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Partnership Pipeline — Date by Category Pivot + Keyed Dataset Comparison
x402
Partnership Pipeline — Date by Category Pivot + 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 analytical reports on partnership pipeline data: a date-by-category pivot table and a keyed dataset comparison, for up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Partnership pipeline — Date by category pivot + Keyed dataset comparison: Date by category pivot + 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 date-by-category pivot table showing the selected metric (qualified_partners or active_partners) broken down by company_group across dates, and (2) a keyed dataset comparison report highlighting differences between the two supplied datasets matched by row key. All computation is performed locally on the supplied data with no external lookups.
Example use cases
Quarterly partner activity breakdown
“I have two quarters of partnership pipeline data with columns row_id, company_group, date, qualified_partners, and active_partners — can you pivot the active_partners field by date and company group, and also compare the two quarters side by side as a keyed dataset comparison?”
Group-level qualification trend analysis
“Run a date-by-category pivot on my partnership pipeline records pivoting on qualified_partners, then compare it against last month's dataset using a keyed comparison — I have both sets ready with row_id, company_group, date, qualified_partners, and active_partners.”
Partner pipeline delta between two business units
“I need to compare two partnership pipeline snapshots from different business units — each has up to 150 rows with row_id, company_group, date, qualified_partners, and active_partners. Can you do a date-by-category pivot on active_partners and a keyed dataset comparison between the two groups?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-09-188?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a date-by-category pivot and a keyed dataset comparison on partnership pipeline data in a single call. It is ideal when you have pre-assembled row data (qualified_partners, active_partners) organized by company_group and date, want offline/local computation with no external data access, and need two bundled analytical outputs cost-effectively at $0.01 USDC for up to 200 rows.
Side effects
- Missing required fields (row_id, company_group, date, qualified_partners, active_partners) cause validation errors
- More than 200 rows submitted — request exceeds row limit
- Invalid date format (must match YYYY-MM-DD pattern) causes schema rejection
- Empty rows array or missing 'other' comparison dataset returns incomplete results
- Non-numeric values in qualified_partners or active_partners fields fail schema validation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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