{"uid":"cap_xLoZWT1XPx4gNVfdj85Y0","slug":"render-jobs-numeric-distribution-trailing-mean-series-analyzer-c40675dd","name":"Render Jobs Numeric Distribution + Trailing Mean Series Analyzer","description":"Render jobs — Numeric distribution + Trailing mean series: Numeric distribution + Trailing mean series for supplied render jobs records (render_seconds, sample_count). 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-02-076?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","render_seconds","sample_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"asset_group":{"type":"string","default":"","maxLength":80},"sample_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"render_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","asset_group":"group-a","sample_count":1,"render_seconds":10},{"date":"2026-10-02","row_id":"row-2","asset_group":"group-b","sample_count":2,"render_seconds":20},{"date":"2026-10-03","row_id":"row-3","asset_group":"group-a","sample_count":3,"render_seconds":15},{"date":"2026-10-04","row_id":"row-4","asset_group":"group-b","sample_count":4,"render_seconds":30}],"maxItems":200,"minItems":1},"field":{"enum":["render_seconds","sample_count"],"type":"string","default":"render_seconds"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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__Q-0QD1dSaX_-9rbL-7Qh","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":"Generates two analytical reports — a numeric distribution and a trailing mean series — for supplied render job records (render_seconds or sample_count).","exampleAgentPrompt":"Can you run a numeric distribution and trailing mean analysis (window of 5) on my render job data — I have rows with render_seconds and sample_count fields across asset groups, and I want to analyze render_seconds specifically?","exampleUseCases":[{"title":"Render pipeline performance review","prompt":"I have 150 render job records with dates, asset groups, render_seconds, and sample counts — can you generate a numeric distribution and trailing mean series (window of 3) for render_seconds so I can see how our render times are distributed and trending?"},{"title":"Sample count trend analysis per asset group","prompt":"Run a numeric distribution and trailing mean analysis on my render jobs data with a window of 7, focusing on sample_count — I want to understand the spread and rolling average of samples across our asset groups over the past quarter."},{"title":"Spotting render time anomalies over time","prompt":"I've got about 80 rows of render job records with dates and render_seconds — can you produce a distribution report and trailing mean series with a window of 4 on render_seconds so I can spot any unusual spikes in our rendering times?"}],"resultDescription":"Two independent analytical reports: (1) a numeric distribution (e.g. histogram/frequency breakdown) of the selected field (render_seconds or sample_count), and (2) a trailing mean series computed over a specified rolling window for the same field, both derived from the supplied render job rows.","failureModes":["Fewer than 1 row supplied — minimum row count not met","More than 200 rows supplied — exceeds maximum limit","Missing required fields (row_id, date, render_seconds, sample_count) in one or more rows","Invalid date format (must match YYYY-MM-DD)","Window parameter less than 2 or exceeds number of rows — trailing mean may be undefined","Non-numeric values in render_seconds or sample_count fields","Payment of 0.01 USDC not fulfilled — x402 payment required"],"whenToPreferThis":"Choose this endpoint when you have up to 200 render job records and need both a statistical distribution and a rolling mean trend for render_seconds or sample_count in a single call. It is ideal for offline/batch analysis of rendering pipeline performance without needing real-time lookups or external data. Prefer it over general-purpose analytics when your data fits the render jobs schema (row_id, date, asset_group, render_seconds, sample_count) and you want two complementary views — spread and trend — at low cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:57.337Z","isFirstParty":false,"canonicalSlug":"render-jobs-numeric-distribution-trailing-mean-series-analyzer-c40675dd"}