{"uid":"cap_aOsfEwnk0bdegOwPF44KG","slug":"document-redaction-review-string-normalisation-numeric-row-ordering-e40a9560","name":"Document Redaction Review — String Normalisation + Numeric Row Ordering","description":"Document redaction review — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering 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.","url":"https://market.datapackvibe.com/x402/assistant-ib26-writing-14-025?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","document_group","date","flagged_spans","reviewed_spans"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"flagged_spans":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"document_group":{"type":"string","default":"","maxLength":80},"reviewed_spans":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","flagged_spans":10,"document_group":"group-a","reviewed_spans":1},{"date":"2026-10-02","row_id":"row-2","flagged_spans":20,"document_group":"group-b","reviewed_spans":2},{"date":"2026-10-03","row_id":"row-3","flagged_spans":15,"document_group":"group-a","reviewed_spans":3},{"date":"2026-10-04","row_id":"row-4","flagged_spans":30,"document_group":"group-b","reviewed_spans":4}],"maxItems":200,"minItems":1},"field":{"enum":["flagged_spans","reviewed_spans"],"type":"string","default":"flagged_spans"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_oozK3FEHHz9rsjf6VyijI","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Normalises string fields and orders rows numerically for document redaction review records containing flagged and reviewed span counts, producing two analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you run string normalisation and numeric row ordering on my document redaction review records? I have 4 rows with flagged_spans of 10, 20, 15, and 30 for groups group-a and group-b dated from 2026-10-01 to 2026-10-04, and I want to order by flagged_spans.","exampleUseCases":[{"title":"Compliance redaction audit normalisation","prompt":"I have a batch of 50 document redaction review records with document_group names that need string normalisation and I want the rows ordered by flagged_spans — can you run the two-report analysis on them?"},{"title":"Legal document span ranking","prompt":"I need to rank my reviewed_spans data across 120 rows of redaction records by numeric order and also get the string fields normalised — please run both analytical reports on this dataset using reviewed_spans as the ordering field."},{"title":"Redaction quality review across groups","prompt":"Can you process these 30 redaction review rows covering document groups like 'group-alpha' and 'group-beta', normalise the string fields, and order everything by flagged_spans so I can see which groups have the highest redaction activity?"}],"resultDescription":"Returns two analytical reports: one applying string normalisation to the document_group and related string fields across the submitted rows, and one ordering the rows numerically by the selected field (flagged_spans or reviewed_spans). Results are derived solely from the supplied data with no external lookups or predictions, covering up to 200 input rows.","failureModes":["More than 200 rows submitted — request will be rejected at schema validation","Invalid date format (must match YYYY-MM-DD pattern) causes row-level validation failure","Missing required fields (row_id, document_group, date, flagged_spans, reviewed_spans) result in schema rejection","Numeric values outside the allowed range (±1,000,000,000,000) will fail validation","Empty rows array (minItems:1 not met) returns error","Invalid field enum value (not flagged_spans or reviewed_spans) causes parameter rejection"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local analytical processing of document redaction review datasets — specifically string normalisation of categorical fields like document_group and numeric ordering of span count columns — without requiring any live data lookup, ML prediction, or external service call. It is ideal for compliance teams or document review pipelines that need clean, ordered redaction records at low cost ($0.01 USDC for two reports on up to 200 rows).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:38:55.392Z","isFirstParty":false,"canonicalSlug":"document-redaction-review-string-normalisation-numeric-row-ordering-e40a9560"}