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Partnership Pipeline — Record Quality Audit + String Normalisation + Numeric Distribution
x402
Partnership Pipeline — Record Quality Audit + String Normalisation + Numeric Distribution is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Runs three local analytical reports (record quality audit, string normalisation, numeric distribution) on up to 200 partnership pipeline rows containing qualified_partners and active_partners fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Partnership pipeline — Record quality audit + String normalisation + Numeric distribution: Record quality audit + String normalisation + Numeric distribution 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 reports: (1) a record quality audit flagging null, malformed, or out-of-range values across the supplied rows; (2) a string normalisation report standardising company_group and other string fields; (3) a numeric distribution summary (e.g. min, max, mean, percentiles, histogram) for the selected numeric field (qualified_partners or active_partners). All analysis is performed locally on the supplied data with no external lookups.
Example use cases
Pre-reporting data quality check
“Before we send the quarterly partnership report, can you audit these 50 rows of pipeline data for quality issues, normalise the company group strings, and show me the numeric distribution for active_partners? I'll paste the rows now.”
Detecting anomalies in partner counts
“I've got 120 partnership pipeline records across group-a and group-b from October 2026 — can you run a full data quality audit, clean up any string inconsistencies in the company group names, and give me a numeric distribution of the qualified_partners field so I can spot any unusual values?”
Cleaning new partner intake batch
“We just ingested a new batch of 80 partner records and I need to know if there are any data quality problems, get the company group labels normalised, and see a breakdown of how the qualified_partners numbers are distributed — can you run all three reports on this dataset?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-09-193?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a bundled three-in-one data profiling pass (quality audit + string normalisation + numeric distribution) on up to 200 partnership pipeline rows in a single $0.01 call, without needing live external lookups, ML predictions, or third-party data enrichment. It is ideal for pre-reporting data hygiene checks or batch intake validation of partner records where offline local analysis is sufficient.
Side effects
- Rows array empty or missing — validation error returned
- More than 200 rows submitted — request rejected with maxItems violation
- date field does not match YYYY-MM-DD pattern — schema validation error
- row_id missing or empty — required field validation error
- numeric fields outside allowed range (-1e12 to 1e12) — validation error
- Invalid field enum value (not qualified_partners or active_partners) — schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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