{"uid":"cap_mXCTtigyamoNm8crPdK4Z","slug":"procurement-research-string-normalisation-equal-width-histogram-983ad870","name":"Procurement Research — String Normalisation + Equal-Width Histogram","description":"Procurement research — String normalisation + Equal-width histogram: String normalisation + Equal-width histogram for supplied procurement research records (quoted_amount, quoted_units). 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-11-031?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","quoted_amount","quoted_units"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"quoted_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"company_group":{"type":"string","default":"","maxLength":80},"quoted_amount":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","quoted_units":1,"company_group":"group-a","quoted_amount":10},{"date":"2026-10-02","row_id":"row-2","quoted_units":2,"company_group":"group-b","quoted_amount":20},{"date":"2026-10-03","row_id":"row-3","quoted_units":3,"company_group":"group-a","quoted_amount":15},{"date":"2026-10-04","row_id":"row-4","quoted_units":4,"company_group":"group-b","quoted_amount":30}],"maxItems":200,"minItems":1},"field":{"enum":["quoted_amount","quoted_units"],"type":"string","default":"quoted_amount"}}},"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_DlavRraJdTEWnYiqnyDeY","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 an equal-width histogram for quoted_amount or quoted_units across up to 200 procurement records, returning two analytical reports.","exampleAgentPrompt":"Can you normalise the string fields and generate a 10-bin equal-width histogram on quoted_amount for these procurement records — I have about 80 rows covering vendor quotes from groups like 'Alpha Corp' and 'Beta Ltd' with dates in 2024?","exampleUseCases":[{"title":"Supplier quote price distribution analysis","prompt":"I have 150 procurement rows with quoted amounts from three supplier groups — can you run string normalisation and give me a 5-bin equal-width histogram on quoted_amount so I can see how prices are spread?"},{"title":"Procurement units volume binning","prompt":"Take these 60 procurement records with quoted_units values ranging from 50 to 5000, normalise the strings, and give me an equal-width histogram with 8 bins on quoted_units so I can spot any clustering."},{"title":"Vendor quote audit before sourcing decision","prompt":"Before we finalise our sourcing decision, can you normalise our 200-row procurement dataset and bucket the quoted_amount into 10 equal-width bins — I want to see if most quotes are clumped in a narrow range or spread out?"}],"resultDescription":"Returns two reports: (1) string normalisation results for the procurement records, and (2) an equal-width histogram showing bin edges, bin labels, and row counts per bin for the selected numeric field (quoted_amount or quoted_units), based entirely on the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected, max is 200","Missing required fields (row_id, date, quoted_amount, quoted_units) — validation error","bins value outside 1–30 range — schema validation failure","All values for the selected field are null — histogram cannot be computed","Malformed date strings not matching YYYY-MM-DD pattern — validation error","Payment of 0.01 USDC not completed — 402 response"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and a numeric frequency histogram on procurement data (quoted_amount or quoted_units) in a single 0.01 USDC call, with no external data sources or live lookups — ideal for offline analysis of up to 200 supplier quote records where you want two complementary analytical views at once.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:11.675Z","isFirstParty":false,"canonicalSlug":"procurement-research-string-normalisation-equal-width-histogram-983ad870"}