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Document Retrieval Analytics — Exact Row Deduplication + Two-Measure Correlation
x402
Document Retrieval Analytics — Exact Row Deduplication + 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 2026-10-26).
Deduplicates up to 200 document retrieval records and computes a correlation analysis between retrieved_bytes and request_ms, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Document retrieval — Exact row deduplication + Two-measure correlation: Exact row deduplication + Two-measure correlation for supplied document retrieval records (retrieved_bytes, request_ms). 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 deduplicated version of the submitted rows with exact duplicate records removed, and (2) a two-measure correlation analysis quantifying the statistical relationship between retrieved_bytes and request_ms across the cleaned dataset.
Example use cases
Web CDN performance correlation audit
“I've got 200 rows of CDN document retrieval logs with row IDs, site groups, dates, byte counts, and millisecond response times — deduplicate any exact duplicate rows and then tell me how strongly retrieved_bytes correlates with request_ms across all the records.”
Site group retrieval efficiency comparison
“Can you clean up my document retrieval dataset (up to 180 rows, each with a row_id, site_group like 'group-a' or 'group-b', a date, retrieved_bytes, and request_ms) by removing exact duplicates and then produce two reports showing the correlation between data size and latency?”
QA check on retrieval pipeline logs
“I'm doing a quality check on our retrieval pipeline — here are around 90 rows of logs with row_id, site_group, date, retrieved_bytes, and request_ms. Please deduplicate them exactly and compute the correlation between bytes retrieved and request time so I can see if slow responses track with file size.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-09-050?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of up to 200 document retrieval records and need both exact deduplication and a two-measure Pearson/statistical correlation between retrieved_bytes and request_ms in a single $0.01 call. Prefer it over general-purpose analytics tools when you want a lightweight, local-engine computation without live data lookup or external integrations. Ideal for periodic QA passes on retrieval logs or performance audits.
Side effects
- Submitting more than 200 rows will be rejected (maxItems constraint)
- Missing required fields (row_id, site_group, date, retrieved_bytes, request_ms) will cause validation errors
- Malformed date strings not matching YYYY-MM-DD pattern will fail schema validation
- Null values in both numeric measures may reduce correlation reliability
- Empty row array (minItems:1 not satisfied) will fail
- Payment failure or insufficient USDC balance will block the call
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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