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API Contracts — Exact Row Deduplication + Base-100 Series
x402
API Contracts — Exact Row Deduplication + 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 2026-10-24).
Deduplicates rows in API contract records and computes a Base-100 index series for a chosen numeric field, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
API contracts — Exact row deduplication + Base-100 series: Exact row deduplication + Base-100 series for supplied api contracts records (fields_checked, incompatible_fields). 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 deduplicated version of the submitted rows with exact duplicate records removed, and (2) a Base-100 index series for the selected numeric field (fields_checked or incompatible_fields), anchored at the specified base_index row. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
API contract audit deduplication
“I have a batch of api contract records with fields_checked and incompatible_fields values — some rows might be duplicates. Can you deduplicate them exactly and also give me a Base-100 index series for fields_checked starting at index 0? Here are the rows: row-1 group-a 2026-10-01 fields_checked=10 incompatible_fields=1, row-2 group-b 2026-10-02 fields_checked=20 incompatible_fields=2, row-3 group-a 2026-10-03 fields_checked=15 incompatible_fields=3.”
Incompatible fields trend indexing
“Take my api contract data and run the deduplication plus a Base-100 series on the incompatible_fields column, anchoring the index at row 0. I've got entries for group-a and group-b spanning early October 2026 — about 4 rows total.”
Software component compatibility baseline
“I need to compare how incompatible_fields counts have grown relative to a baseline for my api contract records. Can you deduplicate the rows first, then produce a Base-100 normalized series for incompatible_fields starting from position 0? My dataset has rows for two components across four dates in October 2026.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-software-19-047?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both exact duplicate row detection and Base-100 normalization of a numeric series in a single call on api contract data. It is ideal for software teams analyzing API contract compliance metrics (fields_checked, incompatible_fields) over time across components, where you want a cleaned dataset and a normalized trend index together without setting up a local analytics pipeline. It processes up to 200 rows per call at minimal cost ($0.01 USDC for both reports).
Side effects
- Exceeds 200 row limit — request rejected or truncated
- Invalid date format not matching YYYY-MM-DD pattern — validation error
- Missing required fields (row_id, component, date, fields_checked, incompatible_fields) — schema error
- base_index out of range (0–199) — error or unexpected indexing
- Numeric field values outside allowed range (-1e12 to 1e12) — validation failure
- Empty rows array (minItems:1 not met) — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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