{"uid":"cap_jYdem3lrvLaxjHWBTLXZl","slug":"competitor-supplied-prices-record-quality-audit-exact-row-a5c000cd","name":"Competitor Supplied Prices — Record Quality Audit + Exact Row Deduplication + Numeric Distribution","description":"Competitor supplied prices — Record quality audit + Exact row deduplication + Numeric distribution: Record quality audit + Exact row deduplication + Numeric distribution 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-07-210?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_JThEpnw-b-qdmXBHI_0DV","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 record quality, deduplicates exact rows, and computes numeric distribution for up to 200 competitor price records across list_price and package_quantity fields.","exampleAgentPrompt":"Can you run a record quality audit, exact row deduplication, and numeric distribution analysis on this batch of competitor pricing data I have — it has list_price and package_quantity fields, up to 200 rows across company groups like 'group-a' and 'group-b' with dates like 2026-10-01?","exampleUseCases":[{"title":"Clean competitor price dataset before modeling","prompt":"I scraped pricing data from three competitors with list_price and package_quantity columns — can you audit the record quality, remove exact duplicate rows, and show me the numeric distribution for list_price? I have about 150 rows across company groups 'alpha', 'beta', and 'gamma' with dates ranging from 2026-09-01 to 2026-09-30."},{"title":"Validate pricing data completeness for a report","prompt":"Before I put together the quarterly pricing report, I need to check this competitor price dataset for data quality issues, exact duplicates, and how the package_quantity values are distributed — can you run all three reports? There are roughly 80 rows from company groups 'enterprise' and 'smb' covering dates in October 2026."},{"title":"Profile competitor list prices for category review","prompt":"I have 200 rows of competitor supplied price records with company_group, date, list_price, and package_quantity — please run the record quality audit, deduplicate any exact repeated rows, and give me the numeric distribution for list_price so I can see how prices cluster across groups."}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging missing, malformed, or out-of-range values; (2) an exact row deduplication report identifying and removing fully identical rows; and (3) a numeric distribution summary (e.g. min, max, mean, percentiles, histogram) for the selected numeric field (list_price or package_quantity). All computed locally on the supplied data with no external lookups.","failureModes":["Input array is empty or exceeds 200 rows — rejected with validation error","Required fields (row_id, company_group, date, list_price, package_quantity) missing from one or more rows — report flags incomplete records","Date fields not matching YYYY-MM-DD pattern — schema validation failure","Numeric fields outside allowed range (-1e12 to 1e12) — schema rejection","All rows are null for numeric field — distribution report may return empty or undefined statistics","Payment of 0.01 USDC not completed — request blocked by x402 payment gate"],"whenToPreferThis":"Choose this endpoint when you have a batch of raw competitor pricing records (up to 200 rows) and need three simultaneous analytical passes — quality audit, deduplication, and numeric distribution — in a single low-cost call. Prefer it over building custom scripts when you want a fast, deterministic profiling step before downstream modeling or reporting. Not suitable if you need live price lookups, predictions, or external data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:16.660Z","isFirstParty":false,"canonicalSlug":"competitor-supplied-prices-record-quality-audit-exact-row-a5c000cd"}