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Partnership Pipeline — Record Quality Audit + Exact Row Deduplication + Base-100 Series
x402
Partnership Pipeline — Record Quality Audit + Exact Row Deduplication + Base-100 Series 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 three analytical reports on supplied partnership pipeline data: a record quality audit, exact row deduplication, and a base-100 index series for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Partnership pipeline — Record quality audit + Exact row deduplication + Base-100 series: Record quality audit + Exact row deduplication + Base-100 series for supplied partnership pipeline records (qualified_partners, active_partners). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent reports: (1) a record quality audit flagging missing, null, or malformed values in the supplied rows; (2) an exact row deduplication report identifying and grouping identical records; and (3) a base-100 index series for the specified numeric field (qualified_partners or active_partners), normalized relative to the chosen base row index. All analysis is performed locally on the supplied data with no external lookups.
Example use cases
Partner data quality check before reporting
“Before I send this to leadership, can you run a quality audit and exact deduplication on these partnership pipeline records? I have about 50 rows with company_group, date, qualified_partners, and active_partners — I need to know if there are data issues or duplicates I should fix first.”
Indexed trend series for qualified partners
“Take my partnership pipeline data for the last quarter — about 90 rows across five company groups — and build a base-100 index series for the qualified_partners field, anchoring to row index 0, plus flag any duplicates and quality problems.”
Pipeline cleanup for CRM reconciliation
“I'm reconciling our CRM partner data and I need to deduplicate exact duplicate rows and audit record quality for these 150 partnership pipeline entries. Use active_partners as the field for the base-100 series, starting from the first row.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-09-218?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled analytical operations on partnership pipeline data in a single low-cost call: record quality auditing, exact deduplication, and base-100 index normalization. It is ideal for pre-report data hygiene, CRM reconciliation, or periodic pipeline health checks on datasets up to 200 rows. Prefer this over single-report endpoints when you need all three analyses together and want to minimize API calls and cost.
Side effects
- Fewer than 1 or more than 200 rows supplied — request rejected
- Invalid date format (not YYYY-MM-DD) on any row — validation error
- Missing required fields (row_id, company_group, date, qualified_partners, active_partners) — schema error
- base_index out of range (0–199) or exceeding actual row count — computation error
- Numeric values outside allowed range (±1,000,000,000,000) — schema rejection
- Empty rows array — minItems violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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