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Peer Feedback String Normalisation + Date by Category Pivot
x402
Peer Feedback String Normalisation + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).
Normalises strings and produces a date-by-category pivot table from peer feedback records containing review counts and actioned comments (up to 200 rows, 2 reports per call).
Price / call$0.01
Success—
StatusUnknown
How this service works
Peer feedback — String normalisation + Date by category pivot: String normalisation + Date by category pivot for supplied peer feedback records (review_count, actioned_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) a string-normalised version of the supplied peer feedback records, and (2) a date-by-category pivot table for the selected numeric field (review_count or actioned_comments) broken down by course_group and date. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Course review volume trends by group
“I have 150 rows of peer feedback from our LMS with fields row_id, course_group, date, review_count, and actioned_comments — can you normalize the strings and pivot review_count by course group and date so I can see which groups had the most reviews each day?”
Actioned comments audit across cohorts
“Please process my peer feedback dataset (about 80 rows, with course_group, date, review_count, and actioned_comments) and give me a string-normalised report plus a date-by-category pivot on actioned_comments so I can track which cohorts are acting on feedback over time.”
Education program feedback cleanup and summary
“I've collected peer feedback records from three course groups over the past month — can you normalize the text fields and pivot the review_count data by course_group and date? There are around 60 rows total with the standard row_id, course_group, date, review_count, and actioned_comments fields.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-23-035?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured peer feedback data (up to 200 rows) from an education or course context and need both string normalisation and a date-by-category pivot in a single low-cost call ($0.01 USDC for both reports). It is ideal for offline/batch analytical processing of course review data where no live prediction, external lookup, or professional assessment is needed. Prefer alternatives if you need more than 200 rows, real-time enrichment, or different analytical transforms (e.g. histograms, outlier detection, or correlation).
Side effects
- More than 200 rows submitted — request exceeds maxItems limit and will be rejected
- Missing required fields (row_id, course_group, date, review_count, or actioned_comments) causes validation failure
- Invalid date format (not YYYY-MM-DD) causes schema validation error
- Invalid field enum value (not review_count or actioned_comments) causes rejection
- Payment not included or insufficient USDC causes 402 Payment Required response
- All-null numeric values may produce empty or degenerate pivot output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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