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Partnership Pipeline — Record Quality Audit + String Normalisation + Keyed Dataset Comparison
x402
Partnership Pipeline — Record Quality Audit + String Normalisation + 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 three local analytical reports on partnership pipeline data: record quality audit, string normalisation, and keyed dataset comparison between two supplied datasets (up to 200 rows each).
Price / call$0.01
Success—
StatusUnknown
How this service works
Partnership pipeline — Record quality audit + String normalisation + Keyed dataset comparison: Record quality audit + String normalisation + Keyed dataset comparison 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
Three independent analytical reports: (1) a record quality audit flagging nulls, type mismatches, and out-of-range values; (2) a string normalisation report cleaning and standardising company_group and other text fields; and (3) a keyed dataset comparison report showing row-level differences between the two supplied datasets matched on row_id.
Example use cases
Pre-load partner data validation
“Before we import this month's partnership pipeline into our CRM, can you audit the record quality and normalise the company_group strings? I have 80 rows with row_id, date, qualified_partners, and active_partners columns.”
Comparing two partner dataset snapshots
“I have two exports of our partner pipeline from different dates — each about 120 rows with row_id, company_group, date, qualified_partners, and active_partners. Can you do a keyed comparison and tell me which rows differ between them?”
Detecting data entry errors in partner metrics
“Our partner ops team entered qualified_partners and active_partners data manually this quarter. Can you run a quality audit on the 60 rows they submitted and flag any nulls, out-of-range values, or inconsistent company_group names?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-09-207?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need all three of record quality auditing, string normalisation, and keyed dataset comparison run together in a single call on partnership pipeline data with qualified_partners and active_partners fields. It is a cost-efficient option at $0.01 USDC for all three reports on up to 200 rows. Prefer this over general-purpose data tools when your data specifically follows the partnership pipeline schema (row_id, company_group, date, qualified_partners, active_partners) and you need local, offline analysis with no external lookups or predictions.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, company_group, date, qualified_partners, active_partners) — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema rejection
- row_id exceeds 80 characters — validation error
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — rejection
- Empty rows array (minItems: 1 not met) — error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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