{"uid":"cap_x4MsugPjeqSC8l__ncWqV","slug":"compositing-graphs-record-quality-audit-string-normalisation-bb10c773","name":"Compositing Graphs — Record Quality Audit + String Normalisation + Secondary-Measure Weighted Mean","description":"Compositing graphs — Record quality audit + String normalisation + Secondary-measure weighted mean: Record quality audit + String normalisation + Secondary-measure weighted mean 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-09-205?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},"field":{"enum":["node_count","render_seconds"],"type":"string","default":"node_count"}}},"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_8pX-SlgEfbQc-i_kVcnWT","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 compositing graph records: a data quality audit, string normalisation, and a secondary-measure weighted mean calculation.","exampleAgentPrompt":"Can you run a quality audit, string normalisation, and weighted mean report on my compositing graph records — I have rows with node_count and render_seconds fields, and I want to analyse node_count specifically? Here are my rows: [{row_id: 'r1', asset_group: 'Group A', date: '2025-01-01', node_count: 120, render_seconds: 45}, {row_id: 'r2', asset_group: 'group a', date: '2025-01-02', node_count: 95, render_seconds: 60}].","exampleUseCases":[{"title":"Render pipeline data quality check","prompt":"I have about 50 rows of compositing graph data with node counts and render times per asset group — can you run a quality audit and string normalisation on them and also give me the weighted mean for render_seconds?"},{"title":"Identifying dirty asset group labels","prompt":"My compositing records have inconsistent capitalisation in the asset_group field across 80 rows — can you normalise those strings and also check overall data quality while computing a weighted mean for node_count?"},{"title":"Pre-delivery compositing data validation","prompt":"Before I hand off this compositing dataset to the client, can you audit the record quality, normalise the asset group names, and calculate the weighted mean for render_seconds across all 150 rows so I can include the summary in my report?"}],"resultDescription":"Three independent analytical reports covering: (1) a record quality audit flagging missing, out-of-range, or malformed values; (2) normalised versions of string fields like asset_group; and (3) a secondary-measure weighted mean computed over the selected numeric field (node_count or render_seconds) across up to 200 input rows.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, asset_group, date, node_count, render_seconds) causes rejection","Invalid date format (non-YYYY-MM-DD) fails pattern validation","Field selector not matching enum values ('node_count' or 'render_seconds') causes error","Payment of 0.01 USDC not supplied or declined blocks execution"],"whenToPreferThis":"Choose this endpoint when you need to simultaneously audit data quality, normalise categorical string fields, and compute a weighted mean on compositing graph records in a single low-cost call. Ideal for media production pipelines where node_count and render_seconds are the primary tracked metrics and you want three analytical views without calling separate services.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:56:38.408Z","isFirstParty":false,"canonicalSlug":"compositing-graphs-record-quality-audit-string-normalisation-bb10c773"}