{"uid":"cap_5E-9-QKA-xoc8zh7FTxda","slug":"company-headcount-observations-daily-sum-series-date-by-category-pivot-32be2a6c","name":"Company Headcount Observations — Daily Sum Series + Date by Category Pivot","description":"Company headcount observations — Daily sum series + Date by category pivot: Daily sum series + 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-12-143?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_F59_rvrbPbfum6Jc9gaaW","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 from supplied company headcount data: a daily sum time series and a date-by-category pivot table, for up to 200 rows.","exampleAgentPrompt":"I have headcount and open roles records for two company groups across October 2026 — can you generate a daily sum time series and a date-by-category pivot for the headcount field from this data: row-1 (2026-10-01, group-a, headcount 10, open_roles 1), row-2 (2026-10-02, group-b, headcount 20, open_roles 2), row-3 (2026-10-03, group-a, headcount 15, open_roles 3), row-4 (2026-10-04, group-b, headcount 30, open_roles 4)?","exampleUseCases":[{"title":"Daily workforce trend by business unit","prompt":"I have four weeks of daily headcount snapshots for our three divisions — can you run a daily sum series and a date-by-category pivot on the headcount field so I can see how total employee counts evolved day by day across divisions?"},{"title":"Recruiting pipeline cross-tab","prompt":"Here are 150 rows of daily open_roles observations for our APAC and EMEA groups through Q3 — can you produce a daily sum series plus a date-by-category pivot on open_roles so I can see how hiring demand shifted over time by region?"},{"title":"Post-merger headcount reconciliation","prompt":"I've got combined headcount records for the acquired company and our legacy group from the past 90 days — run a daily total series and a category-date pivot on headcount so I can spot where the two organizations overlap or diverge by day?"}],"resultDescription":"Returns two analytical reports: (1) a daily sum series showing total values of the selected field (headcount or open_roles) aggregated per date, and (2) a date-by-category pivot table cross-tabulating the selected field by date and company_group — both computed locally from the supplied rows, covering up to 200 input records.","failureModes":["Supplying more than 200 rows returns an error or truncation","Missing required fields (row_id, company_group, date, headcount, open_roles) cause validation failure","Invalid date format (not YYYY-MM-DD) causes a parsing error","Empty rows array rejected as minItems is 1","Values outside ±1,000,000,000,000 may be rejected by schema validation","Invalid field enum value (anything other than 'headcount' or 'open_roles') causes an error"],"whenToPreferThis":"Choose this endpoint when you have pre-collected company headcount or open_roles observation records (up to 200 rows) and need both a daily aggregate time series and a category-date pivot in a single low-cost call ($0.01 USDC). It is ideal for offline/batch HR analytics where no live data lookup or prediction is needed, and when you want two complementary views of the same dataset without paying for two separate API calls.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:23.915Z","isFirstParty":false,"canonicalSlug":"company-headcount-observations-daily-sum-series-date-by-category-pivot-32be2a6c"}