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Partnership Pipeline — Record Quality Audit + Exact Row Deduplication + Trailing Mean Series
x402
Partnership Pipeline — Record Quality Audit + Exact Row Deduplication + 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 2026-10-15).
Runs three local analytical reports on partnership pipeline data: a record quality audit, exact row deduplication, and a trailing mean time series for qualified_partners or active_partners metrics.
Price / call$0.01
Success—
StatusUnknown
How this service works
Partnership pipeline — Record quality audit + Exact row deduplication + Trailing mean series: Record quality audit + Exact row deduplication + 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
Returns three independent analytical reports: (1) a record quality audit flagging issues such as nulls, invalid dates, or out-of-range values; (2) an exact row deduplication report identifying and removing identical rows; and (3) a trailing mean time series for the specified numeric field (qualified_partners or active_partners) using the given window size. All analysis is performed locally on the supplied data with no external lookups.
Example use cases
Partner data quality check before reporting
“I need to audit the quality of my partnership pipeline records before our quarterly report — can you check for nulls, bad formatting, and data issues across these rows for group-a and group-b, with qualified_partners and active_partners fields?”
Deduplicating partner records after CRM export
“I just exported our partner records from the CRM and I think there are duplicate rows — can you run exact deduplication on this dataset of qualified_partners and active_partners entries across multiple company groups?”
Rolling average trend for active partners
“Can you compute a trailing mean series with a window of 4 for active_partners across my partnership pipeline records grouped by company, so I can see the smoothed trend over the past few months?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-09-216?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled analytical operations — quality audit, deduplication, and rolling mean — on partnership pipeline data in a single low-cost call. It is ideal for pre-reporting data hygiene checks on small-to-medium datasets (up to 200 rows) where no external data enrichment, live lookup, or prediction is needed. Prefer it over building custom scripts when you want a fast, offline analytical pass on qualified_partners and active_partners metrics grouped by company.
Side effects
- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, date, company_group, qualified_partners, active_partners) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Window size outside range 2–200 causes parameter rejection
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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