{"uid":"cap_BZx38p-8-8fnqrThJ1uBX","slug":"price-basket-observations-string-normalisation-numeric-row-ordering-0a07f32c","name":"Price Basket Observations — String Normalisation + Numeric Row Ordering","description":"Price basket observations — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering for supplied price basket observations records (item_price, quantity_weight). 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-economics-07-025?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","region","date","item_price","quantity_weight"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"region":{"type":"string","default":"","maxLength":80},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"item_price":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"quantity_weight":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","region":"group-a","row_id":"row-1","item_price":10,"quantity_weight":1},{"date":"2026-10-02","region":"group-b","row_id":"row-2","item_price":20,"quantity_weight":2},{"date":"2026-10-03","region":"group-a","row_id":"row-3","item_price":15,"quantity_weight":3},{"date":"2026-10-04","region":"group-b","row_id":"row-4","item_price":30,"quantity_weight":4}],"maxItems":200,"minItems":1},"field":{"enum":["item_price","quantity_weight"],"type":"string","default":"item_price"}}},"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_39epKC7DRfe-oTNIAXDh2","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 applies numeric row ordering to up to 200 price basket observation records (item_price, quantity_weight), returning two analytical reports.","exampleAgentPrompt":"Can you run string normalisation and numeric row ordering on my price basket data? I have 4 rows with item_price values and I want to analyse the item_price field — rows include region group-a and group-b entries dated 2026-10-01 through 2026-10-04.","exampleUseCases":[{"title":"Retail Price Data Cleanup","prompt":"I have 50 rows of price basket observations with region names and item prices that need string normalisation and numeric ordering — can you process the item_price field and give me both reports?"},{"title":"Quantity Weight Ranking Analysis","prompt":"Can you take my 120 basket observation rows and apply string normalisation plus numeric row ordering on the quantity_weight field? The rows have dates, regions, and weight values I want ordered and cleaned."},{"title":"Economics Dataset Preparation","prompt":"I need to clean up my economics basket dataset before analysis — please normalise the strings and produce a numeric ordering report for item_price across my 80 regional observation rows."}],"resultDescription":"Two analytical reports: (1) a string normalisation report for the supplied row data (region, date fields), and (2) a numeric row ordering report for the selected numeric field (item_price or quantity_weight), both computed locally without external lookups.","failureModes":["Exceeds 200 row limit — request rejected","Invalid date format (must match YYYY-MM-DD pattern) — validation error","Missing required fields (row_id, region, date) — schema validation failure","Null numeric values in selected field may affect ordering output","Field selector not in enum ['item_price','quantity_weight'] — rejected"],"whenToPreferThis":"Choose this endpoint when you need lightweight, deterministic string normalisation and numeric ordering on price basket observation records (item_price or quantity_weight) for up to 200 rows, with no need for live data lookup, prediction, or external enrichment. At $0.01 USDC for two reports, it is cost-effective for batch data cleaning and ordering tasks on economics or retail pricing datasets.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:49:54.611Z","isFirstParty":false,"canonicalSlug":"price-basket-observations-string-normalisation-numeric-row-ordering-0a07f32c"}