{"uid":"cap_ciIo05KtW77dZWYRTb8Vl","slug":"render-jobs-adjacent-row-changes-equal-width-histogram-9dc00d8f","name":"Render Jobs — Adjacent Row Changes + Equal-Width Histogram","description":"Render jobs — Adjacent row changes + Equal-width histogram: Adjacent row changes + Equal-width histogram 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-02-156?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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_gayiAUNxsKx_Y6JKEISqQ","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":"Analyzes render job records by computing adjacent row changes and an equal-width histogram for render_seconds or sample_count fields, returning two analytical reports.","exampleAgentPrompt":"Analyze my render job records using adjacent row changes and a 10-bin equal-width histogram on the render_seconds field — here are up to 50 rows with row_id, asset_group, date, render_seconds, and sample_count values.","exampleUseCases":[{"title":"Render time trend detection across jobs","prompt":"I have a list of 80 render job records with dates, asset groups, render seconds, and sample counts. Can you compute adjacent row changes and a histogram with 8 bins on render_seconds so I can see where render times are clustering and how they shift job to job?"},{"title":"Sample count distribution for asset groups","prompt":"Here are 40 render job rows. Give me a 5-bin equal-width histogram and adjacent row changes report on sample_count so I can understand the distribution and sequential variation across these jobs."},{"title":"QA check on sequential render performance","prompt":"I need to QA our render pipeline — here are 120 render job records. Run adjacent row changes and a 15-bin histogram on render_seconds so I can spot any big jumps between consecutive jobs and see the overall spread."}],"resultDescription":"Two analytical reports: (1) adjacent row changes showing the delta in the selected field between each consecutive row, and (2) an equal-width histogram with the specified number of bins showing the frequency distribution of the selected field (render_seconds or sample_count) across all supplied rows.","failureModes":["Rows array empty or missing required fields (row_id, date, render_seconds, sample_count) returns validation error","More than 200 rows submitted exceeds limit","Bin count outside 1–30 range rejected","Invalid date format (not YYYY-MM-DD) causes row rejection","Null values in selected numeric field may affect histogram bin calculations","Payment not attached or insufficient USDC causes 402 response"],"whenToPreferThis":"Choose this endpoint when you have render job tabular data and need both a sequential delta analysis (adjacent row changes) and a distribution summary (histogram) in a single paid call. It is purpose-built for render pipeline metrics (render_seconds, sample_count) and returns two reports for one $0.01 USDC fee, making it efficient compared to calling separate analytics endpoints. Prefer it over generic stats APIs when your data conforms to the render job schema with asset_group and date fields.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:36.589Z","isFirstParty":false,"canonicalSlug":"render-jobs-adjacent-row-changes-equal-width-histogram-9dc00d8f"}