{"uid":"cap_lDYEFWapsKZizMgL6wKma","slug":"contact-record-quality-keyed-dataset-comparison-explicit-missing-9882be85","name":"Contact Record Quality — Keyed Dataset Comparison + Explicit Missing-Value Fill","description":"Contact record quality — Keyed dataset comparison + Explicit missing-value fill: Keyed dataset comparison + Explicit missing-value fill for supplied contact record quality records (checked_records, duplicate_records). 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-03-190?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","checked_records","duplicate_records"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"company_group":{"type":"string","default":"","maxLength":80},"checked_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"duplicate_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","checked_records":10,"duplicate_records":1},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","checked_records":20,"duplicate_records":2},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","checked_records":15,"duplicate_records":3},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","checked_records":30,"duplicate_records":4}],"maxItems":200,"minItems":1},"field":{"enum":["checked_records","duplicate_records"],"type":"string","default":"checked_records"},"other":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","checked_records","duplicate_records"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"company_group":{"type":"string","default":"","maxLength":80},"checked_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"duplicate_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","checked_records":10,"duplicate_records":1},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","checked_records":21,"duplicate_records":2},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","checked_records":17,"duplicate_records":3},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","checked_records":33,"duplicate_records":4}],"maxItems":200,"minItems":0},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_p7MbRUMdJnsv6MFHnoJ3_","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":"Compares two contact record quality datasets by key and fills in missing values for checked_records and duplicate_records fields across up to 200 rows, producing 2 analytical reports.","exampleAgentPrompt":"Compare these two sets of contact record quality data — each up to 200 rows with checked_records and duplicate_records per company group and date — and fill in any missing values, then give me 2 comparison reports highlighting differences and gaps for the checked_records field.","exampleUseCases":[{"title":"Monthly deduplication audit across company groups","prompt":"I have two snapshots of our contact deduplication data for October 2026 — one from our CRM export and one from our data warehouse — each with checked_records and duplicate_records by company group and date. Can you compare them row by row and fill in any missing values, focusing on the duplicate_records field? I need 2 reports showing where the numbers diverge."},{"title":"Reconciling contact quality between data pipelines","prompt":"Our ETL pipeline and our manual QA process both produce contact quality counts — checked_records and duplicate_records — for group-a and group-b across about 150 rows of dates. Run a keyed comparison between the two datasets on the checked_records field and patch any nulls so I can see where they disagree."},{"title":"Filling null contact metrics before dashboard refresh","prompt":"Before I refresh our contact quality dashboard, I need to fill in the missing checked_records and duplicate_records values in two versions of our dataset — about 80 rows each — and get a side-by-side comparison report for the checked_records field to see which rows changed between the two versions."}],"resultDescription":"Returns 2 structured analytical reports: one keyed dataset comparison showing row-by-row differences between the primary and secondary contact record quality datasets, and one explicit missing-value fill report patching nulls in the selected field (checked_records or duplicate_records). No external lookups or predictions are made; all analysis uses the supplied data only.","failureModes":["Row count exceeds 200 items — request rejected","Missing required fields (row_id, company_group, date, checked_records, duplicate_records) — validation error","Invalid date format not matching YYYY-MM-DD pattern — schema rejection","Field selector not one of checked_records or duplicate_records — enum validation failure","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — validation error","Empty rows array — minItems constraint violation"],"whenToPreferThis":"Choose this endpoint when you have two structured contact record quality datasets (with checked_records and duplicate_records fields) and need both a keyed row-by-row comparison and explicit null/missing-value filling in a single low-cost call. Ideal for data reconciliation tasks between CRM exports, ETL outputs, or QA snapshots where no live external lookup or prediction is needed — just local analytical computation on supplied data up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T06:43:07.255Z","isFirstParty":false,"canonicalSlug":"contact-record-quality-keyed-dataset-comparison-explicit-missing-9882be85"}