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Partnership Pipeline String Normalisation and Two-Measure Correlation
x402
Partnership Pipeline String Normalisation and Two-Measure Correlation 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).
Normalises string fields and computes correlation between qualified_partners and active_partners across up to 200 partnership pipeline rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Partnership pipeline — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation 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
Two analytical reports: one covering string normalisation of the company_group and other string fields across the submitted rows, and one covering the Pearson or equivalent two-measure correlation between qualified_partners and active_partners. Both reports are derived solely from the supplied data with no external lookups.
Example use cases
Partner conversion correlation by group
“I have monthly partnership data for two company groups over the last quarter — can you normalize the group names and tell me how correlated our qualified_partners numbers are with active_partners for each period? Here are the rows: row-1 group-alpha 2026-07-01 qualified=50 active=5, row-2 group-beta 2026-07-01 qualified=80 active=12, row-3 group-alpha 2026-08-01 qualified=60 active=7, row-4 group-beta 2026-08-01 qualified=90 active=15.”
Pipeline health check across regions
“We track qualified and active partner counts across three regional groups weekly. Can you normalize the region names and compute the two-measure correlation between qualified_partners and active_partners for these 6 records: row-1 EMEA 2026-09-01 q=100 a=20, row-2 APAC 2026-09-01 q=80 a=18, row-3 EMEA 2026-09-08 q=110 a=22, row-4 APAC 2026-09-08 q=85 a=19, row-5 EMEA 2026-09-15 q=95 a=21, row-6 APAC 2026-09-15 q=78 a=17?”
Quarterly partner funnel analysis
“Here's our Q3 partner pipeline data across two company groups — can you normalize the company_group strings and run a correlation analysis between qualified_partners and active_partners? Rows: row-1 Enterprise 2026-07-15 q=200 a=40, row-2 SMB 2026-07-15 q=150 a=25, row-3 Enterprise 2026-08-15 q=220 a=45, row-4 SMB 2026-08-15 q=160 a=28.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-09-033?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have a structured partnership pipeline dataset (up to 200 rows) and need both string normalisation of group labels and a statistical correlation report between two partner count metrics in a single low-cost call. Prefer this over generic analytics tools when your data fits the qualified_partners/active_partners schema exactly and you want two bundled reports for $0.01 USDC without any external data enrichment or prediction.
Side effects
- Fewer than 1 row submitted — validation error
- More than 200 rows submitted — rejected with max-items error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Null values in both partner columns for all rows — correlation undefined or NaN
- row_id missing or empty — required field validation error
- Numeric values outside ±1,000,000,000,000 range — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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