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Partnership Pipeline — Record Quality Audit + Date by Category Pivot
x402
Partnership Pipeline — Record Quality Audit + Date by Category Pivot 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 two local analytical reports on partnership pipeline data: a record quality audit and a date-by-category pivot for qualified_partners or active_partners metrics.
Price / call$0.01
Success—
StatusUnknown
How this service works
Partnership pipeline — Record quality audit + Date by category pivot: Record quality audit + Date by category pivot 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 issues such as nulls, malformed dates, out-of-range values, and missing required fields across the supplied rows; (2) a date-by-category pivot table summarizing the chosen field (qualified_partners or active_partners) broken down by date and company_group. All computation is performed locally on the supplied data — no external lookups or predictions.
Example use cases
Partner data quality check before reporting
“I have a batch of partnership pipeline rows for group-a and group-b with dates and qualified_partners counts — can you run a record quality audit on them to flag any missing values, bad dates, or outliers before I send the report to leadership?”
Date pivot for active partner trends
“Take these 80 partnership pipeline records across multiple company groups and pivot the active_partners numbers by date and category so I can see how partner activity breaks down over time.”
Pre-integration validation of pipeline export
“We just exported 150 rows from our partner CRM with row_id, company_group, date, qualified_partners, and active_partners — can you audit the record quality and also give me a date-by-category pivot on qualified_partners to make sure everything looks clean before we load it into our data warehouse?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-09-017?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a date-by-category pivot on partnership pipeline data (qualified_partners, active_partners) in a single low-cost call. It is ideal for pre-analysis validation of CRM exports, pipeline health checks, or preparing partner data for downstream reporting — and it requires no external data sources or live lookups. It is not suitable for real-time partner data retrieval, predictive analytics, or datasets exceeding 200 rows.
Side effects
- Rows array is empty or missing — validation error returned
- Row count exceeds 200 — request rejected with limit error
- date field does not match YYYY-MM-DD pattern — schema validation failure
- Required fields (row_id, company_group, date) missing from a row — error or row flagged
- field enum value not recognized — schema validation failure
- Numeric values outside allowed range (-1T to 1T) — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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