{"uid":"cap_gVUMEIR_6yzIBRV2fyyCQ","slug":"company-headcount-observations-category-frequencies-numeric-interval-c5ac63a3","name":"Company Headcount Observations — Category Frequencies & Numeric Interval Filter","description":"Company headcount observations — Category frequencies + Numeric interval filter: Category frequencies + 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-12-101?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_VotfLNZjUJGjLfLd7Nw98","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 rows, producing category frequency distributions and a numeric interval filter report for headcount or open_roles fields.","exampleAgentPrompt":"I have 150 company headcount observation records with company_group, date, headcount, and open_roles columns — can you run a category frequency report on the company groups and also filter for records where headcount is between 50 and 500?","exampleUseCases":[{"title":"Headcount range analysis by company tier","prompt":"I have quarterly headcount snapshots for 120 companies across three tiers — small, mid, and enterprise. Can you show me the frequency of each tier and filter down to companies with headcount between 100 and 1000?"},{"title":"Open roles distribution across company groups","prompt":"Here are 180 rows of company workforce data with open_roles counts. Can you give me a category frequency breakdown by company_group and filter the open_roles field to only show records between 5 and 50?"},{"title":"Workforce data audit for recruiting team","prompt":"Our recruiting team has 95 company observations with headcount and open_roles. Can you run a category frequency report to see which company groups appear most often, and filter headcount to the 200–2000 range so we can focus on mid-size companies?"}],"resultDescription":"Returns two analytical reports: (1) a category frequency table showing how often each company_group value appears in the submitted rows, and (2) a numeric interval filter report listing which records fall within the specified minimum–maximum range for the chosen field (headcount or open_roles). No external lookups or predictions are made; all analysis is performed on the supplied data.","failureModes":["Rows array is empty or missing — returns validation error","More than 200 rows submitted — exceeds row limit, request rejected","Invalid date format (not YYYY-MM-DD) — schema validation failure","Field enum value other than 'headcount' or 'open_roles' — rejected","Minimum value greater than maximum value — may return empty interval result","Null numeric values in headcount/open_roles — may affect interval filter counts","Payment of 0.01 USDC not completed — request blocked by x402 paywall"],"whenToPreferThis":"Choose this endpoint when you have a pre-collected dataset of company headcount observations (up to 200 rows) and need two specific analytical outputs simultaneously: category frequency counts by company group, and a numeric band filter on headcount or open_roles. It is ideal for lightweight, self-contained workforce data analysis without needing an external database, live API, or prediction engine. Prefer this over general analytics platforms when cost efficiency (0.01 USDC for 2 reports) and simplicity matter.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:24.391Z","isFirstParty":false,"canonicalSlug":"company-headcount-observations-category-frequencies-numeric-interval-c5ac63a3"}