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Token Supply Snapshots — String Normalisation + Two-Measure Correlation
x402
Token Supply Snapshots — String Normalisation + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Normalises token supply snapshot data and computes correlation between circulating_units and total_units across up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Token supply snapshots — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation for supplied token supply snapshots records (circulating_units, total_units). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two analytical reports: (1) a string normalisation report covering the instrument_group and other string fields across submitted rows, and (2) a correlation report quantifying the statistical relationship between circulating_units and total_units. No external data is fetched; all analysis is performed locally on the supplied rows (up to 200).
Example use cases
Crypto token supply correlation audit
“I have daily token supply records for Bitcoin and Ethereum going back 30 days with circulating and total units — can you normalize the instrument names and tell me how correlated the circulating vs total supply figures are across both groups?”
DeFi protocol supply consistency check
“Here are 120 rows of supply snapshots for a DeFi protocol with instrument_group labels that need cleaning — run string normalization on them and give me a correlation report between circulating_units and total_units.”
Multi-token treasury analytics
“I'm tracking supply data for five tokens across the last quarter, each row has a date, a group label, and both circulating and total unit counts — normalize the group strings and calculate the two-measure correlation between the supply metrics for me.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-11-033?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-assembled token supply snapshot records (circulating_units and total_units per instrument group and date) and need both string normalisation of categorical fields and a correlation analysis between the two numeric supply measures in a single low-cost call. It is ideal for batch offline analysis up to 200 rows without requiring live market data, predictions, or external lookups.
Side effects
- Fewer than 1 or more than 200 rows submitted — schema validation error
- Missing required fields (row_id, date, circulating_units, total_units) — rejection with field error
- Date field not matching YYYY-MM-DD pattern — validation failure
- Numeric values outside ±1,000,000,000,000 range — schema rejection
- Payment not completed via x402 protocol — no response returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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