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Partnership Pipeline — Record Quality Audit + String Normalisation + Exact Row Deduplication
x402
Partnership Pipeline — Record Quality Audit + String Normalisation + Exact Row Deduplication 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 exact row deduplication) on partnership pipeline data containing qualified_partners and active_partners fields, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Partnership pipeline — Record quality audit + String normalisation + Exact row deduplication: Record quality audit + String normalisation + Exact row deduplication 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 returned in the response: (1) a record quality audit highlighting issues such as missing values, malformed dates, or out-of-range numerics; (2) a string normalisation report detailing inconsistencies or recommended normalisations in text fields like company_group; (3) an exact row deduplication report identifying rows that are identical across all fields. All analysis is performed locally on the supplied data with no external lookups.
Example use cases
Duplicate partner record detection
“I think my partnership pipeline spreadsheet has some duplicate rows — can you run an exact row deduplication check on these records and tell me which ones are repeated? Here's the data with row_ids, company_group, date, qualified_partners, and active_partners for about 50 rows.”
String inconsistency clean-up in partner list
“Our CRM exports company_group names in inconsistent formats — some are all caps, some mixed case. Can you run a string normalisation report on my partnership pipeline rows so I can see what needs fixing?”
Pre-merge quality audit for partner datasets
“Before we merge two partner datasets together, I want to know which records have quality issues — missing values, bad dates, or outliers. Can you do a record quality audit on these 120 partnership pipeline rows with qualified_partners and active_partners counts?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-09-191?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously audit data quality, normalise strings, and deduplicate exact rows in partnership pipeline records (qualified_partners, active_partners) in a single low-cost call. It is ideal for pre-processing CRM or pipeline exports before merging or reporting, and when you want three coordinated reports on the same dataset without writing custom ETL logic. Prefer this over general-purpose data tools when your data specifically involves partner pipeline fields and you need all three operations bundled for $0.01 USDC per call covering up to 200 rows.
Side effects
- Exceeding 200 rows returns a validation error
- Rows missing required fields (row_id, company_group, date, qualified_partners, active_partners) are rejected
- Dates not matching YYYY-MM-DD pattern cause schema validation failure
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array (minItems:1 violated) returns an error
- Malformed JSON body causes a 400-level error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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