{"uid":"cap_yl3bXHAaXOIH6SXmBw5I8","slug":"compositing-graphs-record-quality-audit-and-string-normalisation-bb15c132","name":"Compositing Graphs Record Quality Audit and String Normalisation","description":"Compositing graphs — Record quality audit + String normalisation: Record quality audit + String normalisation 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-09-001?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_P61xK5d9pClDsQaeDAomL","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":"Performs record quality audit and string normalisation on supplied compositing graph records (node_count, render_seconds) for up to 200 rows, returning 2 independent analytical reports.","exampleAgentPrompt":"Can you audit the quality of these compositing graph records and normalise the string fields? I have 4 rows with asset groups like 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, node counts of 10, 20, 15, and 30, and render seconds of 1, 2, 3, and 4.","exampleUseCases":[{"title":"Pre-pipeline compositing data quality check","prompt":"I have a batch of 150 compositing graph records with node counts and render times that I want to validate before pushing them into our render pipeline — can you run a quality audit and flag any bad or inconsistent values?"},{"title":"Asset group string cleanup for reporting","prompt":"Our compositing graph export has messy asset_group labels with inconsistent capitalisation and whitespace. Can you normalise the strings across all 80 rows so they're clean and consistent for our reporting dashboard?"},{"title":"Detecting outliers in render seconds data","prompt":"I've got 200 compositing graph rows with render_seconds and node_count values — some look suspiciously high or null. Can you run a quality audit to identify which records have problematic values?"}],"resultDescription":"Returns 2 independent analytical reports: (1) a record quality audit identifying issues such as nulls, out-of-range values, and inconsistencies in the node_count and render_seconds fields; (2) a string normalisation report for text fields such as asset_group, applied across up to 200 supplied rows. No external lookups or predictions are made — all analysis uses local analytical engines on the supplied data.","failureModes":["Exceeding 200 rows causes rejection — only up to 200 rows accepted per call","Missing required fields (row_id, asset_group, date, node_count, render_seconds) causes validation failure","Invalid date format (must match YYYY-MM-DD pattern) triggers schema error","Payment failure or insufficient USDC balance prevents execution","Empty rows array (minItems: 1 not met) returns an error"],"whenToPreferThis":"Choose this endpoint when you need a fast, low-cost ($0.01 USDC) dual-report quality check specifically for compositing graph records containing node_count and render_seconds metrics, with up to 200 rows per call. It is ideal for pre-pipeline data validation and string normalisation without needing live lookup, prediction, or external integration. Not suitable for large-scale datasets exceeding 200 rows, real-time monitoring, or domain areas outside compositing graph data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:57:36.062Z","isFirstParty":false,"canonicalSlug":"compositing-graphs-record-quality-audit-and-string-normalisation-bb15c132"}