{"uid":"cap_SBdzK6RaPTi0uPGC3kD72","slug":"document-section-coverage-analyzer-quality-audit-deduplication-row-7919deba","name":"Document Section Coverage Analyzer — Quality Audit, Deduplication & Row Ordering","description":"Document section coverage — Record quality audit + Exact row deduplication + Numeric row ordering: Record quality audit + Exact row deduplication + Numeric row ordering for supplied document section coverage records (present_sections, required_sections). 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.","url":"https://market.datapackvibe.com/x402/assistant-ib26-writing-01-213?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},"field":{"enum":["present_sections","required_sections"],"type":"string","default":"present_sections"}}},"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_RMZXpH6M53XrPbCqB_S2W","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":"Runs three analytical reports on document section coverage records: a record quality audit, exact row deduplication, and numeric row ordering — all processed locally without external lookups.","exampleAgentPrompt":"Can you audit these document section coverage records for quality issues, exact duplicates, and sort them numerically by present_sections? I have 4 rows: row-1 group-a 2026-10-01 present=10 required=1, row-2 group-b 2026-10-02 present=20 required=2, row-3 group-a 2026-10-03 present=15 required=3, row-4 group-b 2026-10-04 present=30 required=4.","exampleUseCases":[{"title":"Compliance gap detection across document groups","prompt":"I have a list of document groups with their present and required section counts — can you run a quality audit on those records to flag any bad data, remove exact duplicates, and order them by required_sections so I can see which groups are furthest from compliance?"},{"title":"Deduplicating section coverage submissions","prompt":"Our intake form keeps producing duplicate document section coverage entries. Can you take these 50 rows with row IDs, dates, document groups, and section counts and run deduplication plus a quality audit so I know which entries to trust?"},{"title":"Ordering sections by coverage count for reporting","prompt":"I need to prepare a report ranking document groups by how many sections are present — can you take my coverage dataset of about 80 rows and run numeric row ordering on the present_sections field, along with a quick quality audit to catch any nulls or bad values?"}],"resultDescription":"Returns three independent analytical reports for up to 200 input rows: (1) a record quality audit flagging data issues such as nulls, out-of-range values, or malformed entries; (2) an exact row deduplication report identifying and removing duplicate records; (3) a numerically ordered version of the rows sorted by the selected numeric field (present_sections or required_sections). All processing is done locally with no external data access.","failureModes":["More than 200 rows submitted — request rejected due to row limit","Missing required fields (row_id, date, present_sections, required_sections) — validation error","Date not in YYYY-MM-DD format — pattern validation failure","row_id exceeds 80 characters or is empty — schema rejection","present_sections or required_sections outside allowed numeric range — rejected","Empty rows array — minItems:1 constraint violation","Invalid field enum value — must be 'present_sections' or 'required_sections'","Payment not included or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you need to simultaneously audit data quality, remove duplicates, and sort document section coverage records in a single low-cost call. It is purpose-built for the present_sections/required_sections domain and processes up to 200 rows at $0.01 USDC for all three reports. Prefer it over general-purpose data tools when your records conform to the document_group + date + section count schema and you want fast, local processing without external API dependencies or live lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:32:50.795Z","isFirstParty":false,"canonicalSlug":"document-section-coverage-analyzer-quality-audit-deduplication-row-7919deba"}