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Document Redaction Review — Record Quality Audit + String Normalisation + Equal-Width Histogram
x402
Document Redaction Review — Record Quality Audit + String Normalisation + Equal-Width Histogram 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).
Runs three local analytical reports (record quality audit, string normalisation, and equal-width histogram) on up to 200 document redaction review records containing flagged and reviewed span counts.
Price / call$0.01
Success—
StatusUnknown
How this service works
Document redaction review — Record quality audit + String normalisation + Equal-width histogram: Record quality audit + String normalisation + Equal-width histogram for supplied document redaction review records (flagged_spans, reviewed_spans). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent analytical reports for the submitted redaction review rows: (1) a record quality audit identifying missing, null, or out-of-range values; (2) a string normalisation report cleaning and standardising string fields like document_group; and (3) an equal-width histogram report distributing the chosen numeric field (flagged_spans or reviewed_spans) across the specified number of bins.
Example use cases
Redaction pipeline data quality check
“I have 120 rows of document redaction review records with flagged_spans and reviewed_spans — can you audit them for quality issues, normalise the string fields, and give me a 5-bin histogram on flagged_spans so I can spot any data problems before we process them?”
Compliance team span distribution analysis
“Our compliance team needs a histogram with 8 bins on the reviewed_spans field from our 80-row redaction review dataset, plus a record quality audit and string normalisation report — can you run all three reports at once?”
Redaction review batch profiling
“I've got a batch of 200 document redaction records across two document groups, group-alpha and group-beta, and I need a full data profile: quality audit, string normalisation, and a 15-bin equal-width histogram on flagged_spans — please generate all three reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-14-202?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three complementary data profiling reports (quality audit, string normalisation, histogram) on a batch of document redaction review records in a single call at low cost. It is ideal for pre-processing pipelines where redaction span data needs to be validated and profiled before downstream use, and when external lookup, live prediction, or professional assessment is not required.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, document_group, date, flagged_spans, reviewed_spans) causes row-level rejection
- Invalid date format (not YYYY-MM-DD) triggers a schema validation failure
- bins value outside 1–30 range returns a parameter error
- All-null numeric field produces an empty or degenerate histogram
- Payment failure via x402 prevents endpoint access
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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