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Partnership Pipeline — String Normalisation + Daily Sum Series
x402
Partnership Pipeline — String Normalisation + Daily Sum 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).
Normalises string fields and computes daily sum time series for partnership pipeline records (qualified_partners, active_partners) across up to 200 rows, returning 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Partnership pipeline — String normalisation + Daily sum series: String normalisation + Daily sum 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 analytical reports for the supplied rows: (1) a string normalisation report cleaning and standardising the company_group and related string fields, and (2) a daily sum series report aggregating the selected numeric field (qualified_partners or active_partners) by date across all rows, using local analytical engines with no external data lookups.
Example use cases
Daily qualified partner trend by group
“I have a week of partnership pipeline data across two company groups — can you normalize the group names and give me a daily sum series for qualified_partners? Here are the rows: row-1 group-alpha 2026-11-01 qualified=50 active=5, row-2 group-beta 2026-11-01 qualified=30 active=3, row-3 group-alpha 2026-11-02 qualified=60 active=7, row-4 group-beta 2026-11-02 qualified=25 active=4.”
Active partner daily rollup for reporting
“Can you run string normalization and a daily sum series for active_partners on my pipeline records? I have: row-1 Region-North 2026-10-10 active=12 qualified=100, row-2 Region-South 2026-10-10 active=8 qualified=80, row-3 Region-North 2026-10-11 active=15 qualified=110, row-4 Region-South 2026-10-11 active=9 qualified=90.”
Monthly partner pipeline data cleanup
“I've got messy company group labels and 30 days of partner counts — please normalize the strings and produce a daily sum series for qualified_partners. Starting rows: row-1 'Acme Corp.' 2026-09-01 qualified=200 active=20, row-2 'acme corp' 2026-09-02 qualified=210 active=22, row-3 'Beta Ltd' 2026-09-01 qualified=150 active=15.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-09-027?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw partnership pipeline records with potentially inconsistent string labels and need both normalised text output and a daily aggregated time series for a numeric partner metric in one low-cost call. It is ideal for lightweight batch preprocessing of up to 200 rows without requiring any live data lookups or external integrations.
Side effects
- Missing required fields (row_id, date, company_group) causes validation error
- Date strings not matching YYYY-MM-DD pattern are rejected
- Exceeding 200 rows returns an error or truncates input
- Numeric values outside ±1,000,000,000,000 range are rejected
- Empty rows array returns an error
- Invalid field enum value (anything other than qualified_partners or active_partners) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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