{"uid":"cap_zkh1J0c_t62xKGkg4FR0K","slug":"competitor-supplied-prices-record-quality-audit-string-normalisation-73887c0b","name":"Competitor Supplied Prices — Record Quality Audit + String Normalisation + Base-100 Series","description":"Competitor supplied prices — Record quality audit + String normalisation + Base-100 series: Record quality audit + String normalisation + Base-100 series 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-07-201?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_QRPhznsNwi3CVr7laeyOD","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 three analytical reports (record quality audit, string normalisation, and base-100 rebase series) on up to 200 rows of competitor-supplied price data (list_price, package_quantity) using local engines with no external lookups.","exampleAgentPrompt":"Can you run a full data quality audit, string normalisation, and base-100 rebase on my competitor price records — here are 50 rows with row_id, company_group, date, and list_price fields — use list_price as the target field and row index 0 as the base?","exampleUseCases":[{"title":"Competitor pricing data quality check","prompt":"I've collected 120 rows of competitor pricing data with list_price and package_quantity fields — can you run a record quality audit on them, normalise any string issues, and produce a base-100 series indexed from the first row using list_price?"},{"title":"Retail price index benchmarking","prompt":"I need to rebase our competitor's package_quantity data to a base-100 series starting at row index 5, and also check the dataset for record quality problems and string formatting issues — there are about 80 rows total."},{"title":"Supply chain price dataset validation","prompt":"Before we import these 200 competitor price records into our dashboard, can you run the three-report suite — record quality audit, string normalisation, and base-100 rebase — on the list_price field so we can catch any bad data first?"}],"resultDescription":"Three independent analytical reports delivered together: (1) a record quality audit flagging malformed, missing, or suspicious entries across the supplied rows; (2) a string normalisation report identifying and standardising inconsistent string values in company_group and date fields; and (3) a base-100 rebase series for the selected numeric field (list_price or package_quantity) anchored at the specified base row index. All computed locally with no external data lookups.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — exceeds maximum batch size","base_index out of range for the supplied row count — validation error","Invalid date format in rows (must match YYYY-MM-DD pattern) — schema validation failure","Numeric values outside allowed range (-1T to +1T) — schema rejection","Missing required fields (row_id, company_group, date, list_price, package_quantity) — validation error","Payment of 0.01 USDC not included or invalid — 402 response"],"whenToPreferThis":"Choose this endpoint when you have a batch of competitor pricing records (up to 200 rows) and need all three of: a data quality audit, string normalisation, and a base-100 index series in a single paid call. It is more cost-effective than calling separate single-report endpoints. Prefer it over generic data quality tools when your data specifically involves list_price and package_quantity fields from competitor sources and you want competitive pricing analytics rather than general-purpose ETL.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:00.984Z","isFirstParty":false,"canonicalSlug":"competitor-supplied-prices-record-quality-audit-string-normalisation-73887c0b"}