{"uid":"cap_sTE4Y3pzDvnFegnICH4rd","slug":"compositing-graphs-numeric-interval-filter-explicit-missing-value-fill-dbdb4ef8","name":"Compositing Graphs — Numeric Interval Filter + Explicit Missing-Value Fill","description":"Compositing graphs — Numeric interval filter + Explicit missing-value fill: Numeric interval filter + Explicit missing-value fill 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-09-135?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_qEuYhpJYEVyJxiOPBlYC5","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":"Filters compositing graph rows by a numeric interval on node_count or render_seconds, then fills missing values using zero, mean, or median imputation — returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have 150 compositing graph records with node_count and render_seconds — can you filter them to keep only rows where node_count is between 0 and 500, then fill any missing node_count values using median imputation, and give me two analytical reports?","exampleUseCases":[{"title":"Clean render pipeline analytics data","prompt":"I've got compositing graph logs for the past month — about 180 rows — and some render_seconds values are null or out of range. Can you filter render_seconds between 1 and 3600, fill the missing ones using the mean, and run two summary reports on the result?"},{"title":"Audit node count outliers in compositing jobs","prompt":"Here are 90 compositing graph records. Please filter out any rows where node_count falls outside 10 to 10000, replace missing node_count values with zero, and give me the two analytical reports so I can see the cleaned distribution."},{"title":"Prepare compositing data for performance review","prompt":"I need to prep our compositing graph dataset — 200 rows — for a performance review. Filter node_count to the interval 5 to 250, use median to fill any blanks, and send back the two reports."}],"resultDescription":"Two independent analytical reports derived from the submitted compositing graph rows after applying the numeric interval filter (keeping rows where the chosen field falls within [minimum, maximum]) and replacing null values in that field with the specified fill value (zero, mean, or median). Reports cover up to 200 rows of node_count and render_seconds data.","failureModes":["Fewer than 1 row submitted — validation error","More than 200 rows submitted — exceeds limit","Invalid date format (not YYYY-MM-DD) — schema validation failure","Numeric values outside ±1,000,000,000,000 — rejected","Unknown fill method or field enum value — validation error","Payment not included or insufficient — 402 response"],"whenToPreferThis":"Choose this endpoint when you have compositing graph data (node_count, render_seconds) that needs both range-based filtering and missing-value imputation in a single call, and you want two analytical summary reports for up to 200 rows at low cost. Prefer it over general-purpose analytics when the domain is specifically compositing/rendering pipelines and the combined filter+fill workflow is needed without external lookups or live data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:48:56.724Z","isFirstParty":false,"canonicalSlug":"compositing-graphs-numeric-interval-filter-explicit-missing-value-fill-dbdb4ef8"}