{"uid":"cap_TkmwqbWmgB0c6sudPuNni","slug":"company-headcount-observations-numeric-distribution-explicit-missing-41664a60","name":"Company Headcount Observations — Numeric Distribution + Explicit Missing-Value Fill","description":"Company headcount observations — Numeric distribution + Explicit missing-value fill: Numeric distribution + Explicit missing-value fill 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-12-085?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_dz6qyjLh863R0t_gvv-YY","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 a numeric distribution report and filling missing headcount or open_roles values using zero, mean, or median imputation.","exampleAgentPrompt":"I have 50 rows of company headcount observations with some missing headcount values — can you fill in the blanks using median imputation and also give me a numeric distribution report for the headcount field?","exampleUseCases":[{"title":"Impute missing headcount for HR reporting","prompt":"I have a dataset of 120 company headcount records across two groups, group-a and group-b, but some headcount values are null — can you fill them in using median imputation and show me the distribution of the headcount field?"},{"title":"Analyze open roles distribution across companies","prompt":"Here are 80 rows of workforce data with date, company group, headcount, and open_roles fields — can you run a numeric distribution analysis on the open_roles field and fill any missing open_roles values using the mean?"},{"title":"Zero-fill missing headcount before downstream processing","prompt":"I need to prep this batch of 150 company headcount observations for a pipeline — please fill all null headcount entries with zero and give me the numeric distribution so I can spot any anomalies before proceeding."}],"resultDescription":"Returns two analytical reports for the supplied batch of up to 200 rows: (1) a numeric distribution summary for the selected field (headcount or open_roles), including statistics like min, max, mean, median, and spread indicators; and (2) an explicit missing-value fill report showing which rows had nulls and what values were imputed using the chosen method (zero, mean, or median). No external data is fetched; all analysis is performed locally on the supplied records.","failureModes":["More than 200 rows submitted — request exceeds maxItems limit and will be rejected","Missing required row fields (row_id, company_group, date, headcount, open_roles) — validation error","Invalid date format (not YYYY-MM-DD) — pattern validation failure","Invalid field enum value (must be 'headcount' or 'open_roles') — rejected","Invalid method enum value (must be 'zero', 'mean', or 'median') — rejected","Empty rows array — minItems violation","Payment failure — 0.01 USDC not provided or x402 protocol error"],"whenToPreferThis":"Choose this endpoint when you have a batch of up to 200 company headcount or open_roles records that need both a numeric distribution summary and missing-value imputation in a single call. It is ideal for HR analytics pipelines, workforce reporting, and data preparation workflows where you need to understand data spread and clean nulls before downstream use. It operates entirely on supplied data with no external lookups, making it fast, deterministic, and safe for sensitive workforce data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:32.357Z","isFirstParty":false,"canonicalSlug":"company-headcount-observations-numeric-distribution-explicit-missing-41664a60"}