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Breakdowns

hashtag
Addresses in Loss by Age

get

Addresses in Loss is a metric that counts the number of unique addresses that are in loss, meaning the current price is lower than their average acquisition price. The Addresses in Loss by Age metric further categorizes the number into different age cohorts, offering a detailed view of the distribution across varying holding periods for an asset, from hot addresses (with coins aquired more recently) to cold addresses (older, with dormant coins).\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

View in Studioarrow-up-right

Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 1h, 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/addresses_loss_count_by_age

hashtag
Addresses in Profit by Age

get

Addresses in Profit is a metric that counts the number of unique addresses that are in profit, meaning the current price is higher than their average acquisition price. The Addresses in Profit by Age metric further categorizes the number into different age cohorts, offering a detailed view of the distribution across varying holding periods for an asset, from hot addresses (with coins aquired more recently) to cold addresses (older, with dormant coins).\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

View in Studioarrow-up-right

Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 1h, 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/addresses_profit_count_by_age

hashtag
Market Cap by Age

get

Market Capitalization (Market Cap) is a fundamental metric that calculates the total market value of a digital asset at a given time. It is computed by multiplying the current market price by the total supply of the asset. The Market Cap by Age metric further refines this by categorizing digital assets into different age cohorts, providing a detailed view of the total market value of supply of varying ages. This metric is beneficial for understanding value distribution across different age cohorts, from hot supply (newly acquired coins) to cold supply (older, dormant coins). For example, it can help answer questions like, 'Is the majority of the market value held in older or newer coins?'\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

View in Studioarrow-up-right

Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 10m, 1h, 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/marketcap_usd_by_age

hashtag
Market Cap by PnL

get

Market Capitalization (Market Cap) is a fundamental metric that calculates the total market value of a digital asset at a given time, computed by multiplying the current market price by the total supply of the asset. The Market Cap by Profit and Loss metric further categorizes this data based on unrealized profit and loss levels, using Fibonacci retracement levels to provide a detailed view of the market's valuation. This metric is particularly useful for understanding the distribution of unrealized gains and losses across the market, offering insights into how much of the market cap is held at a profit versus a loss. For example, it can help answer questions like, 'Is the majority of the market cap currently held in assets that are above or below their acquisition cost?'\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

View in Studioarrow-up-right

Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/marketcap_usd_by_pnl

hashtag
Market Cap by Wallet Size

get

Market Capitalization (Market Cap) is a fundamental metric that calculates the total market value of a digital asset at a given time. It is computed by multiplying the current market price by the total supply of the asset. The Market Cap by Wallet Size metric takes this a step further by categorizing digital assets according to the size of their wallets, providing a granular view of the total market value held by different investor classes, from whales to retail investors. This metric is particularly useful for identifying potential discrepancies in the investment base and understanding the behavior of different investor classes. For instance, it can help answer questions like, 'Are larger wallets (whales) holding a greater proportion of the market value compared to smaller wallets (retail investors)?'\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

View in Studioarrow-up-right

Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 10m, 1h, 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/marketcap_usd_by_wallet_size

hashtag
MVRV by Age

get

The MVRV by Age metric is a nuanced version of the Market Value to Realized Value (MVRV) ratio, which compares the market capitalization (the current market value) to the realized capitalization (the value when the coins last moved). The MVRV by Age metric categorizes digital assets into different age cohorts, providing an aggregate assessment of the Unrealized Profit or Loss held across varying age groups. This metric is particularly useful for differentiating the behavior of investors who hold assets for an extended period of time versus those who trade frequently in the short term. For example, it can help answer questions like, 'Are older coins being held at a higher relative valuation than coins that recently changed hands?'\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

View in Studioarrow-up-right

Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 10m, 1h, 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/mvrv_by_age

hashtag
MVRV by PnL

get

The Market Value to Realized Value (MVRV) ratio is a key metric that compares the market capitalization (the current market value) to the realized capitalization (the value when the coins last moved). The MVRV by Profit and Loss metric further categorizes this data based on unrealized profit and loss levels, using Fibonacci retracement levels to provide a nuanced view of the market's valuation. This metric is particularly useful for understanding the distribution of unrealized gains and losses across the market, helping investors gauge whether the current market price is above or below a "fair value." For example, it can help answer questions like, 'Are most digital assets currently held at a profit or a loss relative to their acquisition cost'\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

