{"uid":"cap_TUxLBBYp1dSpA3GemVsf5","slug":"company-headcount-observations-grouped-summary-correlation-analysis-8675e02b","name":"Company Headcount Observations — Grouped Summary & Correlation Analysis","description":"Company headcount observations — Grouped numeric summary + Two-measure correlation: Grouped numeric summary + Two-measure correlation 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-12-095?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_6j2GsIKTjTmaxMdcRzyWB","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 on company headcount data: a grouped numeric summary by company group and a two-measure correlation between headcount and open roles, for up to 200 rows.","exampleAgentPrompt":"Can you analyze these company headcount records — I have up to 200 rows with company_group, date, headcount, and open_roles — and give me a grouped numeric summary by company group plus a correlation between headcount and open_roles?","exampleUseCases":[{"title":"Workforce growth analysis by division","prompt":"I have 150 rows of headcount observations across our three business divisions over the past year — can you give me a grouped summary of headcount per division and tell me how strongly open_roles correlates with headcount?"},{"title":"Hiring pressure vs team size correlation","prompt":"We're trying to understand if larger teams post more open roles proportionally. Can you run a correlation between headcount and open_roles on these 80 company records and also group the summary by company_group?"},{"title":"Multi-company headcount benchmarking","prompt":"I've got headcount and open_roles data for 5 portfolio companies from the last quarter — can you summarize the numbers grouped by company and compute the correlation between headcount and open_roles for me?"}],"resultDescription":"Returns two analytical reports: (1) a grouped numeric summary aggregating headcount and open_roles statistics broken down by company_group, and (2) a correlation coefficient between the headcount and open_roles measures across the supplied rows. All computation is performed locally on the submitted data with no external lookups.","failureModes":["Missing required fields (row_id, company_group, date, headcount, open_roles) cause validation errors","More than 200 rows submitted — exceeds maxItems limit","Date fields not matching YYYY-MM-DD pattern cause schema rejection","Null values in both headcount and open_roles may degrade correlation calculation","Empty rows array returns error due to minItems:1 constraint","Payment failure (insufficient USDC) prevents endpoint execution"],"whenToPreferThis":"Choose this endpoint when you have raw company headcount tabular data (up to 200 rows) and need both a grouped descriptive summary and a pairwise correlation between headcount and open_roles in a single API call. It is ideal for HR analytics, workforce planning, or portfolio monitoring workflows where you want fast, local computation without any external data lookup or prediction. Prefer it over general statistics APIs when your data is already in the expected schema (row_id, company_group, date, headcount, open_roles) and you need both report types bundled at low cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:27.484Z","isFirstParty":false,"canonicalSlug":"company-headcount-observations-grouped-summary-correlation-analysis-8675e02b"}