{"uid":"cap_OOq6kLwJWyxCIoFOH6CRo","slug":"competitor-supplied-prices-string-normalisation-iqr-outlier-flags-b0792871","name":"Competitor Supplied Prices — String Normalisation + IQR Outlier Flags","description":"Competitor supplied prices — String normalisation + IQR outlier flags: String normalisation + IQR outlier flags 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-07-032?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_pP9M1FesiZiM1xWtC9mJC","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":"Normalises string fields and flags IQR-based outliers in competitor price records (list_price, package_quantity) for up to 200 rows, returning 2 analytical reports.","exampleAgentPrompt":"Can you run string normalisation and IQR outlier detection on these competitor price records — I have up to 50 rows with list_price and package_quantity fields, grouped by company, and I want both reports back for the list_price field?","exampleUseCases":[{"title":"Competitor price anomaly detection","prompt":"I have 120 rows of competitor pricing data with list_price and package_quantity from three company groups — can you normalise the strings and flag any IQR outliers in the list_price column so I can spot unusual pricing?"},{"title":"Package quantity outlier audit","prompt":"Run an IQR outlier check on the package_quantity field across these 80 competitor product records I'm supplying — also include the string normalisation report so I can clean the data before importing it."},{"title":"Multi-group price data validation","prompt":"Before I merge these competitor price feeds into our database, can you validate the list_price values across company groups A, B, and C — normalise the strings and tell me which rows are statistical outliers based on IQR?"}],"resultDescription":"Two analytical reports: (1) a string normalisation report cleaning the specified field values across submitted rows, and (2) an IQR outlier flags report identifying rows whose list_price or package_quantity values fall outside the interquartile range. Reports cover up to 200 input rows and are computed locally with no external lookups.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, company_group, date, list_price, package_quantity) — validation error","Invalid date format (not YYYY-MM-DD) — schema rejection","Field selector not in allowed enum (list_price, package_quantity) — error","All values null for selected field — IQR computation not possible","Payment not processed — 402 response, no report returned"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of competitor-supplied pricing records and need both string normalisation and IQR-based outlier detection in a single call at low cost ($0.01 USDC). Ideal for pre-ingestion data quality checks on competitor price feeds where no live lookup, prediction, or external data enrichment is needed — purely local analytical processing on your supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:23.910Z","isFirstParty":false,"canonicalSlug":"competitor-supplied-prices-string-normalisation-iqr-outlier-flags-b0792871"}