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Token Supply Snapshots — Record Quality Audit, String Normalisation & Category Frequencies
x402
Token Supply Snapshots — Record Quality Audit, 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 2026-10-26).
Runs three local analytical reports on up to 200 token supply snapshot rows: a record quality audit, string normalisation, and category frequency analysis of circulating/total units data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Token supply snapshots — Record quality audit + String normalisation + Category frequencies: Record quality audit + String normalisation + Category frequencies 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 flagging missing, out-of-range, or malformed values in the supplied rows; (2) a string normalisation report standardising instrument_group and other text fields; (3) a category frequency table showing how often each instrument_group appears. All computed locally with no external lookups.
Example use cases
Pre-pipeline token data quality check
“I have 120 rows of token supply snapshot data with circulating_units and total_units fields — can you audit them for quality issues, normalise the instrument_group strings, and tell me how frequently each category appears before I load them into my data warehouse?”
Crypto analyst instrument group audit
“I need to clean up my token supply dataset — can you run a record quality audit and category frequency report on these 80 rows so I can see which instrument groups are most common and whether any records have bad or missing values?”
DeFi portfolio data validation
“Before I hand off this token supply snapshot dataset to my analyst, can you check for record quality problems, normalise the string fields, and generate a category frequency breakdown? It has about 30 rows with circulating and total units per token group.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-11-195?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of token supply snapshot records (with circulating_units, total_units, instrument_group, and date fields) and need three specific analytical outputs — quality audit, string normalisation, and category frequencies — in a single low-cost ($0.01 USDC) call. Prefer it over generic data tools when you want all three reports together without external API calls or live data lookups.
Side effects
- Fewer than 1 row supplied — minimum item count violation
- More than 200 rows submitted — exceeds maxItems limit
- date field not matching YYYY-MM-DD pattern — schema validation error
- circulating_units or total_units outside ±1,000,000,000,000 range — value out of bounds
- Missing required fields (row_id, instrument_group, date) — schema validation error
- Payment not completed — endpoint returns 402
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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