{"uid":"cap__A6G1goXpI4b3T_i13wQt","slug":"company-headcount-observations-category-frequencies-keyed-dataset-3624e9f8","name":"Company Headcount Observations — Category Frequencies & Keyed Dataset Comparison","description":"Company headcount observations — Category frequencies + Keyed dataset comparison: Category frequencies + 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-12-111?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"headcount":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"open_roles":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"company_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","headcount":10,"open_roles":1,"company_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","headcount":20,"open_roles":2,"company_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","headcount":15,"open_roles":3,"company_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","headcount":30,"open_roles":4,"company_group":"group-b"}],"maxItems":200,"minItems":1},"other":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","headcount","open_roles"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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}}},"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_lED-f-DPKnGvKyahEtZIJ","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 by computing category frequencies and comparing two keyed datasets (rows vs other) across headcount and open_roles fields.","exampleAgentPrompt":"Can you run a category frequency breakdown and a side-by-side comparison of these two sets of company headcount records — the main dataset has 4 rows for group-a and group-b with headcounts 10, 20, 15, 30 and open roles 1, 2, 3, 4, and the comparison dataset has slightly different headcounts of 10, 21, 17, 33 for the same rows and dates from 2026-10-01 to 2026-10-04?","exampleUseCases":[{"title":"Quarterly headcount shift detection","prompt":"I have two snapshots of our company headcount data — one from last quarter and one from this quarter, each with up to 150 rows tagged by company group and date. Can you compute the category frequency breakdown for the current snapshot and compare it against the previous one row-by-row to show me what changed in headcount and open roles?"},{"title":"Multi-company group frequency audit","prompt":"We track headcount and open roles across five company groups daily. Can you take our latest 200 observation records and give me a frequency report showing how often each group appears, plus compare today's numbers against yesterday's keyed dataset to flag any differences?"},{"title":"HR analytics for hiring pipeline review","prompt":"I want to understand the distribution of open roles across our company groups this month. Here are up to 100 rows of headcount observations with company_group, date, headcount, and open_roles — can you compute the category frequencies and compare them against last month's equivalent records?"}],"resultDescription":"Returns two analytical reports: (1) a category frequency report showing how headcount and open_roles values are distributed across company groups in the primary dataset, and (2) a keyed dataset comparison report that aligns records from the primary and secondary datasets by row_id and surfaces differences in headcount and open_roles values between them.","failureModes":["Missing required fields (row_id, company_group, date, headcount, open_roles) in any row causes validation failure","Exceeding 200 rows in either array returns an error","Invalid date format (non-YYYY-MM-DD) causes schema rejection","Payment of 0.01 USDC not included or fails x402 protocol results in 402 response","Empty rows array (minItems:1 violated) returns a validation error"],"whenToPreferThis":"Choose this endpoint when you need to simultaneously run both a category frequency distribution analysis and a keyed row-level comparison on company headcount observation data (headcount + open_roles) in a single call. It is ideal for HR analytics, workforce planning, and change-detection workflows where you have two snapshots of headcount data and want both a distributional summary and a record-level diff without making external lookups or predictions. It covers up to 200 rows and costs $0.01 USDC per call, making it cost-effective for batch analytical reporting on supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:23.685Z","isFirstParty":false,"canonicalSlug":"company-headcount-observations-category-frequencies-keyed-dataset-3624e9f8"}