{"uid":"cap_WsQOlKmXcuYRqBy5nHhTr","slug":"competitor-supplied-prices-record-quality-audit-exact-row-87c08970","name":"Competitor Supplied Prices — Record Quality Audit + Exact Row Deduplication + Trailing Mean Series","description":"Competitor supplied prices — Record quality audit + Exact row deduplication + Trailing mean series: Record quality audit + Exact row deduplication + Trailing mean series for supplied competitor supplied prices records (list_price, package_quantity). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-company-07-216?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_vNorSsIn3aD7XgeQQs0tj","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 three local analytical reports on up to 200 rows of competitor price data: a record quality audit, exact row deduplication, and a trailing mean series for list_price or package_quantity.","exampleAgentPrompt":"Can you audit this batch of competitor price records for quality issues, remove any exact duplicate rows, and compute a trailing mean with a window of 3 for list_price? I have up to 50 rows with fields row_id, company_group, date, list_price, and package_quantity.","exampleUseCases":[{"title":"Competitor price data cleanup before analysis","prompt":"I've scraped 120 rows of competitor pricing data with columns row_id, company_group, date, list_price, and package_quantity — can you run a quality audit, strip out any exact duplicate rows, and give me a trailing mean series for list_price using a window of 5?"},{"title":"Rolling average for package quantity trends","prompt":"Take these 80 competitor price records and calculate a trailing mean series for package_quantity with a window of 4, plus flag any record quality problems and duplicates in the dataset."},{"title":"Data validation before pricing model ingestion","prompt":"Before I feed this competitor pricing dataset into my model, can you audit record quality, deduplicate exact matches, and compute a 7-period trailing mean on list_price? There are about 150 rows with the standard company_group and date fields."}],"resultDescription":"Returns three independent reports: (1) a record quality audit flagging malformed, null, or out-of-range values; (2) an exact row deduplication report identifying and removing duplicate records; and (3) a trailing mean series for the selected numeric field (list_price or package_quantity) computed with the specified window size. All processing is local with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows submitted — rejected with validation error","Missing required fields (row_id, company_group, date, list_price, package_quantity) — schema validation failure","Invalid date format (not YYYY-MM-DD) — rejected","Window size outside 2–200 range — rejected","Field value not in enum [list_price, package_quantity] — rejected","Payment not provided or insufficient — 402 error returned"],"whenToPreferThis":"Choose this endpoint when you need three complementary data quality and statistical reports on a batch of competitor pricing records in a single call at minimal cost. It is ideal for preprocessing raw competitive price data before analysis or ingestion into a pricing model, especially when you need deduplication, quality flagging, and a rolling average in one shot without any external data lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:18.938Z","isFirstParty":false,"canonicalSlug":"competitor-supplied-prices-record-quality-audit-exact-row-87c08970"}