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Partnership Pipeline Analytics — Record Quality Audit, String Normalisation & Grouped Numeric Summary
x402
Partnership Pipeline Analytics — Record Quality Audit, String Normalisation & Grouped Numeric Summary 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: a record quality audit, string normalisation, and grouped numeric summary for up to 200 rows of qualified_partners and active_partners data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Partnership pipeline — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary 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 missing values, format errors, and anomalies across the supplied rows; (2) string normalisation output for the company_group field; and (3) a grouped numeric summary (e.g. counts, totals, averages) for the selected numeric field (qualified_partners or active_partners), grouped by company_group. All processing is performed locally on the supplied data with no external lookups.
Example use cases
Pre-reporting partnership data audit
“Before I send the quarterly partner report, can you run a quality audit and grouped numeric summary on these 50 partnership pipeline rows — they have company_group, date, qualified_partners, and active_partners columns — and flag any data issues I should fix first? Use qualified_partners as the summary field.”
Normalising messy company group names
“My partnership pipeline export has inconsistent company group labels across 120 rows — can you run the string normalisation and record quality audit on this data so I can see what needs cleaning before I load it into our CRM? The rows have row_id, company_group, date, qualified_partners, and active_partners.”
Grouped partner count breakdown by segment
“I have 80 rows of partnership data across groups like group-a and group-b with qualified_partners and active_partners counts — can you give me a grouped numeric summary broken down by company_group so I can see which segments have the most active partners?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-09-194?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three combined analytical operations — quality auditing, string normalisation, and grouped aggregation — on partnership pipeline data in a single cost-efficient call ($0.01 USDC for all three reports). Ideal for pre-ETL validation, CRM data preparation, or periodic partner pipeline reviews where you want to catch data issues, clean string fields, and get group-level numeric summaries together without separate API calls or live data connections.
Side effects
- Empty or missing rows array returns an error
- Rows exceeding 200 items are rejected (maxItems constraint)
- Invalid date format (non-YYYY-MM-DD) fails schema validation
- Numeric values outside ±1,000,000,000,000 are rejected
- Missing required fields (row_id, company_group, date, qualified_partners, active_partners) cause row-level errors
- Invalid field enum value (not qualified_partners or active_partners) returns a validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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