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Token Supply Snapshots — Record Quality Audit + String Normalisation + Numeric Interval Filter
x402
Token Supply Snapshots — Record Quality Audit + String Normalisation + Numeric Interval Filter 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).
Runs three local analytical reports on user-supplied token supply snapshot rows: record quality audit, string normalisation, and numeric interval filter for circulating_units or total_units fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Token supply snapshots — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter 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 independent analytical reports: (1) a record quality audit highlighting missing, malformed, or out-of-range values; (2) a string normalisation report on instrument_group and date fields; and (3) a numeric interval filter report identifying rows where the selected field (circulating_units or total_units) falls within or outside the specified minimum/maximum range. All computed locally from the supplied data, no external lookups.
Example use cases
Token supply data integrity check
“I have a batch of token supply snapshots with instrument_group and circulating_units columns — can you audit the record quality, normalise the string fields, and flag any circulating_units rows that fall outside the range 1000 to 50000000?”
Stablecoin total supply range filtering
“Run a numeric interval filter and quality audit on my stablecoin total_units snapshot data — I want to find rows where total_units are between 100000 and 999999999, and also get a string normalisation report on the instrument_group field.”
Multi-token dataset cleanup before reporting
“Before I publish my quarterly token supply report, can you do a quality audit and string normalisation on these 150 rows of circulating_units snapshots, and filter out any rows where circulating_units are below 0 or above 10000000000?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-11-197?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of token supply snapshot data (circulating_units, total_units) and need three bundled analytical reports — quality audit, string normalisation, and numeric interval filter — in a single low-cost call. It is ideal for pre-processing or validating crypto token supply datasets before downstream analysis or reporting, and when no live market data lookup or prediction is needed.
Side effects
- Exceeding 200 rows causes rejection — keep input at or below maxItems limit
- Invalid date format (non-YYYY-MM-DD) will fail schema validation
- Numeric values outside ±1,000,000,000,000 will be rejected
- Missing required fields (row_id, instrument_group, date, circulating_units, total_units) cause per-row errors
- Minimum greater than maximum may produce empty interval filter results
- Payment of 0.01 USDC required per call; insufficient funds cause request failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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