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Partnership Pipeline — String Normalisation + Trailing Mean Series
x402
Partnership Pipeline — 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).
Computes string normalisation and a trailing moving-average series for partnership pipeline metrics (qualified_partners, active_partners) across up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Partnership pipeline — String normalisation + Trailing mean series: String normalisation + Trailing mean series for supplied partnership pipeline records (qualified_partners, active_partners). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two independent analytical reports: (1) a string-normalisation report for the company_group labels in the supplied rows, and (2) a trailing mean series for the chosen field (qualified_partners or active_partners) computed over the specified rolling window — all based purely on the supplied data with no external lookups.
Example use cases
Quarterly partner pipeline trend smoothing
“I have 60 rows of weekly partnership pipeline data with company groups, dates, and both qualified and active partner counts — can you normalize the group names and run a trailing mean series with a window of 5 on the qualified_partners field so I can see smoothed trends?”
Monthly active partner rolling average report
“Run a trailing mean series with window size 4 on the active_partners field for our 30-row monthly partnership dataset — also normalize the string labels for company groups so the report is consistent.”
Multi-group partner data normalization check
“We have partnership pipeline records across 8 company groups going back 90 days, about 90 rows total. Can you normalize the company group strings and compute a trailing mean series with window 7 on qualified_partners so we can compare pipeline health across groups?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-09-028?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of partnership pipeline data and need both string normalisation on company group labels and a trailing moving-average series on a numeric partner metric in a single $0.01 call. It is ideal for offline/batch analytical reporting on supplied data where no live data, external lookups, or predictions are required.
Side effects
- Fewer than 1 or more than 200 rows supplied — request rejected
- Date field not in YYYY-MM-DD format — validation error
- Window size smaller than 2 or larger than 200 — invalid parameter
- Numeric field values outside allowed range (±1,000,000,000,000) — validation error
- Missing required fields (row_id, date, company_group, qualified_partners, active_partners) — schema validation failure
- Window larger than number of rows supplied — insufficient data for trailing mean computation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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