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Document Retrieval Analytics — Weighted Mean & Missing-Value Fill
x402
Document Retrieval Analytics — Weighted Mean & Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Computes a secondary-measure weighted mean and fills missing values for document retrieval records (retrieved_bytes, request_ms) across up to 200 rows, returning 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Document retrieval — Secondary-measure weighted mean + Explicit missing-value fill: Secondary-measure weighted mean + Explicit missing-value fill 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 2 independent analytical reports: (1) a secondary-measure weighted mean of the chosen field (retrieved_bytes or request_ms) and (2) an explicit missing-value fill result for the same dataset, both computed locally on the supplied rows (up to 200) without any external lookups or live data.
Example use cases
Latency outlier imputation for CDN logs
“I have 150 CDN retrieval log rows with site_group, date, retrieved_bytes, and request_ms — some request_ms values are null. Can you fill the missing latency values using mean imputation and then compute the weighted mean of request_ms across all rows? Give me both analytical reports.”
Bytes-retrieved summary by site group
“Here are 80 document retrieval records across two site groups with dates ranging through Q4 2026. Some retrieved_bytes entries are missing — please fill them with zero and calculate the secondary-measure weighted mean on retrieved_bytes, returning both reports.”
Daily retrieval performance audit
“I need to audit daily document retrieval performance for group-a and group-b over October 2026. I have 200 rows with retrieved_bytes and request_ms, a few nulls scattered in both columns. Fill the nulls using median and run the weighted mean analysis on retrieved_bytes — I want both of the analytical reports you produce.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-09-187?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 tabular document retrieval records with retrieved_bytes and request_ms columns, need a secondary-measure weighted mean, and require explicit null/missing-value handling (zero, mean, or median fill) — all without any live data lookups or external connections. It is ideal for lightweight, self-contained batch analytics on retrieval log snapshots at very low cost ($0.01 USDC for 2 reports).
Side effects
- More than 200 rows submitted — request rejected with validation error
- Missing required fields (row_id, site_group, date) on any row — schema validation failure
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- Numeric values outside allowed range (-1e12 to 1e12) — schema rejection
- Empty rows array — minItems:1 violation
- Invalid enum value for field or method parameters — schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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