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Token Supply Snapshots — Secondary-Measure Weighted Mean + Explicit Missing-Value Fill
x402
Token Supply Snapshots — Secondary-Measure Weighted Mean + Explicit Missing-Value Fill 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).
Computes a secondary-measure weighted mean and fills missing values in token supply snapshot records (circulating_units, total_units) for up to 200 rows, returning 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Token supply snapshots — Secondary-measure weighted mean + Explicit missing-value fill: Secondary-measure weighted mean + Explicit missing-value fill 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 2 analytical reports per call: (1) a secondary-measure weighted mean computed over the specified field (circulating_units or total_units) grouped by instrument, and (2) an explicit missing-value-filled version of the dataset using the selected fill method (zero, mean, or median). Results are based entirely on the supplied input rows with no external data lookups.
Example use cases
Token float analysis by group
“I've got daily snapshot rows for several token groups with circulating_units and total_units — can you compute the weighted mean of circulating_units across instrument groups and fill any nulls with the median? Here are the rows: [{"row_id":"r1","date":"2024-01-01","instrument_group":"ETH","circulating_units":120000000,"total_units":null},{"row_id":"r2","date":"2024-01-02","instrument_group":"ETH","circulating_units":121000000,"total_units":150000000}].”
Missing supply data imputation
“Some of my token supply records have null values for total_units. Can you fill those missing values using the mean method and then give me the weighted mean summary? I'll supply up to 150 rows across a few instrument groups.”
Crypto supply snapshot audit
“I need two analytical reports on my token supply snapshot dataset — one using weighted mean on total_units and one with explicit zero-fill for missing values. My dataset has about 80 rows with dates, instrument groups, and both circulating and total unit figures.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-11-187?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a pre-collected dataset of token supply snapshots (up to 200 rows) and need both a weighted mean aggregation and missing-value imputation in a single call. It is ideal for offline/batch analytical workflows where no live market data lookup is needed. Prefer this over general-purpose statistical APIs when your data is already structured with instrument_group, date, circulating_units, and total_units fields and you want two reports for a flat $0.01 USDC fee.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, instrument_group) on any row — validation error
- All values for the target field are null — weighted mean cannot be computed
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Numeric values outside ±1,000,000,000,000 range — rejected by schema
- Payment of 0.01 USDC not provided or declined — 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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