{"uid":"cap_5GoLiDSnNlLr-ATlchT40","slug":"competitor-supplied-prices-record-quality-audit-numeric-distribution-e0576b05","name":"Competitor Supplied Prices — Record Quality Audit + Numeric Distribution","description":"Competitor supplied prices — Record quality audit + Numeric distribution: Record quality audit + Numeric distribution 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-07-004?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_8xrsA5qEG84_gbpE2bRil","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 two local analytical reports (record quality audit and numeric distribution) on up to 200 rows of competitor-supplied pricing data covering list_price and package_quantity fields.","exampleAgentPrompt":"Can you run a record quality audit and numeric distribution report on this competitor pricing dataset — I have up to 200 rows with list_price and package_quantity fields for a few company groups, and I want to profile the list_price column specifically?","exampleUseCases":[{"title":"Competitor pricing data quality check","prompt":"I just received a batch of competitor price data with about 150 rows — each row has a row_id, company_group, date, list_price, and package_quantity. Can you audit the record quality and show me the numeric distribution for the list_price field so I know if there are gaps or anomalies before I use it?"},{"title":"Package quantity distribution analysis","prompt":"I've collected 80 rows of competitor supplied pricing records across two company groups and I need a numeric distribution report on the package_quantity field — can you profile that column and flag any quality issues in the records?"},{"title":"Pre-analysis data profiling for pricing model","prompt":"Before I build a pricing model, I want to sanity-check my competitor data — I have 200 rows with list_price and package_quantity per company group. Run a record quality audit and numeric distribution analysis on the list_price column so I can see where the data stands."}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit covering completeness, nulls, and validity for the supplied rows, and (2) a numeric distribution summary (e.g. min, max, mean, percentiles, histogram buckets) for the selected field (list_price or package_quantity). Both reports are computed locally with no external lookups.","failureModes":["Fewer than 1 row or more than 200 rows submitted — request rejected","Missing required fields (row_id, company_group, date, list_price, or package_quantity) on any row — validation error","Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure","Field selector not in enum ['list_price', 'package_quantity'] — rejected","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — schema error","Payment of 0.01 USDC not processed — 402 Payment Required response"],"whenToPreferThis":"Choose this endpoint when you have a batch of up to 200 competitor-supplied pricing records and need both a data quality audit and a numeric distribution profile in a single low-cost call. It is ideal for pre-processing validation before downstream analytics, and when you want purely local computation with no external data lookups or live pricing APIs involved.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:44:52.230Z","isFirstParty":false,"canonicalSlug":"competitor-supplied-prices-record-quality-audit-numeric-distribution-e0576b05"}