{"uid":"cap_N_Hq6y1p8eznPLnRHolaC","slug":"competitor-supplied-prices-record-quality-audit-adjacent-row-changes-97cbf001","name":"Competitor Supplied Prices — Record Quality Audit + Adjacent Row Changes","description":"Competitor supplied prices — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes for supplied competitor supplied prices records (list_price, package_quantity). 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-07-011?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","list_price","package_quantity"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"list_price":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"company_group":{"type":"string","default":"","maxLength":80},"package_quantity":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","list_price":10,"company_group":"group-a","package_quantity":1},{"date":"2026-10-02","row_id":"row-2","list_price":20,"company_group":"group-b","package_quantity":2},{"date":"2026-10-03","row_id":"row-3","list_price":15,"company_group":"group-a","package_quantity":3},{"date":"2026-10-04","row_id":"row-4","list_price":30,"company_group":"group-b","package_quantity":4}],"maxItems":200,"minItems":1},"field":{"enum":["list_price","package_quantity"],"type":"string","default":"list_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_6yLDW480ctLO9e2thqZ6L","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 up to 200 competitor price records: a data quality audit and adjacent-row change detection for list_price or package_quantity fields.","exampleAgentPrompt":"Can you audit this set of competitor price records for data quality issues and also flag any adjacent-row changes in list_price? I have about 50 rows with fields row_id, company_group, date, list_price, and package_quantity.","exampleUseCases":[{"title":"Competitor pricing dataset quality check","prompt":"I just scraped competitor prices from three company groups over the last month — can you run a quality audit on these 80 rows and tell me if there are any data issues in the list_price field? Each row has a row_id, company_group, date, list_price, and package_quantity."},{"title":"Detecting price jumps between consecutive records","prompt":"I need to know where competitor list prices changed significantly between adjacent records in my dataset — run the adjacent row changes report on these 120 competitor price rows grouped by company_group."},{"title":"Package quantity anomaly detection across groups","prompt":"Can you check my competitor package_quantity data for quality problems and also show me where the quantity changes between consecutive rows? I have 60 records with company groups A, B, and C across October 2026."}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit identifying data issues such as nulls, out-of-range values, or format problems in the supplied competitor price rows; and (2) an adjacent row changes report showing how list_price or package_quantity values shift between consecutive records. Both reports are computed locally without external lookups, covering up to 200 input rows.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, company_group, date, list_price, package_quantity) in one or more rows — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","field enum value not one of 'list_price' or 'package_quantity' — rejected","Empty rows array — minimum 1 item required","Numeric values outside allowed range (-1e12 to 1e12) — schema rejection"],"whenToPreferThis":"Choose this endpoint when you have a batch of up to 200 competitor price records (with list_price and package_quantity) and need both a data quality audit and adjacent-row change detection in a single low-cost call. It is ideal for offline or periodic analysis of collected competitor data rather than real-time price monitoring. Prefer it over general-purpose analytics when you specifically need the dual-report (quality + sequential change) output format for pricing datasets organized by company group and date.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:03.544Z","isFirstParty":false,"canonicalSlug":"competitor-supplied-prices-record-quality-audit-adjacent-row-changes-97cbf001"}