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Partnership Pipeline — Record Quality Audit + String Normalisation + Adjacent Row Changes
x402
Partnership Pipeline — Record Quality Audit + String Normalisation + 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 three analytical reports (record quality audit, string normalisation, and adjacent row change detection) on up to 200 partnership pipeline rows containing qualified_partners and active_partners metrics.
Price / call$0.01
Success—
StatusUnknown
How this service works
Partnership pipeline — Record quality audit + String normalisation + Adjacent row changes: Record quality audit + String normalisation + Adjacent row changes 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 analytical reports for the submitted partnership pipeline rows: (1) a record quality audit flagging missing, null, or out-of-range values; (2) a string normalisation report standardising company_group and other text fields; and (3) an adjacent row change report identifying significant shifts between consecutive row values in the selected metric field (qualified_partners or active_partners).
Example use cases
Partner pipeline data quality check
“I exported our partner CRM data into rows with date, company_group, qualified_partners, and active_partners — can you run a record quality audit on all 150 rows and tell me which ones have missing or malformed values?”
Detecting sudden partner count swings
“I need to know if any consecutive rows in my partnership pipeline show a big jump or drop in active_partners — can you run the adjacent row changes report on these 60 rows so I can spot any suspicious spikes?”
Normalising company group labels across partner records
“Our partner data has inconsistent company group names across about 120 rows — can you run the string normalisation report on the qualified_partners field so we get consistent labels before we load this into our dashboard?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-09-200?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, local (no-external-lookup) analytical processing of partnership pipeline tabular data in a single call that delivers three complementary reports — quality audit, string normalisation, and adjacent-row change detection — for up to 200 rows at once. It is ideal for pre-ingestion data cleaning, CRM export validation, and pipeline health checks where you want structured multi-report output without any live data enrichment or external API calls.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, date, company_group) cause row-level errors
- Invalid date format (non-YYYY-MM-DD) triggers pattern validation failure
- Numeric values outside ±1,000,000,000,000 range rejected by schema
- Empty rows array returns an error
- Field selector not one of 'qualified_partners' or 'active_partners' causes enum validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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