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Partnership Pipeline — Record Quality Audit + String Normalisation + Trailing Mean Series
x402
Partnership Pipeline — Record Quality Audit + String Normalisation + Trailing Mean 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 local analytical reports on partnership pipeline data: record quality audit, string normalisation, and trailing mean series for qualified_partners or active_partners fields, across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Partnership pipeline — Record quality audit + String normalisation + Trailing mean series: Record quality audit + String normalisation + Trailing mean 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 identifying missing, malformed, or out-of-range values; (2) a string normalisation report cleaning and standardising company_group text fields; and (3) a trailing mean series computing rolling window averages for the selected numeric field (qualified_partners or active_partners) across the provided date-ordered rows.
Example use cases
Partner pipeline data quality check
“I have a CSV export of our partnership pipeline with columns row_id, company_group, date, qualified_partners, and active_partners — can you audit the data quality, normalise the company group strings, and compute a trailing mean with a window of 4 on qualified_partners for these 50 rows?”
Rolling average for active partner trend
“Take these 30 rows of daily active_partners and qualified_partners data for our partner groups and calculate the trailing mean series over a window of 7 for active_partners, plus flag any quality issues and normalise the group name strings.”
Pre-reporting pipeline data cleanup
“Before I send this partnership pipeline report to leadership, can you run a quality audit, string normalisation, and a trailing mean with window 2 on the qualified_partners field across these 100 rows to make sure everything looks clean and consistent?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-09-199?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have partnership or CRM pipeline tabular data and need a bundled, cost-efficient set of three offline analytical reports — quality audit, string normalisation, and rolling mean — without requiring any external data lookups, predictions, or live integrations. Ideal for pre-reporting cleanup or batch pipeline analytics at low cost ($0.01 for all three reports on up to 200 rows).
Side effects
- Fewer than 1 row submitted — validation error
- More than 200 rows submitted — rejected with row limit error
- Invalid date format (not YYYY-MM-DD) on any row — schema validation failure
- Window size larger than number of rows — may return partial or empty trailing mean series
- Missing required fields (row_id, company_group, date) — schema rejection
- Non-numeric value in qualified_partners or active_partners where null not allowed — type error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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