{"uid":"cap_dhq-MVMdmNc_hFCb-mLwy","slug":"document-section-coverage-string-normalisation-exact-row-deduplication-f17cdc38","name":"Document Section Coverage — String Normalisation + Exact Row Deduplication","description":"Document section coverage — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication for supplied document section coverage records (present_sections, required_sections). 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-01-020?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","document_group","date","present_sections","required_sections"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"document_group":{"type":"string","default":"","maxLength":80},"present_sections":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"required_sections":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","document_group":"group-a","present_sections":10,"required_sections":1},{"date":"2026-10-02","row_id":"row-2","document_group":"group-b","present_sections":20,"required_sections":2},{"date":"2026-10-03","row_id":"row-3","document_group":"group-a","present_sections":15,"required_sections":3},{"date":"2026-10-04","row_id":"row-4","document_group":"group-b","present_sections":30,"required_sections":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_e_sJp7mM9ed4hUV4VZe9r","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 deduplicates rows in document section coverage records, producing two analytical reports on present vs. required section counts for up to 200 rows.","exampleAgentPrompt":"Can you clean up these document section coverage records — normalize the strings and remove any exact duplicate rows? I have up to 200 rows, each with a row_id, document_group, date, present_sections count, and required_sections count, and I need two reports back.","exampleUseCases":[{"title":"Compliance document audit deduplication","prompt":"I have a batch of compliance document records with present_sections and required_sections counts across different document groups. Can you normalize the text fields and strip out any exact duplicate rows so I get a clean deduplicated report?"},{"title":"Content coverage QA pipeline","prompt":"Before I run my analysis, can you normalize and deduplicate these 150 document section coverage rows? Each row has a row_id, document_group, date, and counts for present and required sections — I need the two standard reports back."},{"title":"Multi-group document tracking cleanup","prompt":"I'm tracking section completeness across group-a and group-b documents for October 2026. Can you run string normalisation and exact row deduplication on my coverage records and give me the two analytical reports?"}],"resultDescription":"Two analytical reports: one covering string normalisation results and one covering exact row deduplication findings across the submitted document section coverage records (up to 200 rows), based entirely on the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected with validation error","Missing required fields (row_id, date, present_sections, required_sections) — row rejected or error returned","Date field not matching YYYY-MM-DD pattern — validation error","present_sections or required_sections values outside allowed numeric range — validation error","Empty rows array — error returned"],"whenToPreferThis":"Choose this endpoint when you need lightweight, offline string normalisation and exact duplicate removal on document section coverage datasets (up to 200 rows) without any live data lookups or external integrations. It is ideal for preprocessing document completeness records before downstream analysis, or for quick data quality audits on present/required section counts across document groups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:50:23.870Z","isFirstParty":false,"canonicalSlug":"document-section-coverage-string-normalisation-exact-row-deduplication-f17cdc38"}