{"uid":"cap_UPHRGXYY-F_JCHQXsujZ-","slug":"company-headcount-observations-numeric-distribution-category-f5e52b04","name":"Company Headcount Observations — Numeric Distribution + Category Frequencies","description":"Company headcount observations — Numeric distribution + Category frequencies: Numeric distribution + Category frequencies 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-12-072?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__pXB9-23x4m5PblUyUT4N","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 local analytical reports (numeric distribution and category frequency) on up to 200 supplied company headcount observation rows, covering headcount and open_roles fields.","exampleAgentPrompt":"Can you analyze the distribution of headcount values and the frequency of company groups for these 50 company observation records I have — rows include row_id, company_group, date, headcount, and open_roles — and give me both a numeric distribution report and a category frequency breakdown?","exampleUseCases":[{"title":"Headcount spread analysis for HR reporting","prompt":"I have 120 company headcount observation records with fields like company_group, date, headcount, and open_roles. Can you run a numeric distribution on the headcount field and also show me how frequently each company_group appears across the dataset?"},{"title":"Open roles frequency audit across business units","prompt":"Take these 80 rows of company headcount data and give me the numeric distribution for open_roles plus a breakdown of how often each company_group shows up — I want to understand which groups have the most open role variance."},{"title":"Workforce data profiling before dashboard build","prompt":"Before I build my headcount dashboard I need to understand my data better — I have 150 company observation records. Can you compute the numeric distribution of headcount values and the category frequencies for company_group so I can see what I'm working with?"}],"resultDescription":"Two analytical reports computed locally from the supplied rows: (1) a numeric distribution report for the selected field (headcount or open_roles) including statistical spread metrics, and (2) category frequency counts for company_group, summarizing how often each category appears across up to 200 supplied rows.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — exceeds maximum batch size","Missing required fields (row_id, company_group, date, headcount, open_roles) in any row","Date field not matching YYYY-MM-DD pattern — validation error","Null values in numeric fields may affect distribution accuracy","Invalid field enum value (must be 'headcount' or 'open_roles')"],"whenToPreferThis":"Choose this endpoint when you have already gathered company headcount observation data locally and need offline statistical profiling — specifically numeric distribution and category frequency reports — without triggering any live lookup, external API call, or prediction. Best suited for batch analysis of up to 200 rows at $0.01 per call with two reports included.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:03.606Z","isFirstParty":false,"canonicalSlug":"company-headcount-observations-numeric-distribution-category-f5e52b04"}