{"uid":"cap_oHTBtfKTGUVLzFISJOhCP","slug":"price-basket-observations-record-quality-audit-category-frequencies-499fd7a4","name":"Price Basket Observations — Record Quality Audit + Category Frequencies","description":"Price basket observations — Record quality audit + Category frequencies: Record quality audit + 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-07-006?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__4kdkQdVvd1jrghEhQBpP","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 a record quality audit and category frequency analysis on up to 200 price basket observation rows (item_price, quantity_weight), returning two independent analytical reports.","exampleAgentPrompt":"Can you audit the quality of these price basket records and give me a category frequency breakdown? I have up to 200 rows with fields like row_id, region, date, item_price, and quantity_weight — I want to know which rows have missing or bad values and how the categories are distributed.","exampleUseCases":[{"title":"Retail pricing data quality check","prompt":"I have 150 rows of store price observations with item_price and quantity_weight fields — can you run a quality audit to flag any nulls, out-of-range values, or malformed dates, and also show me how frequently each region appears in the dataset?"},{"title":"Economics dataset validation before analysis","prompt":"Before I run my regression, can you audit these 80 price basket records for data quality issues and give me a frequency count of each category like region and date so I can spot imbalances?"},{"title":"Basket survey response review","prompt":"We collected 200 basket survey responses with item prices and weights across group-a and group-b regions — can you check the record quality and tell me how often each region and date shows up in the data?"}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit detailing completeness, validity, and data issues per row across item_price and quantity_weight fields; and (2) a category frequency report showing how often each distinct category value (e.g. region, date) appears across the supplied rows. Both reports are computed locally with no external lookups.","failureModes":["Input array is empty (minItems:1 not met) — validation error","More than 200 rows submitted — request rejected (maxItems:200)","Missing required fields (row_id, region, date, item_price, quantity_weight) on any row — validation error","Date field does not match YYYY-MM-DD format — pattern validation failure","item_price or quantity_weight outside allowed numeric range — rejected","Payment of 0.01 USDC not fulfilled — 402 Payment Required response"],"whenToPreferThis":"Choose this endpoint when you have tabular price basket observation data (with item_price and quantity_weight fields) and need both a data quality audit and category frequency summary in a single $0.01 call. It is ideal for pre-analysis validation of economics or retail datasets of up to 200 rows where no live lookup, external enrichment, or prediction is needed — purely local analytical computation.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:31:38.307Z","isFirstParty":false,"canonicalSlug":"price-basket-observations-record-quality-audit-category-frequencies-499fd7a4"}