{"uid":"cap_rr9R3tviJ7odKb0dY3vA7","slug":"material-libraries-grouped-numeric-summary-trailing-mean-series-95a04e79","name":"Material Libraries — Grouped Numeric Summary + Trailing Mean Series","description":"Material libraries — Grouped numeric summary + Trailing mean series: Grouped numeric summary + Trailing mean series for supplied material libraries records (material_count, texture_mb). 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-03-090?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","material_count","texture_mb"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"texture_mb":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"asset_group":{"type":"string","default":"","maxLength":80},"material_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","texture_mb":1,"asset_group":"group-a","material_count":10},{"date":"2026-10-02","row_id":"row-2","texture_mb":2,"asset_group":"group-b","material_count":20},{"date":"2026-10-03","row_id":"row-3","texture_mb":3,"asset_group":"group-a","material_count":15},{"date":"2026-10-04","row_id":"row-4","texture_mb":4,"asset_group":"group-b","material_count":30}],"maxItems":200,"minItems":1},"field":{"enum":["material_count","texture_mb"],"type":"string","default":"material_count"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_X2lgUGqKnvujeP65md2L1","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 grouped numeric summaries and trailing moving-average series for material library records (material_count, texture_mb) across up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Can you run a grouped numeric summary and trailing mean series on my material library data? I have records with asset_group, date, material_count, and texture_mb — use material_count as the field and a window of 3. Here are my rows: group-a on 2026-10-01 with 10 materials and 1.5 MB texture, group-b on 2026-10-02 with 20 materials and 2.8 MB texture, group-a on 2026-10-03 with 15 materials and 3.2 MB texture.","exampleUseCases":[{"title":"Game studio asset group analytics","prompt":"I've got 50 rows of material library records from our game project — each has an asset_group, date, material_count, and texture_mb. Can you group them and give me a numeric summary plus a trailing mean with window size 5 for the texture_mb field?"},{"title":"Tracking material count trends over time","prompt":"Here are 120 rows of material library entries with asset groups and dates. I want to see grouped stats for material_count and also a trailing mean series with a window of 7 so I can spot trends over time."},{"title":"Comparing texture sizes across asset groups","prompt":"Can you summarize my material library records by asset_group and compute a rolling mean for texture_mb with a window of 4? I'll paste in my 80 rows with row_id, asset_group, date, material_count, and texture_mb."}],"resultDescription":"Returns two analytical reports: (1) a grouped numeric summary of the specified field (material_count or texture_mb) broken down by asset_group, including statistics like count, mean, min, max, and sum; and (2) a trailing moving-average series for the chosen field computed over the specified window size, indexed by date and row, up to 200 rows of input.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required row fields (row_id, asset_group, date, material_count, texture_mb) — validation error","Invalid date format not matching YYYY-MM-DD pattern — schema rejection","Window parameter outside 2–200 range — error returned","Invalid field enum value (must be 'material_count' or 'texture_mb') — error returned","Empty rows array — minimum 1 item required"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of material library records with asset_group, date, material_count, and texture_mb fields and need both a grouped summary and a rolling mean series in a single $0.01 call. Ideal for game developers, 3D artists, or asset pipeline tools needing quick offline analytics on material data without needing live lookup, prediction, or external data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:16.490Z","isFirstParty":false,"canonicalSlug":"material-libraries-grouped-numeric-summary-trailing-mean-series-95a04e79"}