{"uid":"cap_PobtPuDeZwTo3ikL_9UbO","slug":"competitor-supplied-prices-string-normalisation-duplicate-key-report-f3f91b6e","name":"Competitor Supplied Prices — String Normalisation + Duplicate Key Report","description":"Competitor supplied prices — String normalisation + Duplicate key report: String normalisation + Duplicate key report 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-07-021?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}}},"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_O1MSU5FGDJzlUicZeRofv","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 string normalisation and duplicate key detection on up to 200 competitor price records (list_price, package_quantity), returning two independent analytical reports.","exampleAgentPrompt":"Can you run a string normalisation check and duplicate key report on these competitor price records? I have about 50 rows, each with a row_id, company_group, date, list_price, and package_quantity — I want to catch any duplicates and clean up inconsistent string formatting.","exampleUseCases":[{"title":"Pre-analysis competitor price cleanup","prompt":"I've got a CSV of 120 competitor price entries with row_id, company_group, date, list_price, and package_quantity — can you normalise the string fields and flag any duplicate keys before I load this into my model?"},{"title":"Duplicate detection in pricing database","prompt":"We pulled 80 rows of competitor pricing data and suspect some entries are duplicated across company groups and dates — can you run a duplicate key report on list_price and package_quantity fields?"},{"title":"Data quality audit before pricing report","prompt":"Before I publish our weekly competitor pricing summary, can you check these 150 rows for string normalisation issues and any duplicate row IDs across company_group and date combinations?"}],"resultDescription":"Two independent reports: (1) a string normalisation report identifying and correcting inconsistent string formatting in text fields across up to 200 rows, and (2) a duplicate key report flagging rows with duplicate combinations of key fields (e.g. row_id, company_group, date) within the supplied competitor price dataset.","failureModes":["Exceeding 200 rows results in rejection — keep input to maxItems limit","Missing required fields (row_id, company_group, date, list_price, package_quantity) per row causes validation error","Invalid date format (must match YYYY-MM-DD pattern) triggers schema rejection","Numeric fields outside allowed range (±1,000,000,000,000) will fail validation","Empty rows array (minItems: 1) returns an error"],"whenToPreferThis":"Choose this endpoint when you need simultaneous string normalisation and duplicate key detection on competitor pricing records (list_price, package_quantity) in a single low-cost call. Ideal for pre-processing batches of up to 200 rows before downstream analytics or reporting. Not suitable for live price lookups, predictions, or datasets larger than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:02.364Z","isFirstParty":false,"canonicalSlug":"competitor-supplied-prices-string-normalisation-duplicate-key-report-f3f91b6e"}