{"uid":"cap_J684eluBLDC7VkqUSbQcH","slug":"render-jobs-category-frequencies-base-100-series-9176c9a0","name":"Render Jobs — Category Frequencies + Base-100 Series","description":"Render jobs — Category frequencies + Base-100 series: Category frequencies + 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-02-105?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_1r9Dx4P1k0Gr1vsawXgY-","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 to produce category frequency distributions and a base-100 indexed time series for render_seconds or sample_count, across up to 200 rows.","exampleAgentPrompt":"Can you run two reports on my render job data — a category frequency breakdown and a base-100 indexed series for render_seconds, starting from row index 0? Here are my rows: group-a rendered 10s on 2026-10-01 with 1 sample, group-b 20s on 2026-10-02 with 2 samples, group-a 15s on 2026-10-03 with 3 samples, group-b 30s on 2026-10-04 with 4 samples.","exampleUseCases":[{"title":"Render time distribution by asset group","prompt":"I have 50 render job records with dates, asset groups, and render_seconds values — can you show me how frequently each asset group appears and give me a base-100 indexed trend for render_seconds starting from the first row?"},{"title":"Sample count trend indexing for animation pipeline","prompt":"Take these 120 render job records and produce a category frequency report plus a base-100 series for sample_count, using row index 0 as the base, so I can see how sample counts have grown relative to the start."},{"title":"Comparing render workload across creative teams","prompt":"Here are this quarter's render job logs with asset_group labels for each team — give me a frequency breakdown of how many jobs each team ran and index their render_seconds to 100 so I can compare growth rates fairly."}],"resultDescription":"Returns two analytical reports: (1) category frequency counts showing how often each asset_group value appears in the supplied rows, and (2) a base-100 indexed time series for the selected field (render_seconds or sample_count), normalized so the row at base_index equals 100. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Missing required fields (row_id, date, asset_group, render_seconds, sample_count) cause validation errors","Supplying more than 200 rows exceeds the maxItems limit and will be rejected","Invalid date format (not YYYY-MM-DD) triggers pattern validation failure","base_index out of range 0–199 causes a parameter error","Null values in render_seconds or sample_count may affect index computation","Payment of 0.01 USDC not included or rejected causes a 402 response"],"whenToPreferThis":"Choose this endpoint when you have up to 200 render job records and need both a categorical frequency breakdown and a base-100 normalized trend series in a single low-cost call. It is ideal for creative pipeline analytics where you want to understand workload distribution by asset group and track relative growth of render time or sample counts without setting up your own analytical infrastructure.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:41:20.482Z","isFirstParty":false,"canonicalSlug":"render-jobs-category-frequencies-base-100-series-9176c9a0"}