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Schema Conformity Analytics — Record Quality Audit, String Normalisation & Two-Measure Correlation
x402
Schema Conformity Analytics — Record Quality Audit, String Normalisation & Two-Measure Correlation 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 local analytical reports on schema conformity data: a record quality audit, string normalisation, and a two-measure correlation between 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 + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation 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 generated from the supplied rows: (1) a record quality audit evaluating the completeness and validity of the input records, (2) a string normalisation report on text fields such as dataset_group, and (3) a two-measure correlation analysis between valid_records and checked_records across all supplied rows.
Example use cases
Daily data pipeline quality check
“I've got a batch of 50 schema conformity records from our daily pipeline across two dataset groups — can you run the record quality audit, string normalisation, and correlation between valid_records and checked_records on all of them?”
Comparing validation rates across teams
“We have records from three different dataset groups over the past month — can you analyse the quality, normalise the string fields, and tell me how valid_records and checked_records correlate across all those groups?”
Spot-checking a small dataset for schema issues
“I have 4 rows of conformity data — group-a and group-b entries from early October 2026 — can you do the three-report audit: quality check, string normalisation, and correlation between the valid and checked record counts?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-204?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 schema conformity records with valid_records and checked_records fields and need all three analyses (quality audit, string normalisation, and two-measure correlation) in a single low-cost call without any external data lookups or live predictions. It is especially suited for automated data pipeline monitoring, batch quality checks, and self-contained local analytical reporting where no external enrichment is required.
Side effects
- Exceeding 200 rows returns an error — batch must be split
- Missing required fields (row_id, date, valid_records, checked_records) cause row-level validation failures
- Date strings not matching YYYY-MM-DD pattern are rejected
- null values in valid_records or checked_records may affect correlation output
- Empty rows array is rejected (minItems: 1)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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