{"uid":"cap_CfcKgGq_7pJzFXgpayOKH","slug":"company-headcount-observations-numeric-interval-filter-two-measure-1e07d793","name":"Company Headcount Observations — Numeric Interval Filter + Two-Measure Correlation","description":"Company headcount observations — Numeric interval filter + Two-measure correlation: Numeric interval filter + 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-12-131?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_n_kG3z3BlqCWnplXuZbQu","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":"Filters company headcount observation rows by a numeric interval and computes a two-measure correlation (headcount vs open_roles) across up to 200 supplied rows in two independent analytical reports.","exampleAgentPrompt":"I have 150 company headcount snapshots with headcount and open_roles columns — can you filter to rows where headcount is between 50 and 500, and then run a correlation analysis between headcount and open_roles across all those records?","exampleUseCases":[{"title":"Hiring demand vs company size analysis","prompt":"I've got quarterly headcount and open roles data for about 80 companies across two groups — can you filter to companies with headcount between 100 and 1000 and tell me how strongly open_roles correlates with headcount in that range?"},{"title":"Small company workforce correlation check","prompt":"Here are my company observation records. Filter to rows where open_roles is between 0 and 20, then compute the correlation between headcount and open_roles so I can see if smaller hiring volumes track company size."},{"title":"Multi-group headcount band comparison","prompt":"I have headcount observations for group-a and group-b companies dated through Q4. Please filter down to where headcount falls between 200 and 800 and run the two-measure correlation so I can see how open positions relate to workforce size in that band."}],"resultDescription":"Returns two independent analytical reports: (1) the rows from the supplied dataset that fall within the specified numeric interval for the chosen field, and (2) a correlation analysis between the headcount and open_roles measures across those records. Results are derived entirely from the supplied data with no external lookups.","failureModes":["Empty or malformed rows array returns an error or empty report","Date fields not matching YYYY-MM-DD pattern cause validation failure","Rows exceeding 200-item limit are rejected","Minimum greater than maximum produces an empty filtered set or error","Null values in headcount or open_roles may reduce correlation sample size","Missing required row fields (row_id, company_group, date) cause schema validation errors"],"whenToPreferThis":"Choose this endpoint when you have a batch of company headcount observation records (up to 200 rows) and need both a numeric range filter on headcount or open_roles AND a correlation analysis between those two measures in a single $0.01 call. It is ideal for offline/supplied-data analytics where no live data fetch or prediction is needed, and when you want two packaged statistical outputs (interval filter + correlation) without building your own analytical pipeline.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:25.631Z","isFirstParty":false,"canonicalSlug":"company-headcount-observations-numeric-interval-filter-two-measure-1e07d793"}