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Editorial Review Analytics — Numeric Row Ordering + Trailing Mean Series
x402
Editorial Review Analytics — Numeric Row Ordering + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Sorts editorial review records by numeric value and computes a trailing moving average over comment_count or resolved_comments for up to 200 rows, returning two bundled analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Editorial review — Numeric row ordering + Trailing mean series: Numeric row ordering + Trailing mean series 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
Two analytical reports: (1) the input rows reordered by the selected numeric field (comment_count or resolved_comments) in ranked order, and (2) a trailing moving average series computed over the selected field using the specified window size, for up to 200 input rows.
Example use cases
Track comment resolution trends over time
“I have 50 daily editorial review records with comment_count and resolved_comments — can you rank them by resolved_comments and compute a 5-day trailing mean so I can see if our resolution rate is improving?”
Identify highest-comment document groups
“Sort these 30 editorial review rows by comment_count and give me a trailing mean series with a window of 4 so I can spot which document groups are consistently generating the most comments.”
Smooth noisy comment volume data
“My editorial team logged comment counts for 80 review sessions — can you order them numerically by comment_count and compute a 7-period moving average to smooth out the noise?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-03-115?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two bundled offline analytical reports — numeric row ordering and a trailing moving average — on editorial review data (comment_count, resolved_comments) without requiring any live lookup, external data, or prediction. It is cost-effective at $0.01 for both reports on up to 200 rows and is ideal for batch summarization of editorial workflow data.
Side effects
- Fewer than 1 row submitted returns a validation error
- Window size larger than the number of rows may produce sparse or empty trailing mean output
- Missing required row fields (row_id, date, comment_count, resolved_comments) cause schema validation failure
- More than 200 rows submitted exceeds the limit and is rejected
- Invalid date format (not YYYY-MM-DD) causes a parsing error
- Null values in the selected numeric field may reduce usable rows in the mean series
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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