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Editorial Review — Numeric Interval Filter + Secondary-Measure Weighted Mean
x402
Editorial Review — Numeric Interval Filter + 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 2026-10-23).
Filters editorial review records by a numeric interval on comment_count or resolved_comments, then computes a weighted mean of the secondary measure, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Editorial review — Numeric interval filter + Secondary-measure weighted mean: Numeric interval filter + Secondary-measure weighted mean for supplied editorial review records (comment_count, resolved_comments). 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) the subset of editorial review rows whose selected field (comment_count or resolved_comments) falls within the specified [minimum, maximum] interval, and (2) the weighted mean of the secondary measure computed over those filtered rows. Results cover up to 200 input rows and are produced entirely from supplied data with no external lookups.
Example use cases
Document review backlog analysis
“I have 150 editorial review records from our writing team. Filter them to rows where comment_count is between 5 and 30, then compute the weighted mean of resolved_comments so I can see how well editors are resolving comments in that activity band.”
High-comment outlier exclusion
“Can you analyze my editorial review dataset — keep only the rows where resolved_comments falls between 1 and 10, and give me the weighted mean of comment_count for those rows? I want to understand the comment load for documents with moderate resolution rates.”
Monthly editorial quality check
“Here are this month's editorial review records across several document groups. Filter to rows where comment_count is between 20 and 100, then calculate the weighted mean of resolved_comments to measure editorial throughput for that range.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-03-132?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have editorial review records with comment_count and resolved_comments fields and need both a numeric range filter and a weighted mean of the complementary measure in a single call. It is ideal for batch analysis of up to 200 rows without any need for external data, live lookups, or predictions. Prefer it over general-purpose analytics when working specifically in a writing, editorial, or document review context and cost efficiency ($0.01 for two reports) is important.
Side effects
- Rows array is empty or missing — returns error requiring at least 1 row
- minimum greater than maximum — may return empty filter result or validation error
- field value not in enum ['comment_count','resolved_comments'] — schema validation failure
- Rows exceed 200 item limit — rejected with maxItems error
- null values in comment_count or resolved_comments may affect weighted mean calculation
- malformed date strings not matching YYYY-MM-DD pattern — schema validation error
- row_id missing or exceeding 80 character limit — schema validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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