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Partnership Pipeline — String Normalisation + Base-100 Series
x402
Partnership Pipeline — String Normalisation + Base-100 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 a Base-100 index series for qualified_partners or active_partners across up to 200 partnership pipeline rows, returning two analytical reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Partnership pipeline — String normalisation + Base-100 series: String normalisation + Base-100 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: (1) a string normalisation report covering text fields such as company_group across all supplied rows, and (2) a Base-100 index series for the selected numeric field (qualified_partners or active_partners), anchored at the specified base_index row, showing each row's value relative to 100 at the base. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Quarterly partner growth indexing
“I've got 12 rows of monthly partnership data for three company groups across Q4, with qualified_partners counts ranging from 50 to 400. Can you normalise the strings and compute a Base-100 index series for qualified_partners starting from the first row so I can see relative growth across groups?”
Active partner trend baseline analysis
“Run a string normalisation and Base-100 series on my active_partners data — I have 50 rows tagged by company group and date, and I want the index anchored to row 5 so I can see how each group's active partner count moves relative to that baseline.”
Multi-group pipeline data cleanup
“I need to clean up and index partnership pipeline records for two company groups. I have 30 rows with dates, qualified_partners, and active_partners values — some company_group labels have inconsistent casing. Please normalise the strings and give me the Base-100 series for qualified_partners from row index 0.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-09-030?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and a Base-100 relative index series computed together on partnership pipeline data (qualified_partners or active_partners) in a single low-cost call. It is ideal for offline or batch analytical workflows where no live data lookup, prediction, or external enrichment is required — just clean, deterministic computation on your own supplied rows. If you only need one of the two report types, or need more than 200 rows, consider sibling endpoints on the same platform.
Side effects
- Fewer than 1 row supplied — rejected with validation error
- More than 200 rows submitted — exceeds maxItems limit
- base_index out of range (>= number of rows supplied) — invalid index error
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Missing required fields (row_id, company_group, date) — schema validation error
- Numeric values outside allowed range (±1 trillion) — validation rejection
- Payment not completed or insufficient USDC — request rejected before processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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