{"uid":"cap_rNvZa0kMXN1mly27YEmMU","slug":"render-jobs-histogram-date-by-category-pivot-analyzer-8f8cec32","name":"Render Jobs Histogram & Date-by-Category Pivot Analyzer","description":"Render jobs — Equal-width histogram + Date by category pivot: Equal-width histogram + Date by category pivot 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-02-173?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_OLDHYf1Q8isJ87Iwl5zvg","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 local analytical reports — an equal-width histogram and a date-by-category pivot — for up to 200 render job records containing render_seconds and sample_count fields.","exampleAgentPrompt":"Analyze my render job records — here are 50 rows with render_seconds and sample_count, each tagged with an asset_group and date — give me an equal-width histogram of render_seconds using 10 bins and a date-by-category pivot, all in one call.","exampleUseCases":[{"title":"Render time distribution for studio pipeline","prompt":"I have 120 render job records from our studio pipeline, each with a row_id, asset_group, date, render_seconds, and sample_count. Can you run a histogram of render_seconds using 8 bins plus a date-by-asset-group pivot so I can see how render times are spread and how they vary by category over time?"},{"title":"Sample count analysis for a rendering farm","prompt":"We collected 80 render job entries from our rendering farm this month. Please generate an equal-width histogram for sample_count with 5 bins and a date-by-category pivot — I want to understand how sample volume is distributed and which asset groups are driving activity on which dates."},{"title":"QA check on asset group render metrics","prompt":"I need to audit render performance across our asset groups. I have 200 rows with dates, render_seconds, and sample_count per job — can you bucket render_seconds into 15 equal-width bins and pivot by date and asset_group so I can spot outliers and imbalances?"}],"resultDescription":"Returns two independent analytical reports: (1) an equal-width histogram showing the frequency distribution of the selected numeric field (render_seconds or sample_count) divided into the specified number of bins, and (2) a date-by-category pivot table summarizing values grouped by date and asset_group. Both reports are computed locally on the supplied data with no external lookups.","failureModes":["Rows array is empty or missing — validation error","More than 200 rows submitted — rejected with max-items error","Invalid date format in any row (must be YYYY-MM-DD) — schema validation failure","Bins value outside 1–30 range — rejected","Field value not in enum ['render_seconds','sample_count'] — schema error","Null values in the selected numeric field may reduce histogram coverage","Missing required row fields (row_id, asset_group, date) cause row-level rejection"],"whenToPreferThis":"Choose this endpoint when you have up to 200 render job records and need both a histogram distribution and a date-by-category pivot in a single, low-cost call. It is ideal for local analytical summaries of creative pipeline data (render times, sample counts) without requiring an external database, live data connection, or bespoke analytics infrastructure. Prefer it over generic analytics services when working with render job schemas that include asset_group, date, render_seconds, and sample_count.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:45.841Z","isFirstParty":false,"canonicalSlug":"render-jobs-histogram-date-by-category-pivot-analyzer-8f8cec32"}