View in Studioarrow-up-right

Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/mvrv_by_pnl

hashtag
MVRV by Wallet Size

get

The MVRV by Wallet Size metric is a more detailed version of the Market Value to Realized Value (MVRV) ratio. The MVRV ratio is a key indicator that compares the market capitalization (the current market value) to the realized capitalization (the value when the coins last moved). By categorizing digital assets according to the size of their wallets, the MVRV by Wallet Size metric provides a granular assessment of the Unrealized Profit or Loss held across different investor classes, from whales to retail investors alike. This metric is particularly useful for identifying potential discrepancies in the investment base and understanding the behavior of different investor classes. For instance, it can help answer questions like, 'Are larger wallets (whales) holding their assets at a higher value compared to smaller wallets (retail investors)?'\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

View in Studioarrow-up-right

Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 10m, 1h, 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/mvrv_by_wallet_size

hashtag
NUPL by Age

get

Net Unrealized Profit/Loss (NUPL) is the difference between Relative Unrealized Profit and Relative Unrealized Loss. NUPL by Age further segments the metric by considering coins of different age cohorts separately, offering a detailed view of the PnL state across varying holding periods for an asset.\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

View in Studioarrow-up-right

Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 1h, 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/nupl_by_age

hashtag
Realized Cap by Age

get

Realized Capitalization (Realized Cap) is a key metric that calculates the total value of a digital asset based on the price at the time each unit last moved. In other words, it reflects the total acquisition cost of all coins in circulation. The Realized Cap by Age metric provides an additional layer of detail by categorizing digital assets into different age cohorts, offering a comprehensive view of the acquisition cost of supply portions of varying ages. This metric is particularly useful for understanding the distribution of network wealth across different age cohorts, from hot supply (coins that recently moved) to cold supply (older, dormant coins). For example, it can help answer questions like, 'Is the majority of the acquisition cost concentrated in older or newer coins?'\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

View in Studioarrow-up-right

Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 10m, 1h, 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/marketcap_realized_usd_by_age

hashtag
Realized Cap by PnL

get

Realized Capitalization (Realized Cap) is a significant metric that calculates the total acquisition cost of all coins in circulation, based on the price at the time each unit last moved. The Realized Cap by Profit and Loss metric further categorizes this data based on unrealized profit and loss levels, using Fibonacci retracement levels to provide a nuanced view of the network's valuation. This metric is particularly useful for understanding the distribution of unrealized gains and losses across the market, offering insights into how much of the realized cap is held at a profit versus a loss. For example, it can help answer questions like, 'Is the majority of the realized cap currently held in assets that are above or below their acquisition cost?'\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

View in Studioarrow-up-right

Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/marketcap_realized_usd_by_pnl

hashtag
Realized Cap by Wallet Size

get

The Realized Capitalization (Realized Cap) is a significant metric that calculates the total acquisition cost of all coins in circulation, based on the price at the time each unit last moved. The Realized Cap by Wallet Size metric further refines this by categorizing digital assets according to the size of their wallets, providing a granular view of the network wealth held by different investor classes, from whales to retail investors. This metric is particularly useful for identifying potential discrepancies in the investment base and understanding the behavior of different investor classes. For instance, it can help answer questions like, 'Are larger wallets (whales) holding a greater proportion of the acquisition cost compared to smaller wallets (retail investors)?'\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

View in Studioarrow-up-right

Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 10m, 1h, 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/marketcap_realized_usd_by_wallet_size

hashtag
Realized Loss by Age

get

Realized Loss is a metric that calculates the total loss of a digital asset based on the difference between the acquisition price and the sale price of all spent coins where the sale price was lower than the acquisition price. The Realized Loss by Age metric further categorizes these losses into different age cohorts, providing a detailed view of the total loss experienced by holders of supply portions of varying ages. This metric is particularly useful for understanding the distribution of losses across different age cohorts, from hot supply (newly acquired coins) to cold supply (older, dormant coins). For example, it can help answer questions like, 'Is the total realized loss greater for hot or cold supply?'\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

