{"uid":"cap_FY3xaJaJ40lYCwbEcBlaP","slug":"compositing-graphs-string-normalisation-exact-row-deduplication-afb0ad67","name":"Compositing Graphs — String Normalisation + Exact Row Deduplication","description":"Compositing graphs — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication for supplied compositing graphs records (node_count, render_seconds). 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-09-020?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","node_count","render_seconds"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"node_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"asset_group":{"type":"string","default":"","maxLength":80},"render_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","node_count":10,"asset_group":"group-a","render_seconds":1},{"date":"2026-10-02","row_id":"row-2","node_count":20,"asset_group":"group-b","render_seconds":2},{"date":"2026-10-03","row_id":"row-3","node_count":15,"asset_group":"group-a","render_seconds":3},{"date":"2026-10-04","row_id":"row-4","node_count":30,"asset_group":"group-b","render_seconds":4}],"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_0Yd6RS8dHFCbWjjWRtv4o","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":"Cleans and deduplicates compositing graph records (node_count, render_seconds) by normalising strings and removing exact duplicate rows, returning two analytical reports.","exampleAgentPrompt":"Can you clean up my compositing graph data — I have up to 200 rows with node counts and render seconds per asset group and date, and I need string normalisation plus exact duplicate row removal, with two summary reports?","exampleUseCases":[{"title":"VFX pipeline data deduplication","prompt":"I've got a batch of compositing graph records from our VFX pipeline — each row has a row_id, asset_group, date, node_count, and render_seconds — and there are duplicate entries and inconsistent string formatting. Can you normalise the strings and remove exact duplicate rows, and give me two reports on what was cleaned up?"},{"title":"Render farm log cleanup","prompt":"Our render farm exported compositing graph logs with up to 150 rows including node_count and render_seconds, but the asset group names aren't consistently cased and there are some exact duplicate records. Please run string normalisation and exact row deduplication and return both analytical reports."},{"title":"Asset group audit before reporting","prompt":"Before I hand off our compositing data to the production team, I want to make sure the asset_group labels are normalised and any exact duplicate rows are removed — the dataset has about 80 rows with dates, node counts, and render seconds. Can you run both cleaning steps and give me the two output reports?"}],"resultDescription":"Returns two independent analytical reports covering: (1) string normalisation applied to text fields (e.g. asset_group) across the supplied rows, and (2) exact row deduplication results identifying and removing fully duplicate records, for up to 200 input rows of compositing graph data.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, asset_group, date, node_count, render_seconds) — validation error","Invalid date format (must match YYYY-MM-DD) — schema validation failure","Empty rows array — minimum 1 item required","node_count or render_seconds values outside allowed numeric range — rejection"],"whenToPreferThis":"Choose this endpoint when you have compositing graph records (with node_count and render_seconds fields) that need both string normalisation and exact row deduplication in a single call, returning two bundled reports for up to 200 rows at a fixed low cost — ideal for pre-processing creative pipeline data before analysis or reporting, without needing external lookups or live data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:48:51.683Z","isFirstParty":false,"canonicalSlug":"compositing-graphs-string-normalisation-exact-row-deduplication-afb0ad67"}