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Test your AI agent before and after you ship.

Define what your agent should say, do, and never do. Run those tests on demand before release, then apply the same test suite automatically to real user interactions.

Test a real agent response · no signup.Read the docs

An agent trace can flow through OTLP into Mibo. After evaluating the run, Mibo returns either Test Passed or Test Failed.

One test suite. Run it before and after release.

Mibo is built for AI agent testing: run deliberate scenarios on demand, then keep applying the same tests automatically as users interact with your agent.

Test deliberately before release

Choose a scenario and run it against your real agent. Check the response and the tools, values, latency, token usage, and execution steps behind it.

  • Semantic response checks
  • Procedural assertions
  • Repeatable scenarios
  • Step-by-step diagnosis

Test real interactions automatically

Keep testing after release without replaying customer traffic. Mibo matches each completed agent run to the relevant tests and records the evidence.

  • Scenario classification
  • Real-interaction test history
  • Coverage by scenario
  • Regression evidence

Test the whole agent run

Inspect inputs, tool calls, outputs, and execution stages instead of judging only the final message.

Run the right tests

Apply universal checks to every run and conditional tests only when the user scenario matches.

Diagnose with evidence

See the failed assertion, expected behavior, observed value, and run context in one place.

From your first test to continuous coverage.

Connect an agent, describe correct behavior, and run a real test. The same suite can keep testing completed user interactions after release.

Try a live test
  1. 01

    Connect your agent

    Use n8n, Flowise, or a custom HTTP endpoint. Start with response-only testing; add trace data when you need assertions about tools and execution steps.

  2. 02

    Define correct behavior

    Create reusable tests for what the agent should say, do, and never do. Combine semantic evaluation with deterministic assertions for tools, schemas, values, latency, and tokens.

  3. 03

    Run a real test

    Send a chosen scenario to your agent and inspect the result. Mibo shows which check failed, what it expected, and the evidence needed to fix it.

  4. 04

    Keep testing after release

    Send completed agent runs to Mibo. It matches each real interaction to the relevant tests without sitting in the customer request path.

Connect your AI stack to a shared test suite

Use n8n when your agent lives in a workflow, Flowise with the maintained trace template, or OpenTelemetry and Mibo's HTTP API for a framework-neutral ingestion path.

Start testing for free. Scale when your suite grows.

Connect one agent and run your first tests for free. Upgrade when your team needs more test runs, agents, and history.

Free

$0/mo
Free forever

For individual developers and small prototypes.

Includes:

  • 100 Test Runs / month
  • 1 Agent
  • Test Diagnosis
  • 7-day History

Starter

$20/mo
Billed annually ($240)

For growing teams building production agents.

Everything in Free, plus:

  • 1000 Test Runs / month
  • 10 Concurrent Agents
  • Semantic Metrics
  • 90-day History

Full

$50/mo
Billed annually ($600)

For teams that need the full platform.

Everything in Starter, plus:

  • 3000 Test Runs / month
  • 100 Agents
  • 365-day History
  • Priority Support