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Partnership Pipeline — Record Quality Audit + String Normalisation + Daily Sum Series
x402
Partnership Pipeline — Record Quality Audit + String Normalisation + Daily Sum Series 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 three analytical reports on partnership pipeline data: a record quality audit, string normalisation, and daily sum series for qualified_partners and active_partners metrics.
Price / call$0.01
Success—
StatusUnknown
How this service works
Partnership pipeline — Record quality audit + String normalisation + Daily sum series: Record quality audit + String normalisation + Daily sum series for supplied partnership pipeline records (qualified_partners, active_partners). 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 reports computed locally from the supplied rows: (1) a record quality audit identifying data issues such as nulls, out-of-range values, or malformed dates; (2) string normalisation results for the company_group field; and (3) a daily sum series for the selected field (qualified_partners or active_partners) aggregated across all rows by date.
Example use cases
Partner data quality check before reporting
“I have 150 rows of partnership pipeline data with row_id, date, company_group, qualified_partners, and active_partners. Can you run a record quality audit on them so I can catch any nulls, bad formats, or anomalies before I present the numbers to leadership?”
Daily active partner trend aggregation
“Take these partnership records for groups A and B across October 2026 and give me a daily sum series for active_partners so I can see how partner activity trends day by day.”
Normalise company group labels in partner pipeline
“My partner pipeline export has inconsistent company_group strings across 80 rows — can you normalise those strings and also run the record quality audit so I know which rows have issues?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-09-198?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously assess data quality, clean string fields, and compute daily aggregates on partnership pipeline data in a single low-cost call. It is best suited for offline/supplied-data analysis where no live lookup, external data enrichment, or predictive modelling is required. At $0.01 for three reports on up to 200 rows it is highly cost-effective for routine pipeline hygiene and trend summarisation tasks.
Side effects
- Empty rows array or missing required fields (row_id, date, company_group) causes validation error
- More than 200 rows submitted — exceeds maxItems limit
- Malformed date strings not matching YYYY-MM-DD pattern rejected
- Numeric values outside ±1,000,000,000,000 range rejected
- Missing field selector defaults to qualified_partners but may return unexpected metric
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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