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Editorial Review Base-100 Series + Two-Measure Correlation
x402
Editorial Review Base-100 Series + 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 2026-10-23).
Computes a base-100 indexed time series and Pearson correlation between comment_count and resolved_comments for up to 200 editorial review records
Price / call$0.01
Success—
StatusUnknown
How this service works
Editorial review — Base-100 series + Two-measure correlation: Base-100 series + Two-measure correlation 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) a base-100 indexed series for the specified field (comment_count or resolved_comments) anchored to the chosen base_index row, showing relative change over time; and (2) a Pearson or equivalent correlation coefficient between comment_count and resolved_comments across all supplied rows. Results are computed locally with no external lookups.
Example use cases
Tracking comment resolution trends over time
“I have weekly editorial review records for the past month across two document groups — can you index the comment_count to base-100 starting from week 1 and also tell me how strongly comment_count and resolved_comments are correlated?”
Editorial workflow efficiency analysis
“Here are 50 rows of editorial review data with dates, comment counts, and resolved comment counts for our document groups. Run a base-100 series on resolved_comments starting from index 0 and compute the correlation between comment_count and resolved_comments so I can see if our resolution rate tracks with volume.”
Comparing document group review activity
“I want to understand the review dynamics in group-a versus group-b. Can you take my editorial records — each has a date, comment_count, and resolved_comments — and produce a base-100 indexed series plus the two-measure correlation between those two fields?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-03-165?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a base-100 normalized time series AND a two-measure correlation for editorial review data (comment_count vs resolved_comments) in a single $0.01 call covering up to 200 rows. Prefer it over generic stats services when your data is already structured with document_group, date, row_id fields and you want two coordinated analytical outputs without any external data lookup or prediction.
Side effects
- Rows array empty or missing — validation error returned
- More than 200 rows supplied — request rejected with schema violation
- base_index out of range (>=number of rows) — index error
- Null values in comment_count or resolved_comments may affect correlation calculation
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Missing required fields (row_id, document_group, date) cause row-level validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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