{"uid":"cap_KmR-d8plm6-gxY0Ynl0yh","slug":"competitor-supplied-prices-record-quality-audit-string-normalisation-27739af3","name":"Competitor Supplied Prices — Record Quality Audit, String Normalisation & IQR Outlier Flags","description":"Competitor supplied prices — Record quality audit + String normalisation + IQR outlier flags: Record quality audit + String normalisation + IQR outlier flags 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-07-203?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_CvyZRMqDXR24Qy0pRdBc_","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":"Audits up to 200 rows of competitor price data for record quality issues, normalises strings, and flags statistical outliers using IQR analysis across list_price and package_quantity fields.","exampleAgentPrompt":"Can you run a full quality audit on this batch of competitor price records — check for string issues, flag any IQR outliers in the list_price field, and give me all three reports? I have up to 50 rows with row IDs, company groups, dates, list prices, and package quantities.","exampleUseCases":[{"title":"Retail competitor pricing data clean-up","prompt":"I've scraped 120 rows of competitor price data with columns for row_id, company_group, date, list_price, and package_quantity — can you audit them for record quality problems, normalise any messy strings, and flag which list_price values are IQR outliers?"},{"title":"Detecting anomalous package quantities","prompt":"We have 80 competitor pricing records and I'm worried some package_quantity values look wrong — can you run the IQR outlier check and record quality audit on those rows so I can see which ones are suspicious?"},{"title":"Pre-analysis data validation for pricing team","prompt":"Before our pricing team analyses this competitor dataset of 200 rows, can you do a full quality audit, fix up any string normalisation issues, and produce the IQR outlier flags for list_price so we know which records to trust?"}],"resultDescription":"Three independent analytical reports covering: (1) a record quality audit identifying missing, malformed, or inconsistent fields; (2) a string normalisation report highlighting and correcting formatting issues in text fields; and (3) IQR outlier flags identifying statistical anomalies in the selected numeric field (list_price or package_quantity) across all submitted rows.","failureModes":["Rows array empty or missing — validation error returned","More than 200 rows submitted — request rejected with limit error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Field selector not one of 'list_price' or 'package_quantity' — enum validation error","Missing required fields (row_id, company_group, date) on any row — partial or full rejection","Numeric values outside allowed range — validation error"],"whenToPreferThis":"Choose this endpoint when you have a batch of up to 200 competitor price records that need simultaneous data quality auditing, string normalisation, and IQR-based outlier detection — all in a single call for $0.01 USDC. Ideal for pre-processing competitor pricing datasets before downstream analysis, when you need three distinct diagnostic reports without making external lookups or predictions. Prefer this over manual inspection or single-purpose validators when you need all three reports in one operation on structured competitor pricing data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:02.752Z","isFirstParty":false,"canonicalSlug":"competitor-supplied-prices-record-quality-audit-string-normalisation-27739af3"}