View in Studioarrow-up-right

Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 10m, 1h, 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/realized_loss_by_age

hashtag
Realized Loss by Loss Margin

get

Realized Loss is a key metric that calculates the total loss of a digital asset based on the difference between the acquisition price and the sale price for all spent coins where the sale price was lower than the acquisition price. The Realized Loss by Loss Margin metric further categorizes these losses based on realized loss levels, using Fibonacci retracement levels to provide a nuanced view of the market's loss distribution. This metric is particularly useful for understanding the extent and distribution of realized losses across the market, offering insights into how much of the market's realized loss is concentrated at different levels. For example, it can help answer questions like, 'Are most realized losses occurring at specific retracement levels, indicating potential support or resistance zones?'\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

View in Studioarrow-up-right

Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 10m, 1h, 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/realized_loss_by_pnl

hashtag
Realized Loss by LTH/STH

get

Realized Loss is a metric that quantifies the total loss of a digital asset, calculated by the difference between the acquisition price and the sale price for all spent coins where the sale price was lower than the acquisition price. The Realized Loss by LTH/STH (Long-Term Holders/Short-Term Holders) metric further enhances this by categorizing digital assets into two cohorts based on the duration of holding. LTH/STH supply is defined with respect to the entity's average purchasing date with weights given by a logistic function centered at an age of 155 days and a transition width of 10 days. This provides a more nuanced view of the total loss experienced by both long-term and short-term holders. This metric is particularly useful for understanding the distribution of losses across these two characteristic market participants. For example, it can help answer questions like, 'Are long-term holders experiencing more losses compared to short-term holders?'\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

View in Studioarrow-up-right

Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 10m, 1h, 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/realized_loss_by_lth_sth

hashtag
Realized Loss by Wallet Size

get

Realized Loss is a key metric that calculates the total loss of a digital asset based on the difference between the acquisition price and the sale price for all spent coins where the sale price was lower than the acquisition price. The Realized Loss by Wallet Size metric further refines this by categorizing digital assets according to the size of their wallets. This offers a granular view of the total loss experienced by different investor classes, from whales to retail investors. This metric is particularly useful for understanding the distribution of losses across different wallet sizes and identifying potential risk concentrations. For example, it can help answer questions like, 'Are larger wallets (whales) experiencing more losses compared to smaller wallets (retail investors)?'\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

View in Studioarrow-up-right

Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 10m, 1h, 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/realized_loss_by_wallet_size

hashtag
Realized Price by Age

get

Realized Price is a metric that calculates the average acquisition cost of a digital asset based on the price at the time each unit last moved. The Realized Price by Age metric further categorizes digital assets into different age cohorts, providing a detailed view of the average acquisition cost of supply portions of varying ages. This metric is particularly useful for understanding the distribution of acquisition costs across different age cohorts, from hot supply (newly bought coins) to cold supply (older, dormant coins). For example, it can help answer questions like, 'Is the average acquisition cost higher for older or newer coins?'\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

View in Studioarrow-up-right

Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 10m, 1h, 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/price_realized_usd_by_age

hashtag
Realized Price by PnL

get

Realized Price is a key metric that calculates the average acquisition cost of a digital asset based on the price at the time each unit last moved. The Realized Price by Profit and Loss metric further categorizes this data based on unrealized profit and loss levels, using Fibonacci retracement levels to provide a detailed view of the average acquisition cost relative to the current market price. This metric is particularly useful for understanding the distribution of unrealized gains and losses across the market, offering insights into whether the average acquisition cost is above or below the current market price. For example, it can help answer questions like, 'Is the average acquisition cost of digital assets currently higher or lower than the market price, indicating potential unrealized profit or loss?'\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

View in Studioarrow-up-right

Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/price_realized_usd_by_pnl

hashtag
Realized Price by Wallet Size

get

Realized Price is a key metric that calculates the average acquisition cost of a digital asset based on the price at the time each unit last moved. The Realized Price by Wallet Size metric provides an additional layer of detail by categorizing digital assets according to the size of their wallets. This offers a granular view of the average acquisition cost held by different investor classes, from whales to retail investors. This metric is particularly useful for understanding the distribution of acquisition costs across different wallet sizes. For example, it can help answer questions like, 'Is the average acquisition cost higher for larger wallets (whales) compared to smaller wallets (retail investors)?'\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

