Agentiqa compared with AI eval and observability tools
There are three kinds of tools for testing AI agents. Evals score the agent's outputs on a dataset. Observability records what the agent did in production. Release gates run the agent's key tasks before each release and check what changed in the connected system.
Agentiqa is an AI Quality System built around release gates and AI Quality Manager. The tools below are mostly evals and observability platforms. For agents that write data into business systems, they cover different moments and can be used together.
Comparisons
| Tool | What it is, in its own words | Compared with Agentiqa |
|---|---|---|
| Braintrust | "The active observability platform for agents" | Agentiqa vs Braintrust |
| LangSmith | Agent observability and evaluation from LangChain | Agentiqa vs LangSmith |
| Langfuse | "Open Source Agent Evals & Observability" | Agentiqa vs Langfuse |
| Arize Phoenix | "Open-source AI observability & evaluation" | Agentiqa vs Arize Phoenix |
| Playwright | Open source framework for end-to-end tests of web apps | Agentiqa vs Playwright |
Looking for a replacement rather than a comparison? See Braintrust alternatives, LangSmith alternatives and Langfuse alternatives.
Evals, observability and release gates side by side
| Evals | Observability | Release gates | |
|---|---|---|---|
| Question | Is this model or prompt good? | What did the agent do? | Is this version safe to ship? |
| When | During development | In production | Before each release |
| Looks at | Outputs and transcripts | Traces and metrics | Records in the connected system |
| Shows what happens in production after release | No | Yes | No, gates run before release |
Which failures show up where:
- Wrong data, such as a truncated order ID after a model update, is in the record, not the reply. See wrong data.
- A false "done", where the agent reports success but nothing was saved, looks fine in the transcript. See hallucinated success.
- Duplicate writes, where a retry saves the same order twice, only show up when you count the records. See duplicate writes.
The longer version is in AI agent release gates vs observability and evals.
How we write these pages
Every fact about another product comes from that product's own site, docs, GitHub page or a news report, with the link and the date we checked it. Where we did not find a feature on those pages, the table shows "—", not "no". If something is out of date, tell us and we will fix it.
FAQ
Evals score an agent's outputs on a dataset, often with mocked tools. A release gate runs the agent's key tasks end to end before a release and checks the records in the connected system.
No. Those tools trace production and score outputs. Agentiqa does not trace production. It checks the next version of an agent before release, by running its key tasks and reading what it wrote.
AI agents that write data into business systems, such as ERP and procurement suites, CRM and billing. Agentiqa is not designed for agents that only answer questions or generate text.
Yes. Community Edition is free for web apps and simple agentic workflows, with 20 runs a month and no credit card.
Try it on your own agent
Describe a task in plain words. Agentiqa does it step by step and tells you if it worked. Every failure comes with step-by-step reproduction.
20 runs a month, no credit card.
Your agent writes into ERP, CRM or billing for customers? See Enterprise.