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Token Supply Snapshots — String Normalisation + Category Frequencies
x402
Token Supply Snapshots — String Normalisation + Category Frequencies 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 string normalisation and category frequency analysis on up to 200 token supply snapshot records (circulating_units, total_units), returning two local analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Token supply snapshots — String normalisation + Category frequencies: String normalisation + Category frequencies 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
Two analytical reports: (1) a string normalisation report cleaning text fields like instrument_group across up to 200 rows, and (2) a category frequency report counting occurrences of each distinct instrument_group value. No external data is fetched; all analysis runs locally on the supplied rows.
Example use cases
Instrument group distribution audit
“I have 120 token supply snapshot rows across groups like 'eth-mainnet', 'btc-layer2', and 'sol-defi' with dates and circulating/total unit counts — can you run a category frequency analysis to see how many records fall into each instrument group and also normalize any inconsistent string formatting?”
Crypto supply data cleanup before reporting
“Before I publish our monthly token supply report, can you clean up the instrument_group strings and count how frequently each category appears across these 80 snapshot rows? The data covers 2025-03-01 to 2025-03-31 with circulating and total unit fields.”
Multi-token portfolio supply breakdown
“I've got 200 rows of daily token supply snapshots for our portfolio covering five instrument groups from 2024-Q4 — please normalize the string fields and give me the category frequency breakdown so I can see which tokens dominate the dataset.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-11-024?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have token supply snapshot data (circulating and total units by instrument group and date) and need both string field normalisation and category frequency counts in a single call for up to 200 rows, at minimal cost ($0.01 USDC for both reports). It is a local analytical engine — no live market data, no predictions, no external lookups — making it ideal for offline batch data quality and exploratory frequency tasks on pre-collected crypto supply datasets.
Side effects
- Rows array empty or missing — validation error returned
- More than 200 rows submitted — exceeds maxItems limit, request rejected
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- circulating_units or total_units outside ±1,000,000,000,000 range — schema validation error
- row_id missing or empty — minLength violation
- Payment not provided or insufficient — x402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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