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Token Supply Snapshots — Quality Audit, Deduplication & Trailing Mean
x402
Token Supply Snapshots — Quality Audit, Deduplication & Trailing Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Runs three analytical reports on user-supplied token supply snapshot records: a record quality audit, exact row deduplication, and a trailing mean time series for circulating_units or total_units.
Price / call$0.01
Success—
StatusUnknown
How this service works
Token supply snapshots — Record quality audit + Exact row deduplication + Trailing mean series: Record quality audit + Exact row deduplication + Trailing mean series 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
Returns three independent reports: (1) a record quality audit highlighting issues like nulls or out-of-range values in the supplied rows, (2) a deduplicated set of rows with exact duplicates removed, and (3) a trailing mean time series for the selected field (circulating_units or total_units) computed over the specified rolling window. All analysis is performed locally on the submitted data — no external lookups.
Example use cases
Token supply data quality check
“I have a batch of 150 token supply snapshot records with columns row_id, instrument_group, date, circulating_units, and total_units — can you run a record quality audit on them and tell me which rows have issues?”
Deduplicating circulating supply history
“I've got a set of token supply snapshots and I suspect there are duplicate rows — can you deduplicate them exactly and give me a clean dataset? Here are the rows with row_id, instrument_group, date, circulating_units, and total_units.”
Rolling average for total token units
“Can you calculate a trailing mean series with a window of 5 for total_units across these token supply snapshot records? I'll provide up to 200 rows with row_id, instrument_group, date, circulating_units, and total_units.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-11-216?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 token supply snapshot records and need all three lightweight analytical operations — quality audit, deduplication, and rolling mean — in a single cheap call ($0.01 USDC). It is best for offline/batch data cleaning and descriptive analytics on already-collected data, not for live market data retrieval, price prediction, or large-scale dataset processing beyond 200 rows.
Side effects
- Fewer than 1 row or more than 200 rows submitted — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- window parameter less than 2 or greater than 200 — rejected
- circulating_units or total_units values outside ±1,000,000,000,000 — schema validation failure
- Unrecognized field value (not circulating_units or total_units) — enum validation error
- Missing required fields (row_id, instrument_group, date) — schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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