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Schema Conformity — Record Quality Audit + Exact Row Deduplication + Numeric Interval Filter
x402
Schema Conformity — Record Quality Audit + Exact Row Deduplication + Numeric Interval Filter 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 records: a record quality audit, exact row deduplication, and a numeric interval filter — all applied to up to 200 rows of valid_records/checked_records data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Record quality audit + Exact row deduplication + Numeric interval filter: Record quality audit + Exact row deduplication + Numeric interval filter 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 incomplete or malformed rows, (2) an exact row deduplication report identifying identical records, and (3) a numeric interval filter report listing rows where the selected numeric field (valid_records or checked_records) falls within the specified minimum/maximum range. All computed locally from the supplied data with no external lookups.
Example use cases
Deduplication audit on pipeline conformity logs
“I have a batch of 50 schema conformity records from last month — can you run a record quality audit and find any exact duplicate rows? Here are the rows with row_id, date, dataset_group, valid_records, and checked_records fields.”
Filtering valid_records within a safe operating range
“From this list of schema conformity data, filter out any rows where valid_records falls outside the range of 100 to 50000, and also give me a record quality audit — I want to know what's clean versus problematic.”
Three-report QA check before data pipeline handoff
“Before I hand off this dataset to the next pipeline stage, run all three reports on it — record quality audit, exact row deduplication, and a numeric interval filter on checked_records between 0 and 1000 — so I can catch any issues up front.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-214?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled analytical operations — quality audit, deduplication, and range filtering — on schema conformity records in a single $0.01 call, with up to 200 rows processed entirely from supplied data without any external lookups or predictions. Prefer it over single-report endpoints when all three operations are needed simultaneously for cost efficiency.
Side effects
- Exceeding 200 rows returns an error or truncation
- Missing required fields (row_id, date, valid_records, checked_records) causes row-level rejection
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- Minimum greater than maximum produces empty interval filter results
- Non-numeric values in valid_records or checked_records fields cause parsing errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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