{"uid":"cap_maK67XWuTWxuy2SbkYwcB","slug":"company-headcount-observations-numeric-interval-filter-iqr-outlier-70303b0f","name":"Company Headcount Observations — Numeric Interval Filter + IQR Outlier Flags","description":"Company headcount observations — Numeric interval filter + IQR outlier flags: Numeric interval filter + 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-12-130?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_nXLszL4T7e6ChPIKjKFEL","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":"Applies a numeric interval filter and IQR-based outlier detection to supplied company headcount or open-roles observation records, returning up to 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"I have headcount and open roles observations for several company groups — can you filter the headcount field to only rows between 50 and 500, and also flag any IQR outliers? Here are my rows: row-1, 2024-01-01, group-a, headcount=120, open_roles=5; row-2, 2024-01-02, group-b, headcount=8000, open_roles=3; row-3, 2024-01-03, group-a, headcount=200, open_roles=12.","exampleUseCases":[{"title":"Outlier detection in HR workforce data","prompt":"I've got 150 monthly headcount snapshots across 10 company groups and I want to flag which ones are IQR outliers and which fall outside the range of 100 to 5000 employees — can you run both reports on the headcount field?"},{"title":"Filtering open roles records by valid range","prompt":"Here are 80 rows of open roles observations per company — filter the open_roles field to only keep records between 0 and 200, and flag any statistical outliers using IQR analysis."},{"title":"Cleaning headcount data before dashboard load","prompt":"Before I load this into our dashboard, can you check these 60 headcount rows for values outside 10 to 10000 and also mark any IQR outliers on the headcount field so we can review them?"}],"resultDescription":"Returns up to 2 analytical reports: one identifying rows whose selected field (headcount or open_roles) falls within the specified numeric interval [minimum, maximum], and one flagging IQR-based outliers in that field. Results are row-level and derived entirely from the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — exceeds batch limit","Invalid date format (not YYYY-MM-DD) — validation error","Missing required row fields (row_id, company_group, date, headcount, open_roles) — schema error","Minimum greater than maximum — may produce empty interval filter result","All-null field values — IQR computation may be undefined or return no outliers"],"whenToPreferThis":"Choose this endpoint when you have pre-collected company headcount or open-roles tabular data and need quick statistical QA — specifically numeric range filtering and IQR outlier flagging — without any live data lookup or external API integration. It is ideal for data cleaning pipelines, HR analytics preprocessing, or validating workforce datasets before ingestion into dashboards or models.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:40.565Z","isFirstParty":false,"canonicalSlug":"company-headcount-observations-numeric-interval-filter-iqr-outlier-70303b0f"}