{"uid":"cap_6PmdF0eKRdoys937uWhkF","slug":"company-headcount-observations-grouped-numeric-summary-category-130eafea","name":"Company Headcount Observations — Grouped Numeric Summary & Category Frequencies","description":"Company headcount observations — Grouped numeric summary + Category frequencies: Grouped numeric summary + 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-12-086?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_E2G-VqSp_7qoLwV4W3nHo","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":"Analyzes up to 200 company headcount observation records, producing a grouped numeric summary and category frequency report for headcount or open_roles fields.","exampleAgentPrompt":"I have a dataset of company headcount observations with up to 200 rows — each with a row_id, company_group, date, headcount, and open_roles — can you give me a grouped numeric summary and category frequency breakdown for the headcount field across all company groups?","exampleUseCases":[{"title":"Workforce growth analysis by division","prompt":"I've collected quarterly headcount observations for our three business units over the past year — can you group and summarize the headcount numbers by company_group and give me the frequency distribution so I can see which divisions are growing fastest?"},{"title":"Open roles distribution across portfolio companies","prompt":"We have 150 rows of headcount data for our portfolio companies, each tagged with a company_group. Can you run a grouped numeric summary and category frequency report on the open_roles field so we can identify which groups have the most hiring pressure?"},{"title":"Benchmarking headcount data snapshot","prompt":"Here are 80 headcount observation records from our industry benchmark survey, grouped by company_group and dated last quarter — please produce a grouped numeric summary and category frequency breakdown for the headcount field so we can compare cohorts."}],"resultDescription":"Returns two analytical reports sharing local computation: (1) a grouped numeric summary (e.g. min, max, mean, median, count per company_group) and (2) category frequencies for the selected numeric field (headcount or open_roles) across up to 200 supplied rows. No external data is fetched; all analysis is performed on the provided records.","failureModes":["Fewer than 1 row provided — minimum row count not met","More than 200 rows submitted — exceeds maximum batch size","Missing required fields (row_id, company_group, date, headcount, or open_roles) on any row","Date field does not match YYYY-MM-DD format — pattern validation failure","Numeric field values outside allowed range (±1 trillion)","Invalid field selector — must be 'headcount' or 'open_roles'","Payment not included or insufficient — endpoint requires $0.01 USDC via x402 protocol"],"whenToPreferThis":"Choose this endpoint when you have a batch of up to 200 company headcount observation records already in hand and need quick grouped statistics and category frequency distributions without any live data lookup, external enrichment, or prediction. It is well-suited for offline batch analysis of workforce snapshots, HR dashboards, and portfolio benchmarking where the data is supplied by the caller. It covers two report types in a single $0.01 call, making it cost-efficient for paired numeric summary and frequency use cases.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:44:56.591Z","isFirstParty":false,"canonicalSlug":"company-headcount-observations-grouped-numeric-summary-category-130eafea"}