{"uid":"cap_SXOIw2ZXwiTKVnEiobZZI","slug":"company-headcount-observations-record-quality-audit-numeric-row-a2656e01","name":"Company Headcount Observations — Record Quality Audit + Numeric Row Ordering","description":"Company headcount observations — Record quality audit + Numeric row ordering: Record quality audit + Numeric row ordering 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-12-007?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_WYc2oMxOzN3xD894xMxiv","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 two offline analytical reports on company headcount data: a record quality audit and a numeric row ordering, for up to 200 rows across headcount and open_roles fields.","exampleAgentPrompt":"Can you audit the quality of these company headcount records and also give me a numeric ordering by headcount? I have up to 50 rows with fields like row_id, company_group, date, headcount, and open_roles.","exampleUseCases":[{"title":"HR data quality check before reporting","prompt":"I have a batch of 80 company headcount observations with dates, company groups, headcount counts, and open roles — can you run a record quality audit on them and flag any problematic rows before I include them in the quarterly workforce report?"},{"title":"Rank companies by open roles count","prompt":"I've got a dataset of headcount observations across several company groups and I want to numerically order the rows by open_roles so I can see which groups have the most vacancies — can you produce that ordered ranking?"},{"title":"Validate headcount data before ETL pipeline","prompt":"Before I load these 150 headcount observation records into our data warehouse, can you run a quality audit on them and also give me a numeric ordering by headcount so I can catch any data integrity issues early?"}],"resultDescription":"Returns two independent reports: (1) a record quality audit identifying data issues, missing values, or anomalies in the supplied headcount/open_roles rows, and (2) a numeric row ordering ranking the rows by the selected numeric field (headcount or open_roles). No external lookups or predictions are made — all analysis is performed locally on the supplied data.","failureModes":["Fewer than 1 or more than 200 rows supplied — request rejected","Missing required fields (row_id, company_group, date, headcount, open_roles) in any row — validation error","Date fields not matching YYYY-MM-DD pattern — schema validation failure","Invalid field enum value (must be 'headcount' or 'open_roles') — error response","All rows have null numeric values — ordering report may be empty or trivial"],"whenToPreferThis":"Choose this endpoint when you need two simultaneous offline analytical reports — a quality audit and a numeric ordering — on company headcount or open_roles data without any external lookups, live data, or predictions. It is ideal for pre-pipeline data validation and ranking of workforce observations across multiple company groups for up to 200 rows at a low flat cost of $0.01 USDC per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:33.838Z","isFirstParty":false,"canonicalSlug":"company-headcount-observations-record-quality-audit-numeric-row-a2656e01"}