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Compositing Graphs — Daily Sum Series + IQR Outlier Flags
x402
Compositing Graphs — Daily Sum Series + 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 daily sum time series and IQR-based outlier flags for compositing graph records (node_count or render_seconds) from up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Compositing graphs — Daily sum series + IQR outlier flags: Daily sum series + 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 independent reports: (1) a daily sum time series aggregating the selected field (node_count or render_seconds) by date, and (2) IQR-based outlier flags identifying rows or dates with values outside the interquartile range. Both reports are computed locally from the supplied data without external lookups.
Example use cases
Detect anomalous render days in pipeline
“I have compositing job logs for the past month — each row has a date, asset_group, node_count, and render_seconds. Can you compute the daily sums and flag any days where render_seconds looks like an outlier using IQR?”
Monitor node count spikes across asset groups
“Here are my compositing graph records for this quarter, up to 180 rows. Give me a daily sum series and IQR outlier flags for node_count so I can see which days had unusually high compositing complexity.”
QA compositing data before delivery
“Before I send this compositing dataset to the client, can you run a daily sum and IQR outlier check on the node_count values across these 120 rows to see if anything looks suspicious?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-09-140?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have compositing graph records (with node_count and render_seconds fields) and need both a daily aggregated time series and statistical outlier detection in a single call. It is ideal for media/VFX pipeline monitoring, render farm QA, and compositing workflow analytics where you supply your own data and need fast, local IQR-based anomaly flagging without any external data lookup or prediction.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, asset_group, node_count, render_seconds) — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- Field value outside allowed numeric range (±1 trillion) — schema rejection
- Empty rows array — minimum 1 item required
- Payment of 0.01 USDC not completed — 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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