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Schema Conformity Analytics — Record Quality Audit, String Normalisation & Equal-Width Histogram
x402
Schema Conformity Analytics — Record Quality Audit, String Normalisation & Equal-Width Histogram is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-14).
Runs three analytical reports (record quality audit, string normalisation, and equal-width histogram) on schema conformity data (valid_records and checked_records) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Record quality audit + String normalisation + Equal-width histogram: Record quality audit + String normalisation + Equal-width histogram for supplied schema conformity records (valid_records, checked_records). 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 analytical reports: (1) a record quality audit flagging issues in the conformity records, (2) a string normalisation report standardising text fields, and (3) an equal-width histogram breaking the chosen numeric field (valid_records or checked_records) into the specified number of bins — all computed locally without external lookups.
Example use cases
Daily conformity data quality check
“I have 50 rows of daily schema conformity records for my data pipeline with valid_records and checked_records — can you run a record quality audit and string normalisation on them and also give me a histogram with 8 bins on valid_records?”
Dataset group comparison histogram
“Analyse these 120 conformity tracking rows split across three dataset groups — give me the record quality audit, normalised strings, and a 15-bin equal-width histogram on checked_records so I can see where the distribution clusters.”
Schema validation monitoring report
“Here are my weekly schema conformity logs across two dataset groups from January to March 2024 — run all three reports (quality audit, string normalisation, and a 5-bin histogram) on valid_records so I can spot any anomalies.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-202?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled analytical reports — quality audit, string normalisation, and histogram — on schema conformity data in a single low-cost call. It is ideal for data engineers or analysts who want to profile valid_records and checked_records distributions, catch data quality issues, and normalise string fields without setting up separate analytics pipelines. It is not suitable for live data lookups, predictive analysis, or datasets exceeding 200 rows.
Side effects
- Rows array empty or exceeds 200 items — validation error returned
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Field selector not one of 'valid_records' or 'checked_records' — enum validation failure
- Bins value outside 1–30 range causes parameter rejection
- All values for the selected field are null — histogram cannot be computed
- Malformed row objects with extra properties rejected due to additionalProperties:false
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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