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Compositing Graphs — Equal-Width Histogram + IQR Outlier Flags
x402
Compositing Graphs — Equal-Width Histogram + 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).
Generates an equal-width histogram and IQR-based outlier flags for compositing graph metrics (node_count or render_seconds) from up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Compositing graphs — Equal-width histogram + IQR outlier flags: Equal-width histogram + IQR outlier flags for supplied compositing graphs records (node_count, render_seconds). 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 for the chosen field: (1) an equal-width histogram showing bin ranges and counts across up to 30 configurable bins, and (2) IQR-based outlier flags identifying which row IDs fall outside the interquartile range boundaries. All analysis is performed on the supplied data with no external lookups.
Example use cases
Outlier detection in render times
“I have 120 compositing job records with render_seconds and node_count values — can you run an IQR outlier check and equal-width histogram on render_seconds using 8 bins so I can spot which jobs took abnormally long?”
Node count distribution across asset groups
“Here are my compositing graph records for October — please analyze the node_count field with a 5-bin histogram and flag any IQR outliers so I can see which asset groups have unusually complex graphs.”
QA check on compositing pipeline data
“Before I hand off this compositing dataset to the team, can you run a histogram and IQR outlier report on node_count using 10 bins across these 80 records to make sure nothing looks statistically off?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-09-170?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw compositing graph records (node_count, render_seconds) and need both a histogram distribution view and IQR-based outlier identification in a single call. It is purpose-built for compositing pipeline data with matching field names, making it more direct than a general statistics API. Ideal for QA checks, render farm diagnostics, or pipeline performance audits where you supply your own data and need fast, offline statistical reports without external data dependencies.
Side effects
- Fewer than 1 or more than 200 rows provided — request rejected
- Invalid date format (not YYYY-MM-DD) in any row — validation error
- Bins parameter outside 1–30 range — rejected
- Field value not one of 'node_count' or 'render_seconds' — enum validation error
- Null values in the selected field may reduce effective sample size for IQR computation
- Missing required row fields (row_id, asset_group, date) — schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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