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Token Supply Snapshots — Record Quality Audit + String Normalisation + Secondary-Measure Weighted Mean
x402
Token Supply Snapshots — Record Quality Audit + String Normalisation + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-29).
Runs three local analytical reports (record quality audit, string normalisation, and secondary-measure weighted mean) on up to 200 token supply snapshot rows containing circulating_units and total_units fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Token supply snapshots — Record quality audit + String normalisation + Secondary-measure weighted mean: Record quality audit + String normalisation + Secondary-measure weighted mean for supplied token supply snapshots records (circulating_units, total_units). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three structured analytical reports: (1) a record quality audit identifying issues such as nulls, out-of-range values, or malformed dates across the rows; (2) a string normalisation report standardising instrument_group and other string fields; and (3) a secondary-measure weighted mean computed over the specified field (circulating_units or total_units), all derived from the supplied data without any external lookups.
Example use cases
Token supply data quality check
“I've got 150 rows of daily token supply snapshots with circulating_units and total_units per instrument_group — can you audit their record quality and flag any issues, normalise the string fields, and compute a weighted mean on circulating_units?”
Weighted mean across token groups
“Run all three analytical reports on this set of 80 token supply rows — record quality audit, string normalisation, and a secondary-measure weighted mean using total_units — grouped by instrument_group and date.”
Pre-analysis data validation for crypto dataset
“Before I pass my token supply dataset into our pipeline, can you check record quality, clean up the instrument_group strings, and give me a weighted mean on circulating_units across these 200 snapshot rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-11-205?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 token supply snapshot rows (circulating_units and total_units) and need three bundled local analytics — quality audit, string normalisation, and weighted mean — in a single low-cost call ($0.01 USDC). Prefer it over separate analytics tools when you want all three reports in one round-trip without any external data lookups or live market data dependencies.
Side effects
- Fewer than 1 or more than 200 rows submitted — request rejected
- Missing required fields (row_id, instrument_group, date, circulating_units, total_units) — validation error
- date field not matching YYYY-MM-DD pattern — schema validation failure
- numeric values outside ±1,000,000,000,000 range — rejected
- Invalid field enum value (must be circulating_units or total_units) — error response
- Payment of 0.01 USDC not included or fails — 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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