View in Studioarrow-up-right

Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 10m, 1h, 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/price_realized_usd_by_wallet_size

hashtag
Realized Profit by Age

get

Realized Profit is a metric that calculates the total profit of a digital asset based on the difference between the acquisition price and the sale price of all spent coins where the sale price was higher than the acquisition price. The Realized Profit by Age metric further categorizes these profits into different age cohorts, providing a detailed view of the total profit experienced by holders of supply portions of varying ages. This metric is particularly useful for understanding the distribution of profits across different age cohorts, from hot supply (recently acquired coins) to cold supply (older coins). For example, it can help answer questions like, 'Is the total realized profit greater for older or newer coins?'\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

View in Studioarrow-up-right

Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 10m, 1h, 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/realized_profit_by_age

hashtag
Realized Profit by LTH/STH

get

Realized Profit is a metric that quantifies the total profit of a digital asset, calculated by the difference between the sale price and the acquisition price for all spent coins where the sale price was higher than the acquisition price. The Realized Profit by LTH/STH (Long-Term Holders/Short-Term Holders) metric further enhances this by categorizing digital assets into two cohorts based on the duration of holding. LTH/STH supply is defined with respect to the entity's average purchasing date with weights given by a logistic function centered at an age of 155 days and a transition width of 10 days. This provides a more nuanced view of the total profit experienced by both long-term and short-term holders. This metric is particularly useful for understanding the distribution of profit-taking across these two characteristic market participants. For example, it can help answer questions like, 'Are long-term holders realizing more profits compared to short-term holders?'\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

View in Studioarrow-up-right

Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 10m, 1h, 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/realized_profit_by_lth_sth

hashtag
Realized Profit by Profit Margin

get

Realized Profit is a metric that calculates the total profit of a digital asset based on the difference between the acquisition price and the sale price of all spent coins where the sale price was higher than the acquisition price. The Realized Profit by Profit Margin metric further categorizes these profits based on realized profit levels. This metric is particularly useful for understanding the extent and distribution of realized profits across the market, offering insights into how much of the market's realized profit is concentrated at different levels. For example, it can help answer questions like, 'Are most realized profits occurring at specific levels, indicating potential zones of profit-taking?'\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

View in Studioarrow-up-right

Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 10m, 1h, 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/realized_profit_by_pnl

hashtag
Realized Profit by Wallet Size

get

Realized Profit is a key metric that calculates the total profit of a digital asset based on the difference between the acquisition price and the sale price for all spent coins where the sale price was higher than the acquisition price. The Realized Profit by Wallet Size metric enhances this by categorizing digital assets according to the size of their wallets. This provides a granular view of the total profit experienced by different investor classes, from whales to retail investors. This metric is particularly useful for understanding the distribution of profits across different wallet sizes and identifying potential profit concentrations. For example, it can help answer questions like, 'Are larger wallets (whales) realizing more profits compared to smaller wallets (retail investors)?'\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

View in Studioarrow-up-right

Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 10m, 1h, 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/realized_profit_by_wallet_size

hashtag
Relative Supply by PnL

get

This is the relative version of Supply by Profit and Lossarrow-up-right.\n\nThe total supply of a digital asset is a fundamental metric representing the total quantity of that asset in circulation. The Supply by Profit and Loss metric further categorizes this total supply based on unrealized profit and loss levels, using Fibonacci retracement levels to provide a detailed view of the distribution of the total supply across different profit and loss thresholds. This metric is particularly useful for understanding how much of the total supply is held at a profit versus a loss, offering insights into the market's overall sentiment and potential support or resistance levels. For example, it can help answer questions like, 'Is the majority of the total supply currently held at a profit or a loss relative to its acquisition cost?'\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

View in Studioarrow-up-right

Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/supply_by_pnl_relative

hashtag
SOPR by Age

get

The Spent Output Profit Ratio (SOPR) is a metric that calculates the profit or loss made by holders of a digital asset when they sell, based on the difference between the sale price and the acquisition price. The SOPR by Age metric further categorizes this data into different age cohorts, providing a detailed view of the profit or loss realized by holders of supply portions of varying ages. This metric is particularly useful for understanding the distribution of profit-making or loss-making sales across different age cohorts, from hot supply (freshly acquired coins) to cold supply (longer-held coins). For example, it can help answer questions like, 'Are older coins being sold at a profit more frequently compared to newer coins?'\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

