Integration / Analytics & Data
Arize AX integration
Arize AX is an AI engineering platform for tracing, evaluating, and improving AI applications through projects, datasets, prompts, experiments, traces, and spans.
About Arize AX
Arize AX is an AI engineering platform for tracing, evaluating, and improving AI applications. Use it to debug LLM behavior, compare experiments, and improve production AI quality.
All integrations- Category
- Analytics & Data, Developer Tools & DevOps, AI & Machine Learning
- Connection
- API key
- Type
- Tool
- Actions
- 24
- Tags
- library
Example prompts
What you can ask Growf to do with Arize AX
- “Summarize failed spans from latest traces”
- “Compare experiment results across prompt versions”
- “Create dataset from production traces”
Available actions
24 actions your agents can run in Arize AX
Add Dataset Examples
Append arbitrary-field examples to an Arize dataset or a specified dataset version.
Add Experiment Runs
Append one or more runs to an existing Arize experiment.
Create Dataset
Create an Arize dataset in a space with an explicit initial array of examples.
Create Experiment
Create an Arize experiment with initial runs, associated with exactly one dataset or space.
Create Prompt
Create an Arize prompt and its initial version in a space.
Create Prompt Version
Create a new immutable version of an existing Arize prompt.
Get Dataset
Get one Arize dataset and its versions by dataset ID.
Get Experiment
Get one Arize experiment by its ID, without its experiment runs.
Get Project
Get one accessible Arize project by its ID.
Get Prompt
Get an Arize prompt with its current, explicitly selected, or labeled version.
Get Space
Get one accessible Arize space by its ID.
List Dataset Examples
List one page of examples from an Arize dataset or a specific dataset version, preserving user-defined example fields.
Put Arize AX to work inside Growf.
Connect it once and every workspace, agent and workflow can use it — securely, with your team in the loop.