{"uid":"cap_F1ivjLgoCE9gvt7ikyh_U","slug":"company-headcount-observations-grouped-summary-date-category-pivot-c774a5d5","name":"Company Headcount Observations — Grouped Summary & Date-Category Pivot","description":"Company headcount observations — Grouped numeric summary + Date by category pivot: Grouped numeric summary + 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-12-097?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_xXGkyGUGc8TKM2MuQYpCz","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":"Generates two analytical reports (grouped numeric summary and date-by-category pivot) from supplied company headcount and open roles data for up to 200 rows.","exampleAgentPrompt":"Can you run both a grouped numeric summary and a date-by-category pivot on these headcount and open roles records for group-a and group-b — I have 4 rows of data with dates ranging from 2026-10-01 to 2026-10-04, and I want to analyze the headcount field?","exampleUseCases":[{"title":"Quarterly headcount trend pivot","prompt":"I have monthly headcount snapshots for three company divisions across Q3 — can you pivot this data by date and division so I can see how each group's headcount changed over time? I'll give you the rows with dates, company groups, headcount numbers, and open roles counts."},{"title":"Grouped open roles summary by department","prompt":"Take these 50 rows of open roles data across our engineering, sales, and marketing groups and generate a grouped numeric summary so I can see the totals and averages per department — use the open_roles field for the analysis."},{"title":"Workforce data analytics report for board deck","prompt":"I need two reports from our headcount observation data: a grouped summary and a date-category pivot, both using the headcount field. I've got about 120 rows covering five company groups across the past six months — can you run both analytics at once?"}],"resultDescription":"Returns two analytical reports: (1) a grouped numeric summary of the selected field (headcount or open_roles) broken down by company_group, including aggregate statistics; and (2) a date-by-category pivot table showing the selected field values across dates and company groups. Both reports are derived solely from the supplied input rows with no external data lookups.","failureModes":["Rows array is empty or missing — minimum 1 row required","More than 200 rows submitted — only up to 200 rows are supported","Invalid date format in any row (must match YYYY-MM-DD pattern)","Missing required row fields (row_id, company_group, date, headcount, open_roles)","Invalid field value — must be either 'headcount' or 'open_roles'","row_id exceeds 80 character limit or is empty","Null numeric values may affect summary statistics output"],"whenToPreferThis":"Choose this endpoint when you have pre-collected company headcount or open roles observation records (up to 200 rows) and need both a grouped aggregate summary and a date-by-category pivot in a single call. It is ideal for offline/batch analytical workflows where no live data lookup, prediction, or external action is needed. It is cost-effective at $0.01 USDC for two simultaneous reports derived from your supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:19.251Z","isFirstParty":false,"canonicalSlug":"company-headcount-observations-grouped-summary-date-category-pivot-c774a5d5"}