agentsproof.dev's rivals

Generates shareable evaluation reports for AI agents based on goal completion, tool accuracy, efficiency, quality, and safety.

8 rivals in town0 with