{"uid":"cap_wFQpNJ_uGd9EHc_zkmLhu","slug":"company-headcount-observations-numeric-row-ordering-date-by-category-8f45ca7b","name":"Company Headcount Observations — Numeric Row Ordering + Date by Category Pivot","description":"Company headcount observations — Numeric row ordering + Date by category pivot: Numeric row ordering + Date by category pivot 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-12-122?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_0cb4ozr9PEjgjiR6I7OmD","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 supplied company headcount and open roles data using two local analytical reports: numeric row ordering and date-by-category pivot, for up to 200 rows.","exampleAgentPrompt":"I have headcount and open roles records for our company groups — can you run a numeric row ordering and a date-by-category pivot on this data? Here are up to 200 rows with row_id, company_group, date, headcount, and open_roles fields. Please analyze the headcount field.","exampleUseCases":[{"title":"Ranking companies by headcount size","prompt":"I have quarterly headcount snapshots for 5 company groups and want to see them ordered numerically by size — can you run the numeric row ordering report on my headcount field across all these rows?"},{"title":"Pivoting open roles by date and company group","prompt":"Can you build a date-by-category pivot for my open roles data? I have observations tagged by company group and date and want to see how open_roles break down across those two dimensions."},{"title":"Workforce trend analysis across subsidiaries","prompt":"We track headcount monthly for our subsidiaries — can you run both the numeric row ordering and the date-pivot reports on this headcount data so I can see which groups are growing and when?"}],"resultDescription":"Two analytical reports derived from the supplied rows: (1) a numeric row ordering ranking records by the selected field (headcount or open_roles), and (2) a date-by-category pivot table cross-tabulating values by date and company_group. No external data is fetched; all computation is performed locally on the provided rows.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, company_group, date, headcount, open_roles) — validation error","Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure","Invalid field selector (must be 'headcount' or 'open_roles') — enum validation error","Empty rows array — minimum 1 item required","Null numeric values in all rows for selected field — pivot or ordering may produce empty or degenerate output"],"whenToPreferThis":"Choose this endpoint when you have structured company headcount or open roles tabular data (up to 200 rows) and need two specific analytical views — numeric ranking and a date-by-category pivot — without requiring live data lookup, predictions, or external integrations. Ideal for HR analysts, workforce planners, or business intelligence workflows that need quick, inexpensive ($0.01 USDC for both reports) local computation on already-collected headcount snapshots.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:13.130Z","isFirstParty":false,"canonicalSlug":"company-headcount-observations-numeric-row-ordering-date-by-category-8f45ca7b"}