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Partnership Pipeline — Record Quality Audit + IQR Outlier Flags
x402
Partnership Pipeline — Record Quality Audit + IQR Outlier Flags 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).
Audits up to 200 partnership pipeline records for data quality issues and flags statistical outliers using interquartile range (IQR) analysis across qualified_partners and active_partners fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Partnership pipeline — Record quality audit + IQR outlier flags: Record quality audit + IQR outlier flags 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 reports: (1) a record quality audit identifying issues such as nulls, format errors, and inconsistencies across the supplied rows, and (2) an IQR-based outlier detection report flagging rows where the selected field (qualified_partners or active_partners) falls outside the interquartile range bounds. No external data sources or predictions are involved — all analysis is performed on the supplied data.
Example use cases
Pre-reporting partner data cleanup
“Before I finalize my Q4 partnership report, can you audit these 150 partner pipeline records for data quality issues and flag any outliers in active_partners using IQR analysis? I want to catch bad data before it goes into the deck.”
Monthly partner funnel anomaly detection
“I've got this month's partner pipeline data — about 80 rows across our regional company groups — can you run the quality audit and IQR outlier check on qualified_partners to see which entries look statistically unusual?”
Multi-group pipeline data validation
“We track partnership funnels across five company groups daily. Can you audit these 200 rows of pipeline records and flag any active_partners values that are outliers so I know which groups to investigate?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-09-014?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a combined record quality audit and IQR statistical outlier detection on partnership pipeline data (qualified_partners and active_partners) in a single call. It is purpose-built for the partner pipeline domain and delivers two reports at once for up to 200 rows. Prefer it over generic data quality tools when your data specifically tracks qualified and active partner counts by company group and date.
Side effects
- Fewer than 1 row supplied — request rejected (minItems violation)
- More than 200 rows supplied — request rejected (maxItems violation)
- Invalid date format (not YYYY-MM-DD) — row validation error
- Missing required fields (row_id, company_group, date, qualified_partners, active_partners) — schema validation failure
- All values null for selected field — IQR analysis may return degenerate or empty outlier report
- Numeric values outside allowed range — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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