{"uid":"cap_QZLpGu2yv7dhQ_odnuTiM","slug":"price-basket-observations-string-normalisation-category-frequencies-c26647ac","name":"Price Basket Observations — String Normalisation + Category Frequencies","description":"Price basket observations — String normalisation + Category frequencies: String normalisation + Category frequencies 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-07-024?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}}},"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_kMrPELsu-hRMd4c9a6Dg6","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 two local analytical reports on price basket observation rows: string normalisation and category frequency analysis for item_price and quantity_weight fields.","exampleAgentPrompt":"I have 4 price basket observation rows for regions group-a and group-b from October 2026 — can you run string normalisation and category frequency analysis on the item_price and quantity_weight fields and give me the two reports?","exampleUseCases":[{"title":"Retail pricing data quality audit","prompt":"I've got 150 rows of supermarket price basket observations with item prices and quantity weights across 5 regions from Q3 2025 — can you normalise the string fields and give me category frequency counts so I can spot data quality issues?"},{"title":"Regional price category distribution","prompt":"Here are 80 price basket records across regions north, south, and central with dates in 2026 — run category frequency analysis on the item_price and quantity_weight columns so I can see how prices are distributed across regions."},{"title":"Standardising basket data before aggregation","prompt":"Before I aggregate my pricing data, can you normalise the string fields and produce a category frequency report for these 60 price basket observation rows covering item prices and weights from January to March 2026?"}],"resultDescription":"Two analytical reports: (1) a string normalisation report cleaning and standardising text/string fields in the submitted rows, and (2) a category frequency report showing counts and distributions of values in item_price and quantity_weight fields — all computed locally without external lookups, covering up to 200 input rows.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, region, date, item_price, quantity_weight) cause row-level rejection","Malformed date strings not matching YYYY-MM-DD pattern fail schema validation","Null values in item_price or quantity_weight are accepted but may reduce report completeness","Empty rows array rejected by minItems:1 constraint"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local statistical analysis of price basket observation data — specifically string normalisation and category frequency reporting — without requiring external API lookups, predictions, or live data. It is well-suited for small-to-medium batch analysis (up to 200 rows) of structured pricing records with region and date dimensions, and is cost-effective at $0.01 for two simultaneous reports.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:34:04.359Z","isFirstParty":false,"canonicalSlug":"price-basket-observations-string-normalisation-category-frequencies-c26647ac"}