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Partnership Pipeline — Record Quality Audit + String Normalisation + Base-100 Series
x402
Partnership Pipeline — Record Quality Audit + String Normalisation + Base-100 Series 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 analytical reports on partnership pipeline data: a record quality audit, string normalisation, and a base-100 index series for qualified_partners or active_partners across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Partnership pipeline — Record quality audit + String normalisation + Base-100 series: Record quality audit + String normalisation + Base-100 series 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 together: (1) a record quality audit flagging issues such as nulls, out-of-range values, and format violations per row; (2) a string normalisation report standardising company_group and other text fields; and (3) a base-100 index series for the selected numeric field (qualified_partners or active_partners), rebased to 100 at the specified base_index row. All computed locally with no external lookups.
Example use cases
Quarterly partner data quality check
“I've got about 50 rows of partnership pipeline data with company groups and dates — can you audit the record quality, normalise the company name strings, and generate a base-100 series for qualified_partners starting from the first row?”
Active partner growth benchmarking
“Run the three-report pipeline analysis on my active_partners data for these 30 rows across group-a and group-b, using row index 0 as the base-100 starting point, so I can see relative growth over time.”
Pre-reporting data hygiene sweep
“Before I present our partner metrics, can you check these 100 partnership records for quality issues, normalise the company_group strings, and index the qualified_partners column to 100 starting at row 5?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-09-201?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a combined data-quality audit, string normalisation, and base-indexed time series for partnership pipeline data in a single low-cost call. Ideal for pre-reporting hygiene sweeps, partner growth benchmarking, or data cleaning workflows on datasets up to 200 rows. Prefer this over general-purpose analytics tools when the data is already structured with company_group, date, and partner count fields and you want three reports in one $0.01 call without any external data fetching.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, company_group) causes rejection
- Dates not matching YYYY-MM-DD pattern fail schema validation
- base_index out of range (0–199) or exceeding actual row count causes error
- Null values in the selected numeric field may produce gaps in the base-100 series
- Invalid field enum value (anything other than qualified_partners or active_partners) is rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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