{"uid":"cap_e4Ue1aX9oLctjdejLDBGK","slug":"company-record-completeness-exact-row-deduplication-adjacent-row-69fea22d","name":"Company Record Completeness — Exact Row Deduplication + Adjacent Row Changes","description":"Company record completeness — Exact row deduplication + Adjacent row changes: Exact row deduplication + Adjacent row changes for supplied company record completeness records (populated_fields, required_fields). 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-company-01-046?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","populated_fields","required_fields"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"company_group":{"type":"string","default":"","maxLength":80},"required_fields":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"populated_fields":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","required_fields":1,"populated_fields":10},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","required_fields":2,"populated_fields":20},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","required_fields":3,"populated_fields":15},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","required_fields":4,"populated_fields":30}],"maxItems":200,"minItems":1},"field":{"enum":["populated_fields","required_fields"],"type":"string","default":"populated_fields"}}},"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_3WrilJ8wYyFQZupT5tTHJ","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":"Performs exact row deduplication and adjacent row change analysis on company record completeness data (populated_fields, required_fields) for up to 200 rows, returning 2 independent analytical reports.","exampleAgentPrompt":"I have up to 200 rows of company record completeness data with row IDs, company groups, dates, populated_fields, and required_fields — can you run exact row deduplication and adjacent row change analysis on the populated_fields column and give me both reports?","exampleUseCases":[{"title":"Deduplicating CRM completeness audit logs","prompt":"I've got a set of company completeness records from our CRM audit — some rows might be exact duplicates. Can you deduplicate them and also show me where populated_fields changed between consecutive rows? Here are up to 200 rows with row_id, company_group, date, populated_fields, and required_fields."},{"title":"Tracking required_fields gaps over time","prompt":"I want to see if required_fields values changed between adjacent rows in my company completeness dataset, and also flag any exact duplicate entries. The dataset has about 150 rows grouped by company_group — please run the analysis on the required_fields column."},{"title":"Data quality pipeline validation for company groups","prompt":"Before we finalize our monthly data quality report, can you check our company record completeness rows for exact duplicates and identify adjacent row changes in populated_fields? We have around 80 rows across two company groups with dates and field counts."}],"resultDescription":"Two independent analytical reports: (1) an exact row deduplication report identifying which rows among the supplied records are exact duplicates, and (2) an adjacent row changes report showing where the selected field (populated_fields or required_fields) changed between consecutive rows — all computed locally with no external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required row fields (row_id, date, populated_fields, required_fields) — validation error","Invalid date format (must be YYYY-MM-DD) — schema validation failure","Field selector not one of ['populated_fields', 'required_fields'] — enum validation error","Empty rows array — minItems violation","populated_fields or required_fields values outside allowed numeric range — schema rejection"],"whenToPreferThis":"Choose this endpoint when you need to simultaneously deduplicate company record completeness rows AND detect adjacent row-level changes in a single cost-efficient call ($0.01 USDC for both reports). Prefer it over single-report endpoints when your dataset has up to 200 rows and you need both deduplication and change detection in one pass without any live data enrichment or external lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:25.855Z","isFirstParty":false,"canonicalSlug":"company-record-completeness-exact-row-deduplication-adjacent-row-69fea22d"}