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Schema Conformity Record Quality Audit + Exact Row Deduplication
x402
Schema Conformity Record Quality Audit + Exact Row Deduplication is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).
Audits record quality and deduplicates exact rows for schema conformity data (valid_records, checked_records) — delivering two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Record quality audit + Exact row deduplication: Record quality audit + Exact row deduplication for supplied schema conformity records (valid_records, checked_records). 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 two independent reports: (1) a record quality audit summarizing field completeness, value distributions, and anomalies in valid_records and checked_records fields; and (2) an exact row deduplication report identifying which rows are exact copies across row_id, dataset_group, date, valid_records, and checked_records. Both reports are generated using local analytical engines with no external lookups.
Example use cases
Daily conformity pipeline quality check
“I have 50 rows from today's schema conformity pipeline — each row has a row_id, dataset_group, date, valid_records, and checked_records. Can you run a record quality audit and flag any exact duplicate rows for me?”
Deduplicating multi-group conformity logs
“We collect schema conformity logs from three dataset groups daily and suspect some entries are being double-logged. Can you run an exact row deduplication report on these 120 rows so I can see which entries are duplicates?”
Validating conformity metrics before reporting
“Before I send our monthly schema conformity summary to the team, can you audit the quality of these 80 records — checking valid_records and checked_records fields — and also tell me if any rows are exactly duplicated?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-002?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a record quality audit AND exact row deduplication in a single low-cost call for schema conformity tracking data with valid_records and checked_records fields. It is ideal for datasets up to 200 rows where you want two distinct analytical perspectives without external API calls, predictions, or live data lookups. Prefer alternatives if you need fuzzy deduplication, predictive quality scoring, or datasets exceeding 200 rows.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, date, valid_records, checked_records) causes row rejection or error
- Malformed date strings not matching YYYY-MM-DD pattern may cause parsing failures
- Null values in valid_records or checked_records are accepted but may reduce quality audit coverage
- Empty rows array (minItems:1 violated) returns a validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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