{"uid":"cap_bteMxUpuG2YxXUXBELUUE","slug":"customer-segment-observations-string-normalisation-equal-width-843acd22","name":"Customer Segment Observations — String Normalisation + Equal-Width Histogram","description":"Customer segment observations — String normalisation + Equal-width histogram: String normalisation + Equal-width histogram for supplied customer segment observations records (account_count, revenue_amount). 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-16-031?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","account_count","revenue_amount"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"account_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"company_group":{"type":"string","default":"","maxLength":80},"revenue_amount":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","account_count":10,"company_group":"group-a","revenue_amount":1},{"date":"2026-10-02","row_id":"row-2","account_count":20,"company_group":"group-b","revenue_amount":2},{"date":"2026-10-03","row_id":"row-3","account_count":15,"company_group":"group-a","revenue_amount":3},{"date":"2026-10-04","row_id":"row-4","account_count":30,"company_group":"group-b","revenue_amount":4}],"maxItems":200,"minItems":1},"field":{"enum":["account_count","revenue_amount"],"type":"string","default":"account_count"}}},"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_jpewv_KzHadMqODP5PR55","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":"Normalises string fields and computes equal-width histograms for account_count or revenue_amount across up to 200 customer segment observation rows, returning two local analytical reports.","exampleAgentPrompt":"Can you normalise the string fields and build an equal-width histogram with 8 bins on the revenue_amount column for these customer segment records — I have about 50 rows with row_id, company_group, date, account_count, and revenue_amount?","exampleUseCases":[{"title":"Revenue distribution across customer groups","prompt":"I have 120 rows of customer segment data with account_count and revenue_amount. Can you normalise the strings and give me a 10-bin equal-width histogram on revenue_amount so I can see how revenue is distributed across segments?"},{"title":"Account count frequency bucketing","prompt":"Run string normalisation and build a 5-bin equal-width histogram on account_count for my customer segment observation records — I've got about 80 rows with company_group, date, account_count, and revenue_amount fields."},{"title":"Segment data quality and distribution check","prompt":"I need to clean up the string fields in my customer segment dataset and see how account_count values spread across equal-width buckets — can you do string normalisation plus a 7-bin histogram on account_count for these 200 rows?"}],"resultDescription":"Returns two analytical reports: (1) a string normalisation report showing cleaned/standardised string field values for company_group and date columns, and (2) an equal-width histogram report showing bin edges, bin widths, and observation counts per bin for the selected numeric field (account_count or revenue_amount), computed locally without external lookups.","failureModes":["More than 200 rows submitted — request exceeds row limit","Invalid date format (not YYYY-MM-DD) — validation error","bins value outside 1–30 range — rejected by schema","Missing required fields (row_id, company_group, date, account_count, revenue_amount) — schema validation failure","Numeric values outside ±1,000,000,000,000 range — rejected","Empty rows array — minItems constraint violation"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and equal-width histogram analysis on customer segment data (account_count or revenue_amount) in a single call at low cost ($0.01 USDC for both reports). It is ideal for offline/local analytical processing of up to 200 rows without requiring live data lookups, predictions, or external integrations. Prefer it over general-purpose analytics when you specifically need equal-width binning (as opposed to equal-frequency/quantile binning) and string standardisation together.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T00:52:24.398Z","isFirstParty":false,"canonicalSlug":"customer-segment-observations-string-normalisation-equal-width-843acd22"}