{"uid":"cap_MiZCDEpK3mMABF16Hclyw","slug":"supplier-delivery-evidence-string-normalisation-category-frequencies-b84f3062","name":"Supplier Delivery Evidence — String Normalisation + Category Frequencies","description":"Supplier delivery evidence — String normalisation + Category frequencies: String normalisation + Category frequencies for supplied supplier delivery evidence records (deliveries, on_time_deliveries). 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-15-024?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","deliveries","on_time_deliveries"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"deliveries":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"company_group":{"type":"string","default":"","maxLength":80},"on_time_deliveries":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","deliveries":10,"company_group":"group-a","on_time_deliveries":1},{"date":"2026-10-02","row_id":"row-2","deliveries":20,"company_group":"group-b","on_time_deliveries":2},{"date":"2026-10-03","row_id":"row-3","deliveries":15,"company_group":"group-a","on_time_deliveries":3},{"date":"2026-10-04","row_id":"row-4","deliveries":30,"company_group":"group-b","on_time_deliveries":4}],"maxItems":200,"minItems":1}}},"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_FJjLARX9VDBqNsj7LTYIp","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 category frequency distributions for supplier delivery evidence records (deliveries, on_time_deliveries) across up to 200 rows.","exampleAgentPrompt":"I have up to 200 rows of supplier delivery evidence with fields like company_group, date, deliveries, and on_time_deliveries — can you normalize the string fields and give me a category frequency breakdown for each group?","exampleUseCases":[{"title":"Supplier delivery audit by group","prompt":"I have 150 rows of delivery records from our supplier network, each with a company_group, date, number of deliveries, and on_time_deliveries count. Can you normalize the text fields and show me how frequently each company group appears in the dataset?"},{"title":"On-time delivery frequency analysis","prompt":"Here are 80 rows of supplier delivery evidence with company_group and on_time_deliveries columns. Run string normalization on the text and give me a category frequency table so I can see which suppliers appear most often."},{"title":"Data cleaning before logistics report","prompt":"Before I build our quarterly logistics report, I need to clean up 200 rows of raw delivery evidence — normalize any string inconsistencies and compute how often each company group and delivery category shows up."}],"resultDescription":"Returns two analytical reports for the supplied rows: (1) string-normalised versions of text fields (e.g. company_group, date) and (2) category frequency counts showing how often each distinct category value appears across the dataset. No external lookups or predictions are made; all analysis uses local engines on the submitted data.","failureModes":["Exceeding 200 rows causes a rejection or truncation error","Missing required fields (row_id, company_group, date, deliveries, on_time_deliveries) causes validation failure","Invalid date format (not YYYY-MM-DD) triggers a pattern mismatch error","Numeric fields outside the allowed range (-1e12 to 1e12) are rejected","Empty rows array (minItems: 1 not met) returns an error","Payment of 0.01 USDC not provided causes 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of supplier delivery evidence and need both string normalisation and category frequency analysis in a single low-cost call ($0.01 USDC for both reports). Ideal for pre-processing supplier data before reporting pipelines, or when you need a quick frequency audit of company groups and delivery categories without setting up a local analytics stack.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T06:53:00.071Z","isFirstParty":false,"canonicalSlug":"supplier-delivery-evidence-string-normalisation-category-frequencies-b84f3062"}