{"uid":"cap_yqinxGEzVyBTdWOnh9yfz","slug":"competitor-supplied-prices-iqr-outlier-flags-explicit-missing-value-239b224a","name":"Competitor Supplied Prices — IQR Outlier Flags + Explicit Missing-Value Fill","description":"Competitor supplied prices — IQR outlier flags + Explicit missing-value fill: IQR outlier flags + Explicit missing-value fill 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-07-180?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_GDJYnn6f0ezT1NtJI0LhK","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":"Analyzes up to 200 rows of competitor price data to flag IQR-based outliers and fill missing values using zero, mean, or median imputation for list_price or package_quantity fields.","exampleAgentPrompt":"I have up to 200 rows of competitor pricing records with list_price and package_quantity fields — can you flag any IQR outliers and fill in the missing list_price values using median imputation?","exampleUseCases":[{"title":"Retail competitor price audit","prompt":"I've collected pricing data from three competitor groups over the last quarter and some list_price values are missing or look suspiciously high — can you flag the IQR outliers and fill the nulls with median for all rows?"},{"title":"Package quantity anomaly detection","prompt":"Run an IQR outlier check and zero-fill any missing package_quantity values across these competitor pricing records for groups A and B — I have about 150 rows dated from 2026-01-01 onward."},{"title":"Pre-analysis data cleaning pipeline","prompt":"Before I run my pricing model, I need to clean this competitor dataset: flag statistical outliers using IQR and impute missing list_prices with the mean — here are 80 rows grouped by company_group with dates."}],"resultDescription":"Returns two independent analytical reports: (1) IQR outlier flags identifying which rows have list_price or package_quantity values outside the interquartile range, and (2) a dataset with explicit missing values filled using the chosen method (zero, mean, or median). No external data is fetched; all analysis is performed locally on the supplied rows.","failureModes":["Fewer than 1 row provided — request rejected","More than 200 rows submitted — exceeds limit","Invalid date format (not YYYY-MM-DD) — schema validation error","Unrecognized fill method or field enum value — schema validation error","Missing required fields (row_id, company_group, date) — validation failure","Insufficient data spread to compute meaningful IQR (e.g. all identical values)"],"whenToPreferThis":"Use this endpoint when you have a batch of up to 200 competitor pricing records and need both outlier detection (IQR-based) and missing-value imputation in one call. Ideal for pre-processing pipelines before modeling or reporting. Prefer this over generic statistical tools when you need two structured reports (outlier flags + filled data) together at low cost ($0.01 USDC). Not suitable for real-time price lookups, predictions, or datasets exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:44.557Z","isFirstParty":false,"canonicalSlug":"competitor-supplied-prices-iqr-outlier-flags-explicit-missing-value-239b224a"}