{"uid":"cap__pLNuu0SoS7-UkQMxQbMR","slug":"product-photography-string-normalisation-numeric-row-ordering-c3de2aad","name":"Product Photography String Normalisation & Numeric Row Ordering","description":"Product photography — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering for supplied product photography records (required_images, completed_images). 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-retail-09-025?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","store_group","date","required_images","completed_images"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"store_group":{"type":"string","default":"","maxLength":80},"required_images":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"completed_images":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","store_group":"group-a","required_images":10,"completed_images":1},{"date":"2026-10-02","row_id":"row-2","store_group":"group-b","required_images":20,"completed_images":2},{"date":"2026-10-03","row_id":"row-3","store_group":"group-a","required_images":15,"completed_images":3},{"date":"2026-10-04","row_id":"row-4","store_group":"group-b","required_images":30,"completed_images":4}],"maxItems":200,"minItems":1},"field":{"enum":["required_images","completed_images"],"type":"string","default":"required_images"}}},"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_weyHJxrgV4QsTjnS_ggZF","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":"Normalises store_group strings and orders rows numerically by required_images or completed_images for up to 200 product photography records, returning two analytical reports.","exampleAgentPrompt":"Can you normalise the store group strings and sort my product photography rows by required_images? I have 4 rows: row-1 for group-a on 2026-10-01 with 10 required and 1 completed, row-2 for group-b on 2026-10-02 with 20 required and 2 completed, row-3 for group-a on 2026-10-03 with 15 required and 3 completed, and row-4 for group-b on 2026-10-04 with 30 required and 4 completed.","exampleUseCases":[{"title":"Retail store photography completion audit","prompt":"I have 50 product photography records across different store groups with required_images and completed_images counts — can you normalise the store group names and sort all rows by required_images so I can see which stores have the most outstanding photography work?"},{"title":"E-commerce image backlog prioritisation","prompt":"Here are 80 rows of product photography data with store_group labels that aren't consistently cased — normalise those strings and order the rows by completed_images so I can prioritise which groups are furthest behind."},{"title":"Daily photography progress ranking","prompt":"I've got a week's worth of daily product photography records for groups A and B — please clean up the store_group strings and give me rows ranked by required_images so I can track daily targets numerically."}],"resultDescription":"Two analytical reports: (1) a string normalisation report on the store_group field across all submitted rows, and (2) a numeric row ordering report ranking rows by the selected field (required_images or completed_images). Results are computed locally without any live lookups or external data.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, store_group, date, required_images, completed_images) — validation error","Date field does not match YYYY-MM-DD pattern — schema validation failure","Numeric field values outside allowed range (±1,000,000,000,000) — validation error","Invalid field enum value (must be required_images or completed_images) — rejected","Empty rows array — minItems violation"],"whenToPreferThis":"Choose this endpoint when you need lightweight, deterministic string normalisation and numeric row ordering specifically for product photography records (required_images, completed_images) without requiring any live data lookup, ML prediction, or external API calls. Ideal for small-to-medium batches (up to 200 rows) where you want two consistent local reports at minimal cost ($0.01 USDC). Prefer alternatives if you need duplicate detection, distribution analysis, outlier flagging, or correlation — sibling endpoints on the same platform cover those use cases.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:37:37.792Z","isFirstParty":false,"canonicalSlug":"product-photography-string-normalisation-numeric-row-ordering-c3de2aad"}