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Freeplay

Freeplay helps AI teams manage prompts, datasets, evaluations, experiments, and production observability.

Freeplay

In inglese

Freeplay is a platform for developing and operating AI applications. Teams can monitor production logs, manage prompts and models, build datasets, run evaluations, compare experiments, and track usage, cost, and latency.

It is used by engineers, data scientists, product managers, designers, and subject-matter experts. A free plan is available with usage limits; Growth starts at $500/month, while Enterprise pricing is custom. Freeplay also offers SDKs and API access for application integration.

Features

  • Monitor AI applications with search, analytics, cost, latency, and evaluation metrics
  • Version prompts, models, and hyperparameters together
  • Experiment with prompts and models in a collaborative playground
  • Run model-graded, code-based, and human evaluations
  • Create and compare automated batch tests
  • Curate datasets from production logs or upload custom data
  • Use AI insights, prompt optimization, and assisted evaluation generation
  • Integrate through Python, Node.js, Java, and Kotlin SDKs

Use cases

  • Monitor production AI logs and investigate cost, latency, and quality issues
  • Compare prompt or model versions against saved datasets
  • Create evaluation datasets from real user interactions
  • Run automated evaluations on prompts and agent workflows
  • Review and annotate AI outputs with human evaluation workflows
  • Track LLM usage and spending across providers and environments

Pros

    Cons

      Latest updates

      • Freeplay MCP Server (Experimental)

        Integrate Freeplay capabilities into MCP-compatible tools and workflows with an experimental Model Context Protocol server.

      • 🏚️ Project Home Page

        Added a Home page to every project with key metrics, insights about the project, and bookmark-able metrics.

      • 🤖 Models

        Claude Opus 4.6 added to the prompt playground; Claude Haiku 4 models support image and file uploads via Anthropic API and AWS Bedrock.

      • 🔧 API

        Filter deleted users with include_deleted, reactivate soft-deleted users, get insights from the API, and filter search by insight_id.

      • 🐛 Bug fixes / Improvements

        UI improvements include scrollable evaluation explanations, better test run comparison alignment, and standardized tab styling.

      Pricing

      Starting price
      Free
      Prices checked
      2026-09-25

      Free

      $0/month

      • Unlimited users
      • Unlimited auto-evals
      • 10,000 completions logged per month
      • 1 project
      • 10 test runs per month
      • $5 Freeplay credits

      Growth

      Starts at $500/month*

      • Unlimited users
      • Unlimited auto-evals
      • 100,000 completions logged per month
      • 5 projects
      • 50 test runs per month
      • Custom options available

      Enterprise

      Custom Pricing

      • 500,000 completions per month
      • Self-hosting
      • SSO / SAML
      • SLAs
      • Bring your own models
      • Dedicated Forward Deployed AI Engineer
      • Custom trainings & premium support services
      Official website