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Partnership Pipeline — Record Quality Audit + String Normalisation + Numeric Interval Filter
x402
Partnership Pipeline — Record Quality Audit + String Normalisation + Numeric Interval Filter 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).
Audits record quality, normalises strings, and filters by numeric interval for partnership pipeline data (qualified_partners, active_partners) across up to 200 rows, returning 3 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Partnership pipeline — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter 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 3 independent reports: (1) a record quality audit highlighting completeness, missing values, and anomalies; (2) a string normalisation report on the company_group and related text fields; and (3) a numeric interval filter report showing which rows fall within the specified minimum–maximum range for the chosen field (qualified_partners or active_partners). All analysis is performed locally on the supplied data with no external lookups.
Example use cases
Partner data quality health check
“I have a batch of up to 200 partnership pipeline records with company groups, dates, qualified_partners and active_partners counts — can you audit them for record quality issues, normalise the company group strings, and also filter to only show rows where qualified_partners is between 10 and 100?”
Flagging dirty strings in partner CRM export
“We exported our partner CRM data into rows with row IDs, company groups, and partner counts — can you run string normalisation and a record quality audit on these records, filtering the active_partners field between 0 and 50, so I can see which entries have inconsistent formatting or missing values?”
Pipeline interval filter for quarterly review
“For our Q4 review, I need to filter our partnership pipeline rows to just those where qualified_partners falls between 15 and 75, and also get a quality audit and string normalisation report for all the submitted records — there are about 80 rows total.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-09-197?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a combined, cost-effective ($0.01 USDC) three-in-one local analytical pass over partnership pipeline tabular data — specifically quality auditing, string normalisation, and numeric range filtering — without requiring live lookups, external enrichment, or predictions. Ideal for pre-processing CRM exports, validating partner pipeline batches before ingestion, or quickly triaging data quality in qualified/active partner counts.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — request rejected
- date field does not match YYYY-MM-DD pattern — validation error
- numeric field values outside ±1,000,000,000,000 — rejected
- minimum greater than maximum — undefined filter behaviour
- Missing required fields (row_id, company_group, date) — schema validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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