{"uid":"cap_Q_Dq0i83f5l7r-CPfZxhx","slug":"company-headcount-observations-numeric-row-ordering-iqr-outlier-flags-2c1fadd8","name":"Company Headcount Observations — Numeric Row Ordering + IQR Outlier Flags","description":"Company headcount observations — Numeric row ordering + IQR outlier flags: Numeric row ordering + IQR outlier flags 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-12-119?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_vQgAdHwV0g9HNHss3z6mr","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 rows by computing numeric row ordering and IQR-based outlier flags for headcount or open_roles fields.","exampleAgentPrompt":"I have a set of company headcount observations across different groups — can you rank them numerically and flag any IQR outliers in the headcount field? Here are up to 200 rows with row IDs, company groups, dates, headcount counts, and open roles.","exampleUseCases":[{"title":"Detect headcount anomalies across business units","prompt":"I've got quarterly headcount data for about 150 company groups and I want to know which ones have headcount values that look like outliers — can you run IQR outlier flagging on the headcount field and also show me the numeric ordering of all the rows?"},{"title":"Rank open roles to prioritize hiring reviews","prompt":"Can you sort my open_roles data numerically and flag any rows where the open roles count is statistically unusual using IQR? I have about 80 records with row IDs, company groups, and dates — I want to focus our hiring review on the flagged outliers."},{"title":"Audit workforce data for data quality issues","prompt":"We're doing a data quality audit on our workforce records — I have 120 rows of headcount observations with company groups, dates, and headcount numbers. Can you give me a numeric ranking of all rows by headcount and highlight which ones are IQR outliers so we can investigate them further?"}],"resultDescription":"Returns two analytical reports for up to 200 input rows: (1) a numeric ordering/ranking of rows by the selected field (headcount or open_roles), and (2) IQR-based outlier flags identifying which rows contain statistically anomalous values. Results are derived entirely from the supplied data using local analytical engines — no external lookups are performed.","failureModes":["Input array exceeds 200 rows — request will be rejected or truncated","Missing required fields (row_id, company_group, date, headcount, open_roles) cause row-level errors","Invalid date format (must match YYYY-MM-DD pattern) causes parsing failures","All-null values for the selected field may produce empty or degenerate IQR results","Insufficient data variance may result in trivial outlier flags (all or none flagged)"],"whenToPreferThis":"Choose this endpoint when you have a batch of up to 200 company headcount or open-roles records and need both a numeric ranking and IQR-based outlier detection in a single call. It is ideal for HR analytics, workforce data auditing, or identifying anomalous headcount entries without requiring external data sources or predictions. Prefer this over general-purpose statistical tools when you need a lightweight, cost-effective ($0.01 USDC) packaged analysis of supplied workforce data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:31.341Z","isFirstParty":false,"canonicalSlug":"company-headcount-observations-numeric-row-ordering-iqr-outlier-flags-2c1fadd8"}