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Join Coverage Analytics: Record Quality Audit + Exact Row Deduplication + Numeric Row Ordering
x402
Join Coverage Analytics: Record Quality Audit + Exact Row Deduplication + Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Runs three analytical reports on join coverage data (matched_rows, source_rows): record quality audit, exact row deduplication, and numeric row ordering — all locally, with no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — Record quality audit + Exact row deduplication + Numeric row ordering: Record quality audit + Exact row deduplication + Numeric row ordering for supplied join coverage records (matched_rows, source_rows). 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 computed locally on the supplied join coverage rows: (1) a record quality audit flagging missing, null, or out-of-range values; (2) an exact row deduplication report identifying and removing duplicate records; (3) a numeric row ordering report sorting rows by the selected field (matched_rows or source_rows). No external data is fetched or appended.
Example use cases
Auditing join quality before pipeline promotion
“Before I promote this pipeline to production, can you run a quality audit, deduplication check, and numeric ordering on my join coverage records for the matched_rows field? I have 12 rows across two dataset groups from the past two weeks.”
Detecting duplicate records in join results
“I suspect there are duplicate rows in my join coverage export — can you run the exact deduplication report alongside a quality audit and numeric ordering on my source_rows field? I'll pass you 40 rows with their dates and dataset group labels.”
Ordering join coverage metrics numerically for review
“Can you numerically order my join coverage data by source_rows and also give me the quality audit and deduplication results? I have 25 rows covering group-alpha and group-beta from October 2026.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-213?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need all three of: record quality auditing, exact deduplication, and numeric ordering on join coverage data (matched_rows/source_rows) in a single low-cost call. Ideal for data engineers validating join pipeline outputs before downstream use, where offline/local computation is sufficient and no live lookup or ML prediction is needed. Prefer over single-report sibling endpoints when you need all three reports at once on up to 200 rows.
Side effects
- More than 200 rows submitted — exceeds maxItems limit, request rejected
- Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) — validation error
- date field does not match YYYY-MM-DD pattern — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — schema rejection
- Invalid field enum value (not 'matched_rows' or 'source_rows') — schema error
- Empty rows array (minItems=1 not satisfied) — request rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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