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Partnership Pipeline — Record Quality Audit + Equal-Width Histogram
x402
Partnership Pipeline — Record Quality Audit + Equal-Width Histogram 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 a data quality audit and an equal-width histogram on up to 200 partnership pipeline records (qualified_partners, active_partners) using local analytical engines, returning two reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Partnership pipeline — Record quality audit + Equal-width histogram: Record quality audit + Equal-width histogram 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 flagging data issues such as nulls, out-of-range values, or missing required fields across the supplied partnership pipeline rows; and (2) an equal-width histogram showing the distribution of values for the selected field (qualified_partners or active_partners) across the specified number of bins. Both reports are generated locally from the supplied data with no external lookups.
Example use cases
Partner data quality check before board report
“Before I present to the board, can you audit these 80 partnership pipeline rows for data quality issues and also show me a 5-bin histogram of our active_partners values across all company groups?”
Histogram distribution of qualified partners by group
“I want to understand how our qualified_partners numbers are distributed — can you run an equal-width histogram with 8 bins on these 120 partner records and flag any quality problems at the same time?”
Automated pipeline data profiling for a new quarter
“We just loaded 200 new rows into our partnership pipeline for Q4 — can you do a full record quality audit and a 10-bin equal-width histogram on the qualified_partners field so I can see if the data looks clean before we proceed?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-09-013?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit AND a distribution histogram for partnership pipeline data in a single low-cost call. It is best suited for batch profiling of up to 200 pre-collected rows without any need for live data lookup, external enrichment, or predictive modeling. Prefer this over general-purpose analytics tools when working specifically with qualified_partners and active_partners metrics in a structured partnership pipeline context.
Side effects
- Exceeds 200 row limit — request rejected
- Missing required row fields (row_id, date, qualified_partners, active_partners) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- bins value outside 1–30 range — rejected
- Field enum value not recognized — error
- Empty rows array — rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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