{"uid":"cap_ODBdKZv5u9Z1bhrOZTNUr","slug":"company-headcount-observations-exact-row-deduplication-keyed-dataset-b4b01590","name":"Company Headcount Observations — Exact Row Deduplication + Keyed Dataset Comparison","description":"Company headcount observations — Exact row deduplication + Keyed dataset comparison: Exact row deduplication + Keyed dataset comparison for supplied company headcount observations records (headcount, open_roles). 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-12-053?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","headcount","open_roles"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"headcount":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"open_roles":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"company_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","headcount":10,"open_roles":1,"company_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","headcount":20,"open_roles":2,"company_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","headcount":15,"open_roles":3,"company_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","headcount":30,"open_roles":4,"company_group":"group-b"}],"maxItems":200,"minItems":1},"other":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","headcount","open_roles"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"headcount":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"open_roles":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"company_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","headcount":10,"open_roles":1,"company_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","headcount":21,"open_roles":2,"company_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","headcount":17,"open_roles":3,"company_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","headcount":33,"open_roles":4,"company_group":"group-b"}],"maxItems":200,"minItems":0}}},"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_lZoIkgdxSkVVdaGCsT-dz","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":"Deduplicates up to 200 company headcount observation rows and compares two datasets by key to surface differences in headcount and open_roles values.","exampleAgentPrompt":"I have two batches of company headcount observations — one current and one from last week — can you deduplicate each batch and tell me which rows changed in headcount or open_roles between them? Here are the rows arrays for both datasets.","exampleUseCases":[{"title":"Weekly headcount snapshot diff","prompt":"I pulled headcount data for all our company groups twice this week and want to see what changed. Can you deduplicate both batches and compare them row by row to highlight any differences in headcount or open_roles between the two snapshots?"},{"title":"Deduplicating HR data pipeline output","prompt":"Our HR pipeline is producing duplicate observation records for headcount and open roles — can you run exact row deduplication on this set of up to 200 rows grouped by company and date so I can see which rows are truly unique?"},{"title":"Audit two vendor headcount feeds","prompt":"We receive headcount data from two different vendors for the same company groups and dates. Can you compare both feeds side by side using keyed comparison on row_id to show me where they disagree on headcount or open_roles figures?"}],"resultDescription":"Returns two independent analytical reports: (1) an exact row deduplication report identifying unique vs duplicate rows across the supplied headcount observations, and (2) a keyed dataset comparison report highlighting differences in headcount and open_roles values between the two supplied datasets, matched by row_id and company_group.","failureModes":["Exceeds 200 row limit — request rejected or truncated","Missing required fields (row_id, company_group, date, headcount, open_roles) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Empty rows array — minimum 1 item required","Numeric values outside allowed range — rejected by schema","Malformed JSON payload — parse error"],"whenToPreferThis":"Choose this endpoint when you have company headcount observation data that needs both exact deduplication and a side-by-side keyed comparison between two datasets (e.g. two time periods, two vendor feeds, or before/after snapshots) in a single call, without needing live lookups, external enrichment, or predictive analytics. It is well-suited for lightweight data quality checks on workforce data pipelines at low cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:03.543Z","isFirstParty":false,"canonicalSlug":"company-headcount-observations-exact-row-deduplication-keyed-dataset-b4b01590"}