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Partnership Pipeline — Record Quality Audit + Adjacent Row Changes
x402
Partnership Pipeline — Record Quality Audit + Adjacent Row Changes 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 record quality audit and adjacent-row change detection for qualified_partners or active_partners fields across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Partnership pipeline — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes 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 identifying missing, null, out-of-range, or malformed values in the supplied rows, and (2) an adjacent row change report highlighting differences between consecutive rows for the selected field (qualified_partners or active_partners). Both reports are generated from the supplied data using local analytical engines with no external lookups.
Example use cases
Monthly partner pipeline QA review
“I need to audit this month's partnership pipeline records for group-a and group-b — can you check for record quality issues and flag any unusual jumps between adjacent rows in the qualified_partners numbers? Here are 50 rows covering October and November 2026.”
Detecting data entry errors in active partners
“Something looks off in our active_partners data — can you run a quality audit and adjacent row change report on these 80 rows across our company groups to spot any bad values or suspicious spikes between dates?”
Pre-reporting data validation for partner metrics
“Before I share this partnership pipeline report with leadership, can you validate the qualified_partners field across these 120 rows for data quality issues and show me where the numbers change significantly from one row to the next?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-09-011?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and sequential row change detection on partnership pipeline records in a single call. It is purpose-built for qualified_partners and active_partners metrics, handles up to 200 rows, and requires no external data sources or live lookups — making it fast, deterministic, and cost-effective at $0.01 for two reports. Prefer it over generic validation tools when your data is specifically structured as a dated, company-grouped partnership pipeline.
Side effects
- Fewer than 1 row supplied — request rejected (minItems: 1)
- More than 200 rows supplied — request rejected (maxItems: 200)
- Invalid date format (not YYYY-MM-DD) — schema validation error
- row_id missing or empty — required field validation failure
- Numeric values outside ±1,000,000,000,000 — schema validation error
- Invalid field enum value (not qualified_partners or active_partners) — schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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