{"uid":"cap_tVuhUo8zsU-WdTuNPH7qa","slug":"company-headcount-observations-numeric-row-ordering-daily-sum-series-8f70d91f","name":"Company Headcount Observations — Numeric Row Ordering + Daily Sum Series","description":"Company headcount observations — Numeric row ordering + Daily sum series: Numeric row ordering + 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-12-114?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_w-oVHPL7WS1Wu6s2KB7xS","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 numeric row ordering and a daily sum time series for company headcount or open-roles data across up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Rank these company headcount rows numerically and give me a daily sum series for the headcount field — I have 4 records: row-1 on 2026-10-01 for group-a with headcount 10 and 1 open role, row-2 on 2026-10-02 for group-b with headcount 20 and 2 open roles, row-3 on 2026-10-03 for group-a with headcount 15 and 3 open roles, row-4 on 2026-10-04 for group-b with headcount 30 and 4 open roles.","exampleUseCases":[{"title":"Daily headcount totals across business units","prompt":"I have daily headcount snapshots for our two divisions — engineering and operations — spanning the last month. Can you rank those rows numerically and show me the daily sum series for headcount so I can see how total workforce changes day by day?"},{"title":"Tracking open roles over time","prompt":"Here are our open roles records by date and team group for Q3. Rank them in numeric order and compute a daily sum series for open_roles so I can see how hiring demand is trending across the quarter."},{"title":"Validating workforce data ordering","prompt":"I've got 150 company headcount observation rows from our HR system with dates, group labels, headcount counts, and open role counts. Can you number them in row order and give me the daily sum series for headcount to sanity-check our data pipeline output?"}],"resultDescription":"Returns two reports: (1) a numeric row ordering of the supplied headcount records, and (2) a daily sum time series for the selected field (headcount or open_roles), aggregated across all company groups per date. Both reports are computed locally with no external lookups.","failureModes":["Missing required fields (row_id, company_group, date, headcount, open_roles) cause validation errors","Date strings not matching YYYY-MM-DD pattern are rejected","Submitting more than 200 rows exceeds the row limit and will be rejected","Empty rows array (minItems: 1 violated) returns an error","Invalid field enum value (anything other than 'headcount' or 'open_roles') causes a schema error","Null numeric values for both headcount and open_roles may produce incomplete aggregations"],"whenToPreferThis":"Choose this endpoint when you need two specific analytical outputs — numeric row ordering and a daily sum time series — for company headcount or open-roles data in a single low-cost call. It is ideal for HR analytics pipelines, workforce tracking dashboards, or data validation workflows where you already have the observation data locally and need fast, deterministic computation without live data lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:08.643Z","isFirstParty":false,"canonicalSlug":"company-headcount-observations-numeric-row-ordering-daily-sum-series-8f70d91f"}