{"uid":"cap_GifuRBXWa-EW_Pt5S84TZ","slug":"document-redaction-review-string-normalisation-exact-row-deduplication-d626ab94","name":"Document Redaction Review — String Normalisation + Exact Row Deduplication","description":"Document redaction review — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication 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-14-020?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}}},"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_dNI0lqD7PvP2zppgQTFO1","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 strings and removes exact duplicate rows from document redaction review records containing flagged and reviewed span counts, producing 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you run string normalisation and exact row deduplication on my document redaction review records? I have 4 rows: row-1 on 2026-10-01 with group-a, 10 flagged spans and 1 reviewed span; row-2 on 2026-10-02 with group-b, 20 flagged and 2 reviewed; row-3 on 2026-10-03 with group-a, 15 flagged and 3 reviewed; row-4 on 2026-10-04 with group-b, 30 flagged and 4 reviewed — and give me the 2 analytical reports.","exampleUseCases":[{"title":"Deduplicating redaction audit logs","prompt":"I've got a batch of document redaction review records across two groups — some rows might be duplicates. Can you run exact row deduplication and string normalisation on these 8 entries and give me the 2 cleaned-up analytical reports?"},{"title":"Cleaning multi-group span data","prompt":"Before I pass these redaction review records into our compliance dashboard, can you normalise the string fields and strip out any exact duplicate rows? I have 50 rows covering flagged_spans and reviewed_spans across multiple document groups dated from 2026-09-01 to 2026-09-30."},{"title":"Quality check on redaction review pipeline","prompt":"Our redaction review pipeline output 120 rows with flagged and reviewed span counts — can you run the string normalisation and exact deduplication on them and produce the two analytical reports so I can see what's clean?"}],"resultDescription":"Returns 2 independent analytical reports based on the supplied redaction review records, after applying string normalisation and exact row deduplication. Reports reflect the cleaned dataset with duplicate rows removed and string fields standardised, using local analytical engines with no external lookups or predictions.","failureModes":["Rows array is empty or missing — minimum 1 row required","More than 200 rows submitted — exceeds maximum batch size","Invalid date format (must match YYYY-MM-DD pattern)","row_id missing or empty string — required field","flagged_spans or reviewed_spans outside allowed numeric range (±1,000,000,000,000)","Malformed JSON body — schema validation failure"],"whenToPreferThis":"Choose this endpoint when you need fast, local string normalisation and exact duplicate row removal specifically on document redaction review data (flagged_spans, reviewed_spans) and want 2 analytical reports in a single low-cost call. It is best suited for batch pre-processing of up to 200 rows before downstream analysis, without needing live lookups, ML predictions, or external integrations.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:36:15.404Z","isFirstParty":false,"canonicalSlug":"document-redaction-review-string-normalisation-exact-row-deduplication-d626ab94"}