View in Studioarrow-up-right

Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 10m, 1h, 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/sopr_by_age

hashtag
SOPR by LTH/STH

get

The Spent Output Profit Ratio (SOPR) is a key metric that calculates the profit or loss made by holders of a digital asset when they sell, based on the difference between the sale price and the acquisition price. The SOPR by LTH/STH (Long-Term Holders/Short-Term Holders) metric further refines this by categorizing digital assets into two cohorts based on the duration of holding. LTH/STH supply is defined with respect to the entity's average purchasing date with weights given by a logistic function centered at an age of 155 days and a transition width of 10 days. This provides a more nuanced view of the profit or loss realized by both long-term and short-term holders. This metric is particularly useful for understanding the distribution of profit-making or loss-making sales across these two market participants. For example, it can help answer questions like, 'Are long-term holders selling their assets at a profit more frequently compared to short-term holders?'\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

View in Studioarrow-up-right

Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 10m, 1h, 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/sopr_by_lth_sth

hashtag
SOPR by PnL

get

The Spent Output Profit Ratio (SOPR) is a metric that calculates the profit or loss made by holders of a digital asset when they sell, based on the difference between the sale price and the acquisition price. The SOPR by Profit and Loss metric further categorizes this data based on realized profit and loss levels, using Fibonacci retracement levels to provide a nuanced view of the market's profit and loss distribution. This metric is particularly useful for understanding the extent and distribution of realized profits and losses across the market, offering insights into how much of the market's realized profit or loss is concentrated at different levels. For example, it can help answer questions like, 'Are most sales occurring at a profit or a loss relative to their acquisition cost, and at what levels are these profits or losses concentrated?'\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

View in Studioarrow-up-right

Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 10m, 1h, 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/sopr_by_pnl

hashtag
SOPR by Wallet Size

get

The Spent Output Profit Ratio (SOPR) is a critical metric that calculates the profit or loss made by holders of a digital asset when they sell their assets, based on the difference between the sale price and the acquisition price. The SOPR by Wallet Size metric further refines this by categorizing digital assets according to the size of their wallets. This provides a granular view of the profit or loss realized by different investor classes, from whales to retail investors. This metric is particularly useful for understanding the distribution of profit-making or loss-making sales across different wallet sizes. For example, it can help answer questions like, 'Are larger wallets (whales) selling their assets at a profit more frequently compared to smaller wallets (retail investors)?'\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

View in Studioarrow-up-right

Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 10m, 1h, 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/sopr_by_wallet_size

hashtag
Spent Volume by Age

get

Spent Volume is a metric that calculates the total volume of digital assets sold, providing an insight into the overall market activity. The Spent Volume by Age metric further categorizes this data into different age cohorts, offering a detailed view of the volume of assets sold by holders of supply portions of varying ages. This metric is particularly useful for understanding sales distribution across different age cohorts, from hot supply (newly acquired coins) to cold supply (older, dormant coins). This can help identify periods of increased selling activity among different age cohorts. For example, it can help answer questions like, 'Are older coins being sold more frequently than newer ones?'\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

View in Studioarrow-up-right

Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 10m, 1h, 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
cstringOptional

currency - NATIVE, USD

timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/spent_volume_sum_by_age

hashtag
Spent Volume by LTH/STH

get

Spent Volume is a key metric that calculates the total volume of digital assets that have been sold, providing a comprehensive view of overall market activity. The Spent Volume by LTH/STH (Long-Term Holders/Short-Term Holders) version of this metric further refines this data by categorizing digital assets into two cohorts based on the duration of holding. LTH/STH supply is defined with respect to the entity's average purchasing date with weights given by a logistic function centered at an age of 155 days and a transition width of 10 days. This provides a more nuanced view of the volume of assets sold by both long-term and short-term holders. This metric is particularly useful for understanding sales distribution across these two market participant groups. For example, it can help answer questions like, 'Are long-term holders selling their assets more frequently compared to short-term holders?'\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

