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Scene Geometry Trailing Mean + IQR Outlier Flags
x402
Scene Geometry Trailing Mean + IQR Outlier Flags is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).
Computes a trailing mean time series and IQR-based outlier flags for scene geometry metrics (object_count or triangle_count) across up to 200 supplied rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Scene geometry — Trailing mean series + IQR outlier flags: Trailing mean series + IQR outlier flags for supplied scene geometry records (object_count, triangle_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.
Output
Returns two analytical reports: (1) a trailing mean time series computed over the specified window for the chosen field (object_count or triangle_count), and (2) IQR-based outlier flags per row identifying records that fall outside the interquartile range. Results cover up to 200 input rows with no external data enrichment.
Example use cases
Detecting geometry spikes in game assets
“I have 120 rows of daily scene geometry records for our game's 'vehicles' asset group with both object_count and triangle_count values. Can you run a trailing mean with a window of 7 and flag any IQR outliers on triangle_count so I can catch days where the geometry blew up unexpectedly?”
Monitoring 3D scene complexity over a sprint
“We tracked object_count across our 'environment' asset group for the last 60 days. Run a trailing mean report with window size 10 and IQR outlier flags on object_count — I need to know which dates had abnormal scene complexity during our sprint.”
QA pipeline check on triangle counts
“As part of our asset QA pipeline, I need to analyze triangle_count for the 'props' asset group across 80 rows. Give me the trailing mean series using a window of 4 and flag any IQR outliers so we can catch triangle budget violations before shipping.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-05-149?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular scene geometry records (object_count, triangle_count) and need both a rolling/trailing mean trend and IQR-based outlier detection in a single low-cost call. It is ideal for 3D asset pipelines, game development QA workflows, or any scenario where you supply your own data and need local statistical analysis without external lookups or predictions. Prefer it over general-purpose analytics when your data fits the scene geometry schema and you need two reports (mean series + outlier flags) for $0.01.
Side effects
- Fewer than 1 row supplied — minimum row count not met
- More than 200 rows submitted — exceeds maximum row limit
- Missing required fields (row_id, date, object_count, triangle_count) on any row
- Invalid date format (must match YYYY-MM-DD pattern)
- Window size outside allowed range of 2–200
- Payment not completed or insufficient USDC balance
- Field enum value not one of 'object_count' or 'triangle_count'
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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