{"uid":"cap_vojxxWMjGKF476ihzRgz3","slug":"company-headcount-observations-numeric-distribution-daily-sum-series-7bf7d6fd","name":"Company Headcount Observations — Numeric Distribution + Daily Sum Series","description":"Company headcount observations — Numeric distribution + Daily sum series: Numeric distribution + Daily sum series 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-12-075?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_knW5kKh0Y16H8BzlmxCXk","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":"Computes a numeric distribution and a daily sum time series for supplied company headcount observation records (headcount and open_roles fields), returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have a dataset of daily headcount observations for two company groups — group-a and group-b — with dates ranging from 2026-10-01 to 2026-10-04 and headcount values like 10, 20, 15, 30. Can you run the numeric distribution and daily sum series analysis on the headcount field for these rows?","exampleUseCases":[{"title":"Workforce size distribution audit","prompt":"I have 150 rows of headcount records across several company groups with dates and headcount numbers. Can you give me a numeric distribution of the headcount field and a daily sum series so I can understand how employee counts are spread and how they total up day by day?"},{"title":"Open roles trend aggregation","prompt":"Here are my company's open roles observations for the past quarter — each row has a date, company group, and open_roles count. Can you compute the numeric distribution and daily sum series for the open_roles field so I can spot patterns?"},{"title":"Multi-group headcount comparison","prompt":"I've got two company groups, group-alpha and group-beta, with 80 rows of headcount data by date. Please run the numeric distribution and daily sum series on headcount so I can compare how each group's workforce totals stack up over time."}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution (e.g. min, max, mean, percentiles, frequency buckets) for the selected field (headcount or open_roles), and (2) a daily sum time series aggregating that field's values by date — both computed locally on the supplied data without any external lookup.","failureModes":["Rows array is empty or missing — returns validation error","More than 200 rows supplied — rejected by maxItems constraint","date field does not match YYYY-MM-DD pattern — schema validation failure","Required fields (row_id, company_group, date) missing from row objects — validation error","headcount or open_roles values outside allowed numeric range — schema rejection","Invalid field selector (not 'headcount' or 'open_roles') — enum validation failure"],"whenToPreferThis":"Choose this endpoint when you have a batch of company headcount or open_roles observations (up to 200 rows) and need both a statistical distribution and a daily sum time series in a single call for a fixed low cost. It is best suited for offline/supplied-data analytics rather than live lookups or predictions. Prefer it when you want two reports (distribution + daily aggregation) together without needing external data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:17.876Z","isFirstParty":false,"canonicalSlug":"company-headcount-observations-numeric-distribution-daily-sum-series-7bf7d6fd"}