{"uid":"cap_UW-ltsanbERHxIATAbwEh","slug":"company-headcount-observations-record-quality-audit-deduplication-ed882fdc","name":"Company Headcount Observations — Record Quality Audit, Deduplication & Numeric Distribution","description":"Company headcount observations — Record quality audit + Exact row deduplication + Numeric distribution: Record quality audit + Exact row deduplication + Numeric distribution for supplied company headcount observations records (headcount, open_roles). 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-company-12-210?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},"field":{"enum":["headcount","open_roles"],"type":"string","default":"headcount"}}},"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_vDUEBMWaLXeM8SC_Hz9T7","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 (record quality audit, exact row deduplication, and numeric distribution) on up to 200 company headcount observation records without any external data lookups.","exampleAgentPrompt":"Can you run a full data quality audit, exact duplicate check, and numeric distribution report on my headcount dataset — here are up to 200 rows each with a row_id, company_group, date, headcount, and open_roles — and focus the distribution report on the headcount field?","exampleUseCases":[{"title":"Pre-analysis headcount data quality check","prompt":"I have 150 company headcount records with fields for row_id, company_group, date, headcount, and open_roles. Before I run any analysis, can you audit them for record quality issues, flag any exact duplicate rows, and show me the numeric distribution of the headcount field?"},{"title":"Deduplication before HR dashboard refresh","prompt":"We're refreshing our HR dashboard and I suspect there are duplicate headcount observations in our dataset. Can you run the deduplication and quality audit reports on these 200 rows — each has a row_id, company_group, date, headcount, and open_roles — so we can clean it up first?"},{"title":"Workforce open roles distribution profiling","prompt":"Can you profile the numeric distribution of open_roles across these company headcount observations — about 80 rows with row_id, company_group, date, headcount, and open_roles — and also flag any data quality or duplication issues while you're at it?"}],"resultDescription":"Three independent analytical reports on the submitted headcount records: (1) a record quality audit flagging missing, malformed, or out-of-range values; (2) an exact row deduplication report identifying fully identical rows; and (3) a numeric distribution summary for the selected field (headcount or open_roles), all computed locally without any external lookups.","failureModes":["Submitting more than 200 rows returns an error or truncated results","Missing required fields (row_id, company_group, date, headcount, open_roles) in any row causes validation failure","Invalid date format (non-YYYY-MM-DD) triggers schema rejection","Numeric values outside the allowed range cause field-level errors","Passing an invalid field enum value (anything other than 'headcount' or 'open_roles') causes a field selection error"],"whenToPreferThis":"Choose this endpoint when you need a fast, affordable ($0.01 USDC), all-in-one data quality pass on company headcount observation data — specifically when you want record quality auditing, duplicate detection, and numeric distribution profiling bundled together in a single call without hitting any external data sources or live systems. Best for pre-analysis data hygiene, ETL validation, or HR reporting pipelines with up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:07.283Z","isFirstParty":false,"canonicalSlug":"company-headcount-observations-record-quality-audit-deduplication-ed882fdc"}