{"uid":"cap_TcIiqUpwO1hAJ7TRfIovx","slug":"company-headcount-observations-record-quality-audit-exact-row-d36abefd","name":"Company Headcount Observations — Record Quality Audit, Exact Row Deduplication & Category Frequencies","description":"Company headcount observations — Record quality audit + Exact row deduplication + Category frequencies: Record quality audit + Exact row deduplication + Category frequencies 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-12-212?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}}},"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_wrllQQeyGAQwpX5PNxjbD","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":"Audits data quality, removes exact duplicate rows, and computes category frequencies for up to 200 company headcount observation records (headcount, open_roles fields).","exampleAgentPrompt":"Can you run a data quality audit, deduplicate exact rows, and give me category frequencies for these company headcount records I have — there are about 150 rows with headcount and open_roles columns across several company groups?","exampleUseCases":[{"title":"Pre-analysis headcount data cleanup","prompt":"I've got a CSV of company headcount observations with columns for date, company_group, headcount, and open_roles — about 120 rows total. Can you audit the record quality, flag any exact duplicate rows, and tell me how many observations fall into each company group?"},{"title":"Workforce data pipeline validation","prompt":"Before I load this batch of 80 headcount snapshots into our data warehouse, can you check them for data quality issues, remove any exact duplicates, and give me a frequency count by company group so I can verify the distribution looks right?"},{"title":"HR dataset deduplication and summary","prompt":"I pulled headcount and open_roles data from three different sources and combined them into about 200 rows, but I'm worried there are duplicates and bad records mixed in. Can you run a quality audit, deduplicate the exact matches, and break down how many records we have per company group?"}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging missing, null, or malformed values in the headcount and open_roles fields; (2) an exact row deduplication report identifying and removing identical records; and (3) a category frequency summary showing observation counts per company_group. All reports are computed locally on the supplied data with no external lookups.","failureModes":["Payload exceeds 200 rows — request will be rejected or truncated","Missing required fields (row_id, company_group, date, headcount, open_roles) cause validation errors","Malformed date strings not matching YYYY-MM-DD pattern result in validation failure","Empty rows array rejected (minimum 1 item required)","Non-numeric headcount or open_roles values outside allowed range cause schema rejection"],"whenToPreferThis":"Choose this endpoint when you need three simultaneous data-quality reports (quality audit + deduplication + category frequencies) on company headcount data in a single low-cost call. It is ideal for pre-pipeline validation, HR data hygiene checks, or exploratory dataset auditing where you do not need live lookups, predictions, or external enrichment — just fast, local analytical computation on your supplied rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:53.242Z","isFirstParty":false,"canonicalSlug":"company-headcount-observations-record-quality-audit-exact-row-d36abefd"}