{"uid":"cap_xuWY_hxsn7MLrkZma0tAs","slug":"competitor-supplied-prices-duplicate-key-report-daily-sum-series-3c0118f1","name":"Competitor Supplied Prices — Duplicate Key Report + Daily Sum Series","description":"Competitor supplied prices — Duplicate key report + Daily sum series: Duplicate key report + Daily sum series 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-07-060?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_LRhrcrMoZBro6kW53wBTA","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 produce a duplicate key report and a daily sum time series for list_price or package_quantity fields.","exampleAgentPrompt":"Can you run a duplicate key check and daily sum series on these competitor pricing rows — I have about 50 records with row_id, company_group, date, list_price, and package_quantity fields — and analyze the list_price column?","exampleUseCases":[{"title":"Competitor price data quality audit","prompt":"I've got 120 rows of competitor pricing data with columns for row_id, company_group, date, list_price, and package_quantity — can you check them for duplicate keys and also give me a daily sum of list_price so I can spot any repeated entries and see how prices trend day by day?"},{"title":"Daily package quantity aggregation","prompt":"Here are 80 rows of competitor pricing records. I want to see the daily totals for package_quantity across all company groups, and also flag any duplicate row_id and date combinations in the dataset."},{"title":"Multi-vendor pricing timeline analysis","prompt":"I have competitor price data from three company groups — group-a, group-b, and group-c — across about 150 rows. Can you produce a duplicate key report and a daily sum time series for list_price so I can compare trends and catch any data entry mistakes?"}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying rows that share the same key combination, and (2) a daily sum time series aggregating the selected field (list_price or package_quantity) by date — both covering up to 200 input rows.","failureModes":["Input exceeds 200 rows — request will be rejected or truncated","Missing required fields (row_id, company_group, date, list_price, or package_quantity) cause validation errors","Invalid date format (non-YYYY-MM-DD) causes parsing failure","Numeric values outside ±1,000,000,000,000 range rejected","Empty rows array returns an error","Malformed JSON body results in 400 Bad Request"],"whenToPreferThis":"Choose this endpoint when you need both duplicate-key detection and daily aggregation in a single paid call on competitor pricing data with list_price and package_quantity fields, and your dataset fits within 200 rows. It bundles two analytical reports for a flat $0.01 USDC, making it efficient compared to calling separate deduplication and time-series endpoints independently.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:24.240Z","isFirstParty":false,"canonicalSlug":"competitor-supplied-prices-duplicate-key-report-daily-sum-series-3c0118f1"}