View in Studioarrow-up-right

Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 10m, 1h, 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
cstringOptional

currency - NATIVE, USD

timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/spent_volume_sum_by_lth_sth

hashtag
Spent Volume by PnL

get

Spent Volume is a key metric that calculates the total volume of digital assets that have been sold, providing a comprehensive view of overall market activity. The Spent Volume by Profit and Loss metric further categorizes this data based on realized profit and loss levels, using Fibonacci retracement levels to provide a nuanced view of the market's sales distribution. This metric is particularly useful for understanding the extent and distribution of both profit-making and loss-making sales across the market, offering insights into how much of the spent volume is concentrated at different profit or loss levels. For example, it can help answer questions like, 'Are most digital assets being sold at specific profit or loss levels, indicating potential zones of market activity?'\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

View in Studioarrow-up-right

Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 10m, 1h, 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
cstringOptional

currency - NATIVE, USD

timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/spent_volume_sum_by_pnl

hashtag
Spent Volume by Wallet Size

get

Spent Volume is a key metric that calculates the total volume of digital assets that have been sold, providing a comprehensive view of overall market activity. The Spent Volume by Wallet Size metric further refines this data by categorizing digital assets according to the size of their wallets. This offers a detailed view of the volume of assets sold by different investor classes, from whales to retail investors. This metric is particularly useful for understanding the distribution of sales across different wallet sizes and identifying potential market trends. For example, it can help answer questions like, 'Are larger wallets (whales) selling their assets more frequently compared to smaller wallets (retail investors)?'\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

View in Studioarrow-up-right

Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 10m, 1h, 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
cstringOptional

currency - NATIVE, USD

timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/spent_volume_sum_by_wallet_size

hashtag
Spent Volume in Loss by Age

get

Spent Volume in Loss is a metric that calculates the total volume of digital assets sold at a loss, meaning the sale price was lower than the acquisition price. The Spent Volume in Loss by Age metric further categorizes these volumes into different age cohorts, providing a detailed view of the volume of assets sold at a loss by holders of supply portions of varying ages. This metric is particularly useful for understanding the distribution of loss-making sales across different age cohorts, from hot supply (newly bought coins) to cold supply (older, dormant coins). For example, it can help answer questions like, 'Is the volume of assets sold at a loss greater for older or newer coins?'\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

View in Studioarrow-up-right

Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 10m, 1h, 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
cstringOptional

currency - NATIVE, USD

timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/spent_volume_loss_sum_by_age

hashtag
Spent Volume in Loss by LTH/STH

get

The Spent Volume in Loss is a metric that quantifies the total volume of digital assets sold at a loss, meaning the sale price was lower than the acquisition price. The Spent Volume in Loss by LTH/STH (Long-Term Holders/Short-Term Holders) metric further enhances this by categorizing digital assets into two cohorts based on the duration of holding. LTH/STH supply is defined with respect to the entity's average purchasing date with weights given by a logistic function centered at an age of 155 days and a transition width of 10 days. This provides a more nuanced view of the volume of assets sold at a loss by both long-term and short-term holders. This metric is particularly useful for understanding the distribution of loss-making sales across these two market participants. For example, it can help answer questions like, 'Are long-term holders selling their assets at a loss more frequently compared to short-term holders?'\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

View in Studioarrow-up-right

Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 10m, 1h, 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
cstringOptional

currency - NATIVE, USD

timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/spent_volume_loss_sum_by_lth_sth

hashtag
Spent Volume in Loss by Wallet Size

get

The Spent Volume in Loss is a metric that calculates the total volume of digital assets sold at a loss, meaning the sale price was lower than the acquisition price. The Spent Volume in Loss by Wallet Size metric further refines this by categorizing digital assets according to the size of their wallets. This provides a granular view of the volume of assets sold at a loss by different investor classes, from whales to retail investors. This metric is particularly useful for understanding the distribution of loss-making sales across different wallet sizes and identifying potential risk concentrations. For example, it can help answer questions like, 'Are larger wallets (whales) selling their assets at a loss more frequently compared to smaller wallets (retail investors)?'\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

View in Studioarrow-up-right

Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 10m, 1h, 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
cstringOptional

currency - NATIVE, USD

timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

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application/json
get
/v1/metrics/breakdowns/spent_volume_loss_sum_by_wallet_size

hashtag
Spent Volume in Profit by Age

get

Spent Volume in Profit is a metric that measures the total volume of digital assets sold at a profit, meaning the sale price was higher than the acquisition price. The Spent Volume in Profit by Age metric further categorizes these volumes into different age cohorts, providing a detailed view of the volume of assets sold at a profit by holders of supply portions of varying ages. This metric is particularly useful for understanding the distribution of profit-making sales across different age cohorts, from hot supply (newly bought coins) to cold supply (older, dormant coins). For example, it can help answer questions like, 'Are older coins being sold at a profit more frequently compared to newer coins?'\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

