{"uid":"cap_thQiEcNP7Hv99rTw3XqhJ","slug":"company-headcount-observations-numeric-distribution-numeric-interval-7921672f","name":"Company Headcount Observations — Numeric Distribution + Numeric Interval Filter","description":"Company headcount observations — Numeric distribution + Numeric interval filter: Numeric distribution + 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-12-074?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_4dL-bxhY2RHC-vnLlImK3","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":"Computes a numeric distribution report and a numeric interval filter report for company headcount and open roles data, analyzing up to 200 rows in two independent analytical reports.","exampleAgentPrompt":"Analyze my company headcount observations — I have up to 200 rows with fields company_group, date, headcount, and open_roles. Run the numeric distribution and interval filter reports on the headcount field, filtering for values between 10 and 500.","exampleUseCases":[{"title":"Workforce size distribution analysis","prompt":"I have 150 rows of company headcount data by group and date. Can you run a numeric distribution report on the headcount field and also filter to only show records where headcount is between 50 and 300?"},{"title":"Open roles range filtering for hiring audit","prompt":"Run the numeric distribution and interval filter reports on my open_roles data — I want to see the distribution and isolate rows where open_roles falls between 0 and 20. Here are my 80 company observation rows."},{"title":"Multi-group headcount spread comparison","prompt":"I've got headcount observations for group-a and group-b across Q4. Can you compute the numeric distribution of headcount values and filter for records between 100 and 1000 employees so I can see where each group sits?"}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution showing the spread and frequency breakdown of the selected field (headcount or open_roles) across all supplied rows, and (2) an interval-filtered result set containing only the rows where the selected field falls within the specified minimum and maximum bounds. Both reports operate on the same supplied dataset of up to 200 rows using local analytical engines.","failureModes":["Rows exceeding 200 items will be rejected or truncated","Missing required fields (row_id, company_group, date, headcount, open_roles) will cause validation errors","Null values in the selected numeric field may affect distribution accuracy","Invalid date format (not YYYY-MM-DD) will fail schema validation","Minimum value greater than maximum value produces an empty interval filter result","Non-numeric values in headcount or open_roles fields will fail schema constraints"],"whenToPreferThis":"Choose this endpoint when you have pre-collected company headcount or open roles observations (up to 200 rows) and need both a numeric distribution summary and a range-filtered subset in a single API call. It is ideal for offline or batch HR analytics workflows where no live data lookup or external data enrichment is needed — only local statistical computation on your supplied data. Prefer this over general-purpose analytics tools when you want a cost-efficient ($0.01 USDC for two reports) structured analysis specifically tailored to workforce headcount metrics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:44.922Z","isFirstParty":false,"canonicalSlug":"company-headcount-observations-numeric-distribution-numeric-interval-7921672f"}