Tool overview
Freeplay is listed under AI Governance Safety & Evaluation AI tools.
What is Freeplay?
Freeplay connects AI observability, evaluations, offline testing, prompt and model management, reviews, and production insights in one workspace. Teams can trace agent steps, build datasets, run custom or model-graded evals, compare changes, monitor cost and latency, and deploy private enterprise configurations.
Best for
AI engineering teams improving agents through measurable testing and production feedback
Who is it for?
Decision note
Confirm logged-completion limits, projects, test runs, credit usage, evaluation types, provider costs, retention, BYOC or self-hosting, support, startup discounts, and the current contract.
Key features
Trace-level observability for completions, tools, and agents
Custom, code-based, and model-graded evaluations
Offline test runs and experiment comparison
Prompt and model management workflows
Human reviews, datasets, and production insights
API access and enterprise private deployment options
Use cases
Evaluating agent behavior before release
Monitoring production LLM quality
Turning failures into regression tests
Tracking model cost and latency
Pros
- Permanent free plan with unlimited users
- Unifies testing and production monitoring
- Supports enterprise private deployment
Limitations
Freeplay can create misleading scores when datasets, judges, thresholds, or sampling are weak. Teams must calibrate evaluations, protect trace data, inspect evidence, monitor model-provider cost, and retain human release authority.
Pricing details
Billing options
Pricing note
Freeplay offers a Free plan at $0 with 10,000 logged completions per month, one project, ten test runs, and $5 in credits. Growth starts at $500 per month with a 14-day trial. Enterprise uses custom pricing and adds higher volume, self-hosting, SSO, SLAs, and premium support.
Supported languages
- English
Integrations
OpenAI-compatible instrumentation
REST API
Model providers
CI/CD workflows
Webhooks
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