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Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 10m, 1h, 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
cstringOptional

currency - NATIVE, USD

timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
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200

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application/json
get
/v1/metrics/breakdowns/spent_volume_profit_sum_by_age

hashtag
Spent Volume in Profit by LTH/STH

get

Spent Volume in Profit is a metric that quantifies the total volume of digital assets sold at a profit, meaning the sale price was higher than the acquisition price. The Spent Volume in Profit by LTH/STH (Long-Term Holders/Short-Term Holders) version of this metric further refines this data by categorizing digital assets into two cohorts based on the duration of holding. LTH/STH supply is defined with respect to the entity's average purchasing date with weights given by a logistic function centered at an age of 155 days and a transition width of 10 days. This provides a more nuanced view of the volume of assets sold at a profit by both long-term and short-term holders. This metric is particularly useful for understanding the distribution of profit-making sales across these two market participant groups. For example, it can help answer questions like, 'Are long-term holders realizing profits more frequently compared to short-term holders?'\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

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Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 10m, 1h, 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
cstringOptional

currency - NATIVE, USD

timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
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200

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application/json
get
/v1/metrics/breakdowns/spent_volume_profit_sum_by_lth_sth

hashtag
Spent Volume in Profit by Wallet Size

get

Spent Volume in Profit is a metric that measures the total volume of digital assets sold at a profit, meaning the sale price was higher than the acquisition price. The Spent Volume in Profit by Wallet Size metric further refines this by categorizing digital assets according to the size of their wallets, offering a detailed view of the volume of assets sold at a profit by different investor classes, from whales to retail investors. This metric is particularly useful for understanding the distribution of profit-making sales across different wallet sizes and identifying potential profit concentrations. For example, it can help answer questions like, 'Are larger wallets (whales) selling their assets at a profit more frequently compared to smaller wallets (retail investors)?'\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

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Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 10m, 1h, 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
cstringOptional

currency - NATIVE, USD

timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
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200

Successful response

application/json
get
/v1/metrics/breakdowns/spent_volume_profit_sum_by_wallet_size

hashtag
Supply by Age

get

The total supply of a digital asset is a fundamental metric representing the total quantity of that asset in circulation. The Supply by Age metric further categorizes this total supply into different age cohorts, offering a detailed view of the distribution of the total supply across varying holding periods for these assets, from hot supply (recently moved coins) to cold supply (older, dormant coins). This metric is particularly useful for understanding the age distribution of the total supply, which can provide insights into the maturity and stability of a digital asset's market. For example, it can help answer questions like, 'Is the majority of the total supply held in older coins, indicating a mature market, or in newer coins, indicating a growing market?'\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

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Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 10m, 1h, 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
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200

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application/json
get
/v1/metrics/breakdowns/supply_by_age

hashtag
Supply by Investor Behavior

get

hashtag
Understanding Who’s Behind the Market Moves\n\nThe goal is to classify token supply based on the behavior of market participants. The idea is simple but powerful: instead of just looking at supply levels, we look at who is buying and who is selling. Is it mostly first-time buyers entering the market? Are we seeing conviction buyers step in while the price drops? Or is the current activity driven by momentum buyers, profit takers, or loss sellers?\n\n#### Cohort Definitions\n\nTo make this work, we created a set of behavior-based cohorts:\n\n- Conviction Buyers: Investors who buy despite falling prices. They believe in the long-term and lower their cost basis.\n- Momentum Buyers: Investors who buy during uptrends, typically increasing their average cost basis.\n- First Buy: First-time buyers entering the market — a clean slate.\n- Loss Sellers: Investors exiting at a loss.\n- Profit Takers: Investors locking in gains.\n\nThe metric tracks the cumulative token supply held by each cohort over time. To focus solely on investor behavior, we exclude exchanges and smart contracts.\n\nFor Bitcoin, this analysis is conducted at the entity level rather than the address level, grouping addresses that belong to the same user.

