{"uid":"cap_O3v-d0La45TvwQW1ejEZ1","slug":"company-headcount-observations-category-frequencies-numeric-row-6eec8057","name":"Company Headcount Observations — Category Frequencies & Numeric Row Ordering","description":"Company headcount observations — Category frequencies + Numeric row ordering: Category frequencies + Numeric row ordering 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-12-100?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_rtNC2VO-3je8GfTGQb2u0","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 up to 200 company headcount observation records, producing category frequency counts for company groups and numeric ordering for headcount or open_roles fields.","exampleAgentPrompt":"I have 50 company headcount observation records with fields row_id, company_group, date, headcount, and open_roles — can you give me the category frequency breakdown by company_group and also rank the rows by headcount from lowest to highest?","exampleUseCases":[{"title":"Workforce distribution by business unit","prompt":"I have quarterly headcount snapshots for three company groups — group-a, group-b, and group-c — across 120 rows. Can you tell me how many records each group has and rank all rows by headcount so I can see who grew the most?"},{"title":"Open roles ranking for hiring prioritization","prompt":"Here are 80 rows of company headcount observations. I want to see the category frequencies for company_group and sort everything by open_roles so we know which groups have the most unfilled positions right now."},{"title":"Monthly headcount trend ordering","prompt":"I've got 150 monthly headcount records across two company groups. Can you count how many observations belong to each company_group and order the rows numerically by headcount so I can spot the progression over time?"}],"resultDescription":"Returns two analytical reports: (1) category frequency counts showing how many records belong to each company_group value, and (2) numeric row ordering ranking all submitted rows by the selected numeric field (headcount or open_roles) from lowest to highest. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Exceeding 200 rows returns an error — must paginate or trim input","Missing required fields (row_id, company_group, date, headcount, open_roles) causes validation failure","Invalid date format (not YYYY-MM-DD) triggers schema rejection","Null values in the selected numeric field may affect ordering completeness","Selecting a field value outside the enum ['headcount','open_roles'] causes a schema error","Empty rows array rejected due to minItems:1 constraint"],"whenToPreferThis":"Choose this endpoint when you have company headcount observation data already in hand and need two quick analytical views — category distribution by company group and numeric ordering of a headcount metric — without any external data lookup or prediction. It is ideal for lightweight HR analytics, workforce reporting, and hiring prioritization tasks on datasets of up to 200 rows at minimal cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:25.632Z","isFirstParty":false,"canonicalSlug":"company-headcount-observations-category-frequencies-numeric-row-6eec8057"}