{"uid":"cap_AvXQ-cDHq7d1-y1OonROu","slug":"render-jobs-adjacent-row-changes-base-100-series-acb0c47b","name":"Render Jobs — Adjacent Row Changes + Base-100 Series","description":"Render jobs — Adjacent row changes + Base-100 series: Adjacent row changes + Base-100 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-02-155?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_LyBAJJeRTx8KoxyffEA9d","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 a base-100 index series for render job metrics (render_seconds, sample_count) across up to 200 supplied rows.","exampleAgentPrompt":"I have a list of render job records with dates, asset groups, render_seconds, and sample_counts — can you compute both the adjacent row changes and a base-100 index series (starting from row index 0) for render_seconds across all 150 rows?","exampleUseCases":[{"title":"Render time trend indexing for studio","prompt":"I've got 120 render job records from our studio pipeline with dates and render_seconds per job — can you build a base-100 index series starting from the first row and also show me the row-over-row changes in render_seconds?"},{"title":"Sample count drift detection across asset groups","prompt":"Here are 80 render job rows across two asset groups — can you compute the adjacent row changes and a base-100 series for sample_count, starting the index at row 0, so I can see how sample volume shifted job by job?"},{"title":"Benchmarking render performance over a sprint","prompt":"We ran 200 render jobs over a two-week sprint and I want to compare how render_seconds evolved — give me both the adjacent differences and a normalized base-100 index series anchored at row 0 for the full dataset."}],"resultDescription":"Returns two analytical reports for the supplied render job rows: (1) an adjacent row changes report showing the difference in the selected metric (render_seconds or sample_count) between each consecutive row, and (2) a base-100 index series normalizing the selected metric relative to the row at the specified base_index. Both reports are computed locally without external lookups or predictions.","failureModes":["Missing required row fields (row_id, date, render_seconds, sample_count, asset_group) causes validation errors","Submitting more than 200 rows exceeds the maxItems limit and will be rejected","Invalid date format (not YYYY-MM-DD) fails pattern validation","Null metric values in the selected field may produce undefined or null change entries","base_index out of range (>= number of rows submitted) may cause index anchoring errors","field enum value other than 'render_seconds' or 'sample_count' will be rejected"],"whenToPreferThis":"Choose this endpoint when you have tabular render job data and need both a sequential change analysis and a base-100 normalized index series computed together in a single call for up to 200 rows. It is especially useful for creative production pipelines tracking render time or sample volume over time, where you want to benchmark performance relative to a starting point and also see row-level deltas without building custom analytics. Prefer it over general-purpose analytics when your data fits the render jobs schema and you want both report types for one flat fee.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:41.517Z","isFirstParty":false,"canonicalSlug":"render-jobs-adjacent-row-changes-base-100-series-acb0c47b"}