What inputs does the Anomaly Detector workflow use?

The workflow uses Metrics, Baseline. Required fields and their expected formats are listed on this page.

What resources are included in the Anomaly Detector blueprint?

The blueprint contains 2 AI agents, 0 functions, 0 MCP servers. Its workflow pattern is Dag.

All blueprints Data & Analytics AI workflow blueprint

AI Anomaly Detector workflow blueprint

Monitor metrics and generate readable alerts when anomalies occur

See where this blueprint fits in the production workflow lifecycle

Data

Anomaly

Monitoring

Alerting

Request access

Pattern

Dag

Agents

2

Functions

0

MCP servers

0

Inputs for the Anomaly Detector workflow

Provide the following information when starting this workflow. Required inputs are validated before the first workflow stage runs.

Metrics
Required
Metric stream data
Type: String
Baseline
Optional
Baseline or expected range
Type: String

Input template

This request shape is generated from the blueprint's input schema. Angle-bracket values are placeholders; defaults and examples appear only when the source blueprint defines them.

{
  "metrics": "<required string>",
  "baseline": "<optional string>"
}

How the Anomaly Detector AI workflow works

This data & analytics blueprint uses a dag workflow with 2 agents, 0 functions, and 0 MCP servers. This catalog blueprint is available by request; contact GraphN to discuss access and customization for your use case.

Anomaly Detector
Agent using Anomaly Detector
Alert Narrator
Agent using Alert Narrator

Blueprint resources and prerequisites

These are the actual agents, functions, and MCP servers declared by the blueprint. If an MCP server connects to an external system, configure the required connection and credentials in your GraphN workspace before running the workflow.

AI agent

Anomaly Detector

Analyze the metric stream for statistical anomalies, trend breaks, and unusual patterns.

AI agent

Alert Narrator

Generate plain-English alert narratives explaining the anomaly, severity, likely cause, and recommended action.

Workflow output contract

The completed workflow makes the following output available to downstream steps, applications, or API clients:

Narrator

Frequently asked questions

What does the Anomaly Detector blueprint do?: Monitor metrics and generate readable alerts when anomalies occur
What inputs does the Anomaly Detector workflow use?: The workflow uses Metrics, Baseline. Required fields and their expected formats are listed on this page.
What resources are included in the Anomaly Detector blueprint?: The blueprint contains 2 AI agents, 0 functions, 0 MCP servers. Its workflow pattern is Dag.
Can I customize the Anomaly Detector blueprint in GraphN?: This blueprint is currently available by request. Contact GraphN to discuss access and customization for your use case.

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