{"uid":"cap_5XSX2P_EW1KNmeUavW95d","slug":"competitor-supplied-prices-record-quality-audit-string-normalisation-76108124","name":"Competitor Supplied Prices — Record Quality Audit + String Normalisation + Trailing Mean Series","description":"Competitor supplied prices — Record quality audit + String normalisation + Trailing mean series: Record quality audit + String normalisation + 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-07-199?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_gnfmjfrgp2tshMGZzZBrF","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 analytical reports on competitor price data: record quality audit, string normalisation, and trailing mean series for list_price or package_quantity fields, across up to 200 rows.","exampleAgentPrompt":"Can you run a full quality audit, string normalisation, and trailing mean series (window of 3) on these competitor price rows I'm uploading — checking the list_price field across my company groups for dates in October 2026?","exampleUseCases":[{"title":"Pre-analysis data quality check","prompt":"I've got up to 150 rows of competitor pricing data with list_price and package_quantity — can you run the record quality audit and string normalisation reports on them before I feed them into my pricing model?"},{"title":"Trailing mean for competitor list prices","prompt":"Run a trailing mean series with a window of 5 on the list_price field for these competitor records — I want to see the rolling average trend across my company groups."},{"title":"Spot string inconsistencies in company groups","prompt":"Can you normalise the company_group strings in my competitor pricing dataset and flag any formatting inconsistencies or bad records? I have about 80 rows to check."}],"resultDescription":"Three independent analytical reports returned together: (1) a record quality audit flagging missing, null, or out-of-range values in list_price and package_quantity; (2) a string normalisation report identifying and cleaning inconsistencies in company_group labels; (3) a trailing mean series for the selected numeric field (list_price or package_quantity) over the specified window size, computed locally without any external lookups.","failureModes":["Input array is empty or exceeds 200 rows — validation error returned","Invalid date format (not YYYY-MM-DD) in any row — schema rejection","Selected field value not in enum ['list_price', 'package_quantity'] — schema error","Window size outside 2–200 range — validation failure","Malformed numeric values beyond allowed range — rejection","Missing required fields (row_id, company_group, date) — schema validation error"],"whenToPreferThis":"Choose this endpoint when you have a batch of up to 200 competitor pricing records and need simultaneous data quality auditing, string normalisation of categorical labels, and rolling statistical analysis — all in one paid call at $0.01 USDC. It is ideal for pre-processing competitor pricing data before modelling or reporting, especially when you want three complementary analytical views without multiple round-trips. Prefer this over single-purpose audit or normalisation tools when all three report types are needed together.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:08.277Z","isFirstParty":false,"canonicalSlug":"competitor-supplied-prices-record-quality-audit-string-normalisation-76108124"}