{"uid":"cap_ubrPeDnajZKvG8txUD6BS","slug":"company-headcount-observations-string-normalisation-equal-width-7fff8c2d","name":"Company Headcount Observations — String Normalisation + Equal-Width Histogram","description":"Company headcount observations — String normalisation + Equal-width histogram: String normalisation + Equal-width histogram 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-12-031?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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_r7AUD9pSPgRfxqDq-vqp0","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":"Runs string normalisation and an equal-width histogram analysis on supplied company headcount observation records (headcount and open_roles fields), returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you run string normalisation and an equal-width histogram with 10 bins on this headcount dataset? I have rows for two company groups — TechCorp and FinanceCo — with dates and headcount figures; I want the analysis on the headcount field.","exampleUseCases":[{"title":"Headcount distribution analysis for HR team","prompt":"I have a list of up to 150 headcount observations across several company groups with dates — can you normalise the company name strings and produce a 5-bin equal-width histogram on the headcount field so I can see how employee counts are distributed?"},{"title":"Open roles frequency binning for recruiting","prompt":"Here are 80 rows of open role counts across our business units over the past quarter — please run string normalisation on the company group names and build a 10-bin histogram on the open_roles field so I can see where most of our vacancies cluster."},{"title":"Workforce data cleanup before reporting","prompt":"Before I send this headcount dataset to leadership, can you normalise the company group strings and give me an equal-width histogram with 7 bins on headcount to check whether the data looks reasonable and well-distributed?"}],"resultDescription":"Returns two analytical reports: (1) a string normalisation report that cleans and standardises the company_group strings in the supplied rows, and (2) an equal-width histogram report showing bin edges and counts for the selected numeric field (headcount or open_roles) across up to 200 input rows.","failureModes":["More than 200 rows submitted — request rejected due to maxItems constraint","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Bins value outside 1–30 range causes validation error","All values for the selected field are null — histogram cannot be computed","Missing required row fields (row_id, headcount, open_roles, date, company_group) cause schema errors","Payment not completed — x402 payment required before processing"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and an equal-width histogram in a single paid call against pre-supplied company headcount data (up to 200 rows). It is ideal for HR or workforce analytics pipelines that need to clean categorical labels and understand numeric distributions simultaneously without any live data lookup or external enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:01.435Z","isFirstParty":false,"canonicalSlug":"company-headcount-observations-string-normalisation-equal-width-7fff8c2d"}