{"uid":"cap_fCCzRQ_5n6lMYJnKxAHvz","slug":"compositing-graphs-record-quality-audit-string-normalisation-adjacent-9a365ecb","name":"Compositing Graphs — Record Quality Audit + String Normalisation + Adjacent Row Changes","description":"Compositing graphs — Record quality audit + String normalisation + Adjacent row changes: Record quality audit + String normalisation + Adjacent row changes 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-09-200?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_S5cd804pMja8ukc99neak","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 local analytical reports (record quality audit, string normalisation, and adjacent row changes) on up to 200 compositing graph rows containing node count and render seconds data.","exampleAgentPrompt":"Can you audit the quality, normalise the string fields, and detect adjacent row changes in my compositing graph data? Here are 4 rows with asset groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, node counts of 10, 20, 15, 30, and render seconds of 1, 2, 3, 4 — run the analysis on the node_count field.","exampleUseCases":[{"title":"VFX pipeline data quality check","prompt":"I have a batch of compositing graph records from our VFX pipeline — can you run a record quality audit, normalise the asset_group strings, and flag any adjacent row changes in the render_seconds field? I'll pass you 50 rows with dates, node counts, and render times."},{"title":"Render farm sequential anomaly detection","prompt":"Can you check my render farm logs for row-to-row changes in node_count, audit the record quality, and normalise the asset group labels? I have about 120 rows dated from 2026-01-01 onward with node counts and render seconds per job."},{"title":"Compositing dataset pre-processing audit","prompt":"Before I ingest these compositing graph records into our reporting system, can you run all three checks — quality audit, string normalisation, and adjacent row changes — on the node_count field across my 80 rows of asset group and render data?"}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging missing, invalid, or out-of-range values; (2) a string normalisation report on the asset_group field; and (3) an adjacent row changes report showing sequential differences in the selected numeric field (node_count or render_seconds). All computed locally with no external lookups.","failureModes":["Rows array empty or missing — API rejects with validation error","More than 200 rows submitted — exceeds maxItems limit","Invalid date format (not YYYY-MM-DD) — schema pattern validation failure","row_id missing or empty string — required field validation error","field enum value not 'node_count' or 'render_seconds' — schema rejection","Numeric values outside ±1,000,000,000,000 range — validation failure","Payment not attached or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you need three simultaneous local analytical reports — quality audit, string normalisation, and adjacent row change detection — on compositing graph records without any external data lookups. It is ideal for VFX or rendering pipeline data pre-processing where you want to validate, clean, and inspect sequential changes in node_count or render_seconds across up to 200 rows in a single $0.01 call. Prefer it over single-report endpoints when you need all three analyses bundled together cost-effectively.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:55:32.070Z","isFirstParty":false,"canonicalSlug":"compositing-graphs-record-quality-audit-string-normalisation-adjacent-9a365ecb"}