{"uid":"cap_5UgHmHZaZNWLsG8j7PuZY","slug":"render-jobs-adjacent-row-changes-secondary-measure-weighted-mean-76e43034","name":"Render Jobs — Adjacent Row Changes + Secondary-Measure Weighted Mean","description":"Render jobs — Adjacent row changes + Secondary-measure weighted mean: Adjacent row changes + Secondary-measure weighted mean 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-02-159?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"}}},"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_pBJzXJHssod-8SieAG17y","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":"Computes adjacent row changes and secondary-measure weighted mean statistics for up to 200 render job records (render_seconds, sample_count), returning two analytical reports.","exampleAgentPrompt":"I have a dataset of render job records with dates, asset groups, render_seconds, and sample_counts — can you run adjacent row change analysis and a sample-count weighted mean on the render_seconds field for these rows?","exampleUseCases":[{"title":"Render Farm Performance Trend Analysis","prompt":"I have 150 render job records from last month — each with a date, asset group, render_seconds, and sample_count. Can you compute how render_seconds changed between consecutive rows and also give me a weighted mean of render_seconds using sample_count as the weight?"},{"title":"Comparing Daily Render Duration Shifts","prompt":"Here are my render job logs for October across two asset groups. I want to see the adjacent row-by-row changes in sample_count and get a render_seconds-weighted mean of sample_count — please run both reports."},{"title":"Animation Studio Batch Render QA","prompt":"We finished a batch of 80 render jobs across group-a and group-b. Can you analyze the sequential changes in render_seconds between rows and compute the sample_count-weighted mean for render_seconds so we can benchmark against our SLA?"}],"resultDescription":"Returns two analytical reports: (1) a list of adjacent row-to-row change values for the selected field (render_seconds or sample_count), and (2) a weighted mean of the selected field using the other measure as the weight — all computed locally from the supplied rows, up to 200 records.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, date, render_seconds, sample_count) — validation error","Invalid date format (must match YYYY-MM-DD) — schema validation failure","Null or out-of-range numeric values causing computation errors","Invalid field enum value (must be 'render_seconds' or 'sample_count')","Empty rows array — minimum 1 row required","Payment not confirmed — 402 response blocking access"],"whenToPreferThis":"Choose this endpoint when you have render job tabular data (up to 200 rows) and need both sequential row-difference analysis and a secondary-measure weighted mean in a single paid call. It is purpose-built for creative/media render pipeline analytics involving render_seconds and sample_count fields. Prefer it over general-purpose statistics APIs when you want two bundled reports at low cost ($0.01 USDC) without external data lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:28.287Z","isFirstParty":false,"canonicalSlug":"render-jobs-adjacent-row-changes-secondary-measure-weighted-mean-76e43034"}