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Partnership Pipeline — Record Quality Audit + Keyed Dataset Comparison
x402
Partnership Pipeline — Record Quality Audit + 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 2026-10-15).
Runs two independent analytical reports on partnership pipeline data: a record quality audit and a keyed comparison between two supplied datasets (qualified_partners vs active_partners), for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Partnership pipeline — Record quality audit + Keyed dataset comparison: Record quality audit + Keyed dataset comparison for supplied partnership pipeline records (qualified_partners, active_partners). 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 analytical reports: (1) a record quality audit identifying missing values, formatting issues, out-of-range figures, and completeness problems across the supplied rows; and (2) a keyed dataset comparison report highlighting row-by-row differences between the two supplied datasets on qualified_partners and active_partners fields, keyed by row_id and company_group. Both reports are generated from the supplied data only, with no external lookups.
Example use cases
Monthly partner pipeline data QA
“I just pulled our October partnership pipeline records for group-a and group-b with qualified and active partner counts. Can you audit them for data quality issues and compare the two monthly snapshots row by row to flag any discrepancies?”
Detecting anomalies in partner activation rates
“We track qualified_partners and active_partners per company group daily. Can you run a quality audit on this month's records and compare them against last month's figures to spot any rows where the numbers look off or inconsistent?”
Pre-reporting data validation for partner metrics
“Before I send our partnership pipeline report to leadership, can you check these records for data quality problems and do a keyed comparison between our two submitted datasets to make sure the qualified and active partner counts are consistent across all company groups?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-09-018?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a keyed side-by-side comparison of two partnership pipeline datasets in a single low-cost call. It is ideal for pre-reporting validation, reconciling two versions of partner data, or routine data hygiene checks on qualified and active partner metrics. It does not perform live lookups, predictions, or external data enrichment — prefer it when your data is already in hand and you need structured analytical reports on it.
Side effects
- Submitting more than 200 rows returns an error — batch must be split
- Rows missing required fields (row_id, date, company_group, qualified_partners, active_partners) will be rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Empty rows array returns an error — at least 1 row required
- Non-numeric values in qualified_partners or active_partners fields cause rejection
- Mismatched row_id keys between the two datasets may result in unmatched rows in the comparison report
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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