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Document Redaction Review — String Normalisation + Trailing Mean Series
x402
Document Redaction Review — String Normalisation + 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 2026-10-30).
Computes string normalisation and trailing mean series analytics on document redaction review data (flagged spans and reviewed spans) for up to 200 rows, returning 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Document redaction review — String normalisation + Trailing mean series: String normalisation + Trailing mean series for supplied document redaction review records (flagged_spans, reviewed_spans). 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 analytical reports for the supplied dataset: (1) a string normalisation report applied to the document redaction review records, and (2) a trailing mean series computed over the selected numeric field (flagged_spans or reviewed_spans) using the specified sliding window size. Results are computed locally from submitted data with no external lookups.
Example use cases
Redaction audit trend smoothing
“I have a CSV of daily redaction review records with flagged_spans and reviewed_spans per document group over the past quarter. Can you compute the trailing mean of flagged_spans with a window of 5 so I can spot smoothed trends in our redaction workload?”
Document group label normalisation
“Our redaction review database has inconsistent document_group names — can you run string normalisation on my reviewed_spans data across these 150 rows so we get clean, standardised group labels in the report?”
Compliance review span analytics
“For our compliance audit, I need two reports on this redaction data: string normalisation and a trailing mean series for reviewed_spans with a window size of 4. Here are my 80 rows with row_id, document_group, date, flagged_spans, and reviewed_spans.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-14-028?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have document redaction review records and need both string normalisation and trailing moving average analytics delivered together in a single low-cost call. It is ideal for compliance teams and document review pipelines that want lightweight, locally-computed statistical summaries without any external data lookups or professional assessments. Best suited for batch sizes up to 200 rows at a time.
Side effects
- Fewer than 1 row submitted returns a validation error
- Window size exceeds number of rows causes trailing mean to produce partial or empty series
- Missing required fields (row_id, document_group, date, flagged_spans, reviewed_spans) cause schema validation failure
- Numeric values outside the allowed range (±1,000,000,000,000) are rejected
- More than 200 rows submitted is rejected due to maxItems constraint
- Invalid date format (not YYYY-MM-DD) causes pattern validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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