{"uid":"cap_aPT1Ga2UDxM8tNZR2Bmgm","slug":"company-headcount-observations-record-quality-audit-numeric-interval-4cceabd0","name":"Company Headcount Observations — Record Quality Audit + Numeric Interval Filter","description":"Company headcount observations — Record quality audit + Numeric interval filter: Record quality audit + Numeric interval filter 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-12-008?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_2v3jB9foeAnWKMXNxjcJ0","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 up to 200 company headcount observation records for data quality issues and filters rows by a numeric interval on headcount or open_roles fields, returning two independent analytical reports.","exampleAgentPrompt":"Can you audit these 150 company headcount observation rows for quality issues and also flag any rows where headcount falls outside the range of 10 to 500? The rows include fields like row_id, company_group, date, headcount, and open_roles.","exampleUseCases":[{"title":"Pre-pipeline workforce data validation","prompt":"I have 80 headcount observation records across several company groups and I need to check them for record quality problems and also filter out any rows where open_roles is outside 0 to 50 before I load them into our analytics pipeline."},{"title":"Identifying implausible headcount entries","prompt":"Can you run a quality audit on these 200 company headcount rows and flag any where the headcount value is outside the range 5 to 100000? I want to catch obvious data entry errors before our quarterly report."},{"title":"Spotting anomalies in open roles data","prompt":"We just exported our open roles observations for Q4 — can you audit the data quality and also filter for rows where open_roles is between 1 and 200 so I can see which records are in a sensible range?"}],"resultDescription":"Returns two independent reports: (1) a record quality audit identifying issues such as missing values, malformed dates, or constraint violations across all submitted rows; and (2) a numeric interval filter report listing which rows have the selected field (headcount or open_roles) within the specified minimum–maximum range. Both reports cover up to 200 rows and are produced using local analytical engines with no external lookups.","failureModes":["Submitting more than 200 rows returns an error or truncates input","Missing required row fields (row_id, company_group, date, headcount, open_roles) causes validation rejection","Dates not matching YYYY-MM-DD pattern are flagged or rejected","minimum greater than maximum may produce an empty filter result or error","Non-numeric values in headcount or open_roles fields may cause processing errors","Empty rows array rejected due to minItems:1 constraint"],"whenToPreferThis":"Choose this endpoint when you need both a data quality audit and a numeric range filter on company headcount or open_roles data in a single call, without needing live data lookups, predictions, or external integrations. It is ideal for pre-pipeline data validation, QA checks on HR exports, or identifying out-of-range workforce metrics across up to 200 records at very low cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:06.990Z","isFirstParty":false,"canonicalSlug":"company-headcount-observations-record-quality-audit-numeric-interval-4cceabd0"}