{"uid":"cap_fHVJSwjVUxO_7i8JWURM4","slug":"competitor-supplied-prices-category-frequencies-iqr-outlier-flags-e827f426","name":"Competitor Supplied Prices — Category Frequencies + IQR Outlier Flags","description":"Competitor supplied prices — Category frequencies + IQR outlier flags: Category frequencies + 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-07-107?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_rn3xLJ4UCy2ovKik2pBzY","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 pricing data by computing category frequencies and flagging IQR-based outliers for list_price or package_quantity fields.","exampleAgentPrompt":"Run category frequency analysis and IQR outlier detection on these competitor price records — the field I care about is list_price — here are 4 rows: row-1 group-a 2026-10-01 price 10 qty 1, row-2 group-b 2026-10-02 price 20 qty 2, row-3 group-a 2026-10-03 price 15 qty 3, row-4 group-b 2026-10-04 price 200 qty 4.","exampleUseCases":[{"title":"Spot anomalous competitor list prices","prompt":"I have 150 rows of competitor pricing records with company groups and dates — can you run IQR outlier detection on the list_price field and tell me which entries look statistically abnormal?"},{"title":"Audit package quantity distributions by supplier","prompt":"Check my competitor supply dataset for category frequency breakdowns and flag any package_quantity values that are outliers using IQR — I'll give you the full 80-row dataset."},{"title":"Weekly competitive price sanity check","prompt":"Every week I pull competitor price records. Can you analyze this week's batch of 60 rows for category frequencies by company group and flag any list_price outliers so I can spot data issues before I use the numbers?"}],"resultDescription":"Returns two independent analytical reports: (1) category frequency counts showing how often each company_group value appears in the dataset, and (2) IQR-based outlier flags identifying which rows have statistically anomalous values in the selected numeric field (list_price or package_quantity). No external lookups or predictions — pure local statistical computation on the supplied rows.","failureModes":["Fewer than 1 row submitted — minItems:1 violation returns validation error","More than 200 rows submitted — maxItems:200 exceeded returns validation error","Missing required fields (row_id, company_group, date, list_price, package_quantity) causes schema rejection","Invalid date format (not YYYY-MM-DD) causes pattern validation failure","Field selector value not in enum ['list_price','package_quantity'] causes rejection","Null numeric values may reduce IQR computation accuracy if too prevalent"],"whenToPreferThis":"Choose this endpoint when you have a batch of competitor pricing records (up to 200 rows) and need both a group-level frequency summary and statistical outlier detection in one call. It is ideal for lightweight, self-contained data quality audits on competitive price feeds where no external data enrichment or live lookup is needed. Prefer it over general-purpose analytics tools when you want a single low-cost ($0.01 USDC) call that returns two pre-defined reports without configuring a full analytics pipeline.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:05.711Z","isFirstParty":false,"canonicalSlug":"competitor-supplied-prices-category-frequencies-iqr-outlier-flags-e827f426"}