{"uid":"cap_Gai48aTfyQxDIMjZIyGQJ","slug":"asset-revisions-string-normalisation-duplicate-key-report-ccd908ab","name":"Asset Revisions String Normalisation & Duplicate Key Report","description":"Asset revisions — String normalisation + Duplicate key report: String normalisation + Duplicate key report for supplied asset revisions records (revision_count, rework_hours). 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-creative-14-021?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","revision_count","rework_hours"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"asset_group":{"type":"string","default":"","maxLength":80},"rework_hours":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"revision_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","asset_group":"group-a","rework_hours":1,"revision_count":10},{"date":"2026-10-02","row_id":"row-2","asset_group":"group-b","rework_hours":2,"revision_count":20},{"date":"2026-10-03","row_id":"row-3","asset_group":"group-a","rework_hours":3,"revision_count":15},{"date":"2026-10-04","row_id":"row-4","asset_group":"group-b","rework_hours":4,"revision_count":30}],"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_LIIcFEDeL4yXzFR_k2Ta7","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 asset revision records (revision_count, rework_hours) for up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Can you normalize the string fields and check for duplicate keys in my asset revision data? I have about 50 rows with fields like row_id, asset_group, date, revision_count, and rework_hours — here's the dataset.","exampleUseCases":[{"title":"Asset log data quality audit","prompt":"I have 120 rows of asset revision records with asset_group names, dates, revision counts, and rework hours. Can you normalize the string fields and flag any duplicate row IDs or asset_group keys across the dataset?"},{"title":"Rework hours deduplication check","prompt":"Before I merge these asset revision logs into our main database, can you run a duplicate key check and string normalisation on this batch of 80 records? The fields are row_id, asset_group, date, revision_count, and rework_hours."},{"title":"Creative project revision cleanup","prompt":"I've exported 45 revision records from our creative asset tracker — each has a row_id, asset_group, date, revision_count, and rework_hours. Can you normalize the text fields and tell me if there are any duplicate keys I need to resolve?"}],"resultDescription":"Returns two independent reports: (1) a string normalisation report showing cleaned/standardised string values for the text fields in each row, and (2) a duplicate key report identifying any rows sharing the same key fields, covering up to 200 input rows of asset revision data.","failureModes":["More than 200 rows submitted — endpoint rejects input exceeding the maxItems limit","Missing required fields (row_id, asset_group, date, revision_count, or rework_hours) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Empty rows array returns an error due to minItems:1 constraint","Payment of 0.01 USDC not fulfilled causes 402 response"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and duplicate key detection on asset revision records in a single low-cost call (0.01 USDC for both reports). It is ideal for offline/batch data quality checks on up to 200 rows without needing live lookups, predictions, or external integrations. Prefer it over general-purpose ETL tools when you want a lightweight, payment-gated analytical pass on structured revision data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T19:09:25.546Z","isFirstParty":false,"canonicalSlug":"asset-revisions-string-normalisation-duplicate-key-report-ccd908ab"}