{"uid":"cap_sp7mlsC799K8wDDG2IBQ7","slug":"company-headcount-observations-numeric-interval-filter-keyed-dataset-d7fea805","name":"Company Headcount Observations — Numeric Interval Filter + Keyed Dataset Comparison","description":"Company headcount observations — Numeric interval filter + Keyed dataset comparison: Numeric interval filter + Keyed dataset comparison 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-12-134?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"headcount":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"open_roles":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"company_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","headcount":10,"open_roles":1,"company_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","headcount":20,"open_roles":2,"company_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","headcount":15,"open_roles":3,"company_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","headcount":30,"open_roles":4,"company_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["headcount","open_roles"],"type":"string","default":"headcount"},"other":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","headcount","open_roles"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21,"open_roles":2,"company_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","headcount":17,"open_roles":3,"company_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","headcount":33,"open_roles":4,"company_group":"group-b"}],"maxItems":200,"minItems":0},"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_Y4ojrSTs6m5wHcQDG9LQq","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":"Applies a numeric interval filter and keyed dataset comparison to two supplied sets of company headcount observation records (up to 200 rows each).","exampleAgentPrompt":"I have two sets of company headcount records — up to 200 rows each — with fields for headcount and open_roles by company group and date. Can you run a numeric interval filter on the headcount field and compare the two datasets using a keyed comparison to surface differences?","exampleUseCases":[{"title":"Headcount growth comparison across quarters","prompt":"I have two quarterly snapshots of company headcount data — one from Q1 and one from Q2, each with up to 150 rows tagged by company_group and date. Can you apply an interval filter on the headcount field and run a keyed comparison between the two snapshots to show me which groups grew or shrank?"},{"title":"Open roles anomaly detection across company groups","prompt":"Here are two datasets of open_roles observations across our portfolio companies, each up to 200 rows. Please filter the open_roles field by numeric interval and compare the two datasets by row key so I can see where open roles diverged significantly between the two periods."},{"title":"Workforce benchmarking between two business units","prompt":"I want to compare headcount records from two different business units — group-a and group-b — each dataset has around 100 rows with date and headcount values. Can you run the interval filter on headcount and do a keyed dataset comparison to benchmark them against each other?"}],"resultDescription":"Returns two analytical reports: (1) rows from the primary dataset that fall within the specified numeric interval for the chosen field (headcount or open_roles), and (2) a keyed comparison between the primary and secondary datasets highlighting differences per row key. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Missing required fields (row_id, company_group, date, headcount, open_roles) causes validation error","Exceeding 200 rows in either dataset results in rejection","Invalid date format (non-YYYY-MM-DD) causes schema validation failure","Numeric values outside the allowed range (-1e12 to 1e12) are rejected","Supplying an invalid field enum value (not 'headcount' or 'open_roles') returns an error","Empty rows array (minItems:1 not met) causes request failure"],"whenToPreferThis":"Choose this endpoint when you have two sets of company headcount or open roles observations (up to 200 rows each) and need both a numeric interval filter and a keyed cross-dataset comparison in a single paid call. It is purpose-built for workforce data with company_group and date dimensions, and bundles two analytical reports for $0.01 USDC — ideal for agents that need lightweight, deterministic analytics on supplied data without any external data fetching or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:29.024Z","isFirstParty":false,"canonicalSlug":"company-headcount-observations-numeric-interval-filter-keyed-dataset-d7fea805"}