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Partnership Pipeline — Record Quality Audit + String Normalisation + Explicit Missing-Value Fill
x402
Partnership Pipeline — Record Quality Audit + String Normalisation + Explicit Missing-Value Fill 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, normalises, and fills missing values in partnership pipeline records (qualified_partners, active_partners) for 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 + Explicit missing-value fill: Record quality audit + String normalisation + Explicit missing-value fill 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 reports: (1) a record quality audit flagging issues such as malformed dates, out-of-range values, or duplicate row IDs; (2) a string normalisation report detailing transformations applied to text fields like company_group; (3) an explicit missing-value fill report showing which cells in the chosen field (qualified_partners or active_partners) were imputed and with what value (zero, mean, or median). All reports are generated locally from the supplied data with no external lookups.
Example use cases
Pre-analysis partner data cleanup
“I have 150 rows of partnership pipeline data with inconsistent company names and some null values in active_partners — can you run a quality audit, normalise the strings, and fill those nulls using the mean across the dataset?”
Monthly partner reporting data validation
“Before I generate my monthly partner report, please audit these 80 partnership records for quality issues, standardise the company_group field, and fill any missing qualified_partners entries with zero so nothing is left blank.”
CRM data migration quality check
“We're migrating partner records to a new CRM — run a record quality audit, string normalisation, and median-based missing-value fill on these 200 rows covering qualified_partners so I can catch problems before the import.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-09-208?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a bundled, cost-effective ($0.01 USDC) trio of data quality operations — audit, string normalisation, and missing-value imputation — on partnership pipeline records in a single call. It is ideal for pre-analysis cleanup, CRM migration validation, or routine data hygiene on up to 200 partner rows. Prefer it over single-operation endpoints when all three operations are needed simultaneously on the same dataset.
Side effects
- Rows array is empty or exceeds 200 items — request rejected with validation error
- row_id is missing or blank — schema validation failure
- date field does not match YYYY-MM-DD pattern — validation error
- Numeric values outside ±1,000,000,000,000 range — schema rejection
- Invalid method enum value (not zero/mean/median) — validation error
- Invalid field enum value (not qualified_partners/active_partners) — validation error
- Payment not confirmed via x402 protocol — request blocked
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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