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Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
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200

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application/json
get
/v1/metrics/breakdowns/supply_by_investor_behavior

hashtag
Supply by PnL

get

The total supply of a digital asset is a fundamental metric representing the total quantity of that asset in circulation. The Supply by Profit and Loss metric further categorizes this total supply based on unrealized profit and loss levels, using Fibonacci retracement levels to provide a detailed view of the distribution of the total supply across different profit and loss thresholds. This metric is particularly useful for understanding how much of the total supply is held at a profit versus a loss, offering insights into the market's overall sentiment and potential support or resistance levels. For example, it can help answer questions like, 'Is the majority of the total supply currently held at a profit or a loss relative to its acquisition cost?'\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

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Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/supply_by_pnl

hashtag
Supply by Wallet Size

get

The total supply of a digital asset is a fundamental metric representing the total quantity of that asset in circulation. The Supply by Wallet Size metric further refines this by categorizing the total supply according to the size of their wallets, providing a granular view of the distribution of the total supply across different investor classes, from whales to retail investors. This metric is particularly useful for understanding the distribution of the total supply across different wallet sizes, which can provide insights into the diversity and concentration of a digital asset's market. For example, it can help answer questions like, 'Is the majority of the total supply held in larger wallets (whales), indicating a concentrated market, or is it more evenly distributed across smaller wallets (retail investors), indicating a diverse market?'\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

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Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 10m, 1h, 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/supply_by_wallet_size

hashtag
Supply in Loss by Age

get

Supply in Loss is a metric that measures the supply of digital assets that is currently in loss, meaning the current price is lower than the acquisition price. The Supply in Loss by Age metric further categorizes the supply in loss into different age cohorts, offering a detailed view of the distribution across varying holding periods for these assets, from hot supply (recently moved coins) to cold supply (older, dormant coins).\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

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Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 1h, 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
cstringOptional

currency - NATIVE, USD

timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/supply_loss_by_age

hashtag
Supply in Profit by Age

get

Supply in Profit is a metric that measures the supply of digital assets that is currently in profit, meaning the current price is higher than the acquisition price. The Supply in Profit by Age metric further categorizes the supply in profit into different age cohorts, offering a detailed view of the distribution across varying holding periods for these assets, from hot supply (recently moved coins) to cold supply (older, dormant coins).\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

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Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 1h, 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
cstringOptional

currency - NATIVE, USD

timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/supply_profit_by_age

hashtag
Unrealized Loss by Age

get

Relative Unrealized Loss is a metric that shows the total loss in USD of all coins whose acquisition price was higher than the current price, normalized by the total value in USD of the coins. The metric Relative Unrealized Loss by Age further categorizes the coins into different age cohorts, offering a detailed view of the distribution and PnL state across varying holding periods for an asset, from hot supply (recently moved coins) to cold supply (older, dormant coins).\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

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Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 1h, 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/unrealized_loss_by_age

hashtag
Unrealized Profit by Age

get

Relative Unrealized Profit is a metric that shows the total profit in USD of all coins whose acquisition price was lower than the current price, normalized by the total value in USD of the coins. The metric Relative Unrealized Profit by Age further categorizes the coins into different age cohorts, offering a detailed view of the distribution and PnL state across varying holding periods for an asset, from hot supply (recently moved coins) to cold supply (older, dormant coins).\n\nNote: The breakdown metrics utilize an address-based approach, analyzing transactions and holdings based on individual wallet addresses to facilitate comparability across digital assets and to ensure consistent analysis across various blockchain architectures. This contrasts with the alternative UTXO-based approach for chains like Bitcoin, where unspent transaction outputs are analyzed to categorize asset properties. As such, metrics for UTXO-based assets may show slight deviations if compared across these different computational methods.

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Authorizations
api_keystringRequired

Your Glassnode API key

Query parameters
astringRequired

asset id - (see metadata (metadata/metric) page for more details)}

sintegerOptional

since, unix timestamp

uintegerOptional

until, unix timestamp

istringOptional

frequency interval - 1h, 24h

fstring · enumOptional

format - csv, json

Default: jsonPossible values:
timestamp_formatstring · enumOptional

timestamp format - unix or humanized (RFC 3339)

Default: unixPossible values:
Responses
chevron-right
200

Successful response

application/json
get
/v1/metrics/breakdowns/unrealized_profit_by_age
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