{"uid":"cap_Z1Tme-FY1AfZ6cg-I8NS1","slug":"compositing-graphs-record-quality-audit-string-normalisation-two-eb3f176a","name":"Compositing Graphs — Record Quality Audit + String Normalisation + Two-Measure Correlation","description":"Compositing graphs — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation for supplied compositing graphs records (node_count, render_seconds). 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-creative-09-204?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_sAawa9rl3puLsfblc0Rz6","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 on supplied compositing graph records: record quality audit, string normalisation, and correlation between node_count and render_seconds — all locally, no external calls.","exampleAgentPrompt":"Run a record quality audit, string normalisation, and correlation analysis between node_count and render_seconds on my compositing graph dataset — here are up to 200 rows with row_id, asset_group, date, node_count, and render_seconds.","exampleUseCases":[{"title":"Render pipeline data quality check","prompt":"I have a batch of compositing graph records with node counts and render times — can you audit them for quality issues, normalise the asset group strings, and tell me how correlated node_count is with render_seconds? Here are the rows."},{"title":"Identifying dirty asset group labels","prompt":"My compositing dataset has inconsistent asset_group names — some are capitalised differently or have extra spaces. Can you normalise those strings, run a quality audit on all records, and also give me the correlation between node_count and render_seconds?"},{"title":"Validating render metrics before pipeline handoff","prompt":"Before I hand off my compositing graph data downstream, I need three reports: a record quality audit, normalised strings for asset_group, and a two-measure correlation between node_count and render_seconds. I have about 150 rows — can you process them?"}],"resultDescription":"Returns three independent reports: (1) a record quality audit flagging completeness, formatting issues, and anomalies in each row; (2) a string normalisation report for the asset_group field; and (3) a Pearson or equivalent two-measure correlation report between node_count and render_seconds. All computed locally from supplied data with no external lookups.","failureModes":["Exceeding 200 rows returns an error or truncation","Rows missing required fields (row_id, asset_group, date, node_count, render_seconds) may be flagged or rejected","Invalid date format (not YYYY-MM-DD) causes validation failure","All-null values for node_count or render_seconds prevent correlation computation","Malformed JSON input returns schema validation error"],"whenToPreferThis":"Choose this endpoint when you have compositing graph records (with node_count and render_seconds metrics) and need three bundled analytical reports — quality audit, string normalisation, and correlation — in a single low-cost call without any external data fetching, prediction, or live lookups. Ideal for pre-pipeline data validation and quick statistical insight on render data batches of up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:48:50.586Z","isFirstParty":false,"canonicalSlug":"compositing-graphs-record-quality-audit-string-normalisation-two-eb3f176a"}