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Document Retrieval Analytics — String Normalisation & Secondary-Measure Weighted Mean
x402
Document Retrieval Analytics — String Normalisation & Secondary-Measure Weighted Mean 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).
Computes string normalisation and secondary-measure weighted mean statistics for document retrieval records (retrieved_bytes, request_ms), returning 2 analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Document retrieval — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean 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
Two analytical reports: (1) a string normalisation report for the selected field (retrieved_bytes or request_ms) across the supplied rows, and (2) a secondary-measure weighted mean report. Both reports are computed locally using shared analytical engines on up to 200 supplied rows, with no external lookups or predictions.
Example use cases
Latency weighted mean across site groups
“I've got 50 rows of document retrieval logs with site_group, date, request_ms, and retrieved_bytes — can you compute the string normalisation and weighted mean for the request_ms field and return both analytical reports?”
Byte retrieval normalisation for content audit
“Run string normalisation and a secondary-measure weighted mean on the retrieved_bytes field for these 120 document retrieval records grouped by site — I need both reports to understand how bytes are distributed across groups.”
Performance benchmarking across date ranges
“I have daily document retrieval data for two site groups from October 2026 — 30 rows total — can you normalise the strings and compute the weighted mean for retrieved_bytes and give me the two summary reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-09-034?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular document retrieval records (with retrieved_bytes and request_ms columns) and need both string normalisation and secondary-measure weighted mean statistics in a single low-cost call. Ideal for small-to-medium batches (up to 200 rows) where no live data lookup or external enrichment is needed — purely local, deterministic analytical computation at $0.01 USDC for two reports.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, site_group, date, retrieved_bytes, request_ms) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Field enum value not in ['retrieved_bytes','request_ms'] — rejected
- Null values in numeric fields may affect weighted mean calculation
- Empty rows array — minimum 1 item required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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