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Join Coverage Analytics — Numeric Row Ordering + Keyed Dataset Comparison
x402
Join Coverage Analytics — Numeric Row Ordering + Keyed Dataset Comparison 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).
Analyzes join coverage records by producing two reports: a numeric row ordering analysis and a keyed dataset comparison between two supplied datasets of up to 200 rows each.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — Numeric row ordering + Keyed dataset comparison: Numeric row ordering + Keyed dataset comparison for supplied join coverage records (matched_rows, source_rows). 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
Two independent analytical reports: (1) a numeric row ordering of the supplied join coverage records sorted by the selected field (matched_rows or source_rows), and (2) a keyed dataset comparison highlighting differences between the primary and comparison datasets by row_id and dataset_group. Both reports are computed locally with no external lookups.
Example use cases
ETL pipeline join coverage audit
“I ran two ETL jobs last week and want to compare join coverage — here are my baseline and updated records with matched_rows and source_rows by dataset_group and date. Can you order them numerically and show me a keyed comparison on the matched_rows field?”
Data quality regression between snapshots
“I have yesterday's and today's join coverage snapshots, each with row_id, date, dataset_group, source_rows, and matched_rows. Run a numeric ordering and a keyed comparison on source_rows so I can spot any regressions between the two runs.”
Group-level join match rate discrepancy detection
“Here are two batches of join coverage records — group-a and group-b across October — with matched_rows and source_rows. I need a numeric row ordering and a keyed dataset comparison on matched_rows to see which groups drifted between the two datasets.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-123?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to both rank join coverage records numerically and compare two versions of a join coverage dataset side-by-side in a single low-cost call. Ideal for data engineers auditing ETL join completeness, QA analysts comparing pipeline snapshots, or anyone needing a lightweight, offline join coverage diff without external data dependencies.
Side effects
- Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) cause validation errors
- Exceeding 200 rows per dataset results in rejection
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Providing an unrecognized field value for the 'field' enum causes rejection
- Empty rows array (minItems:1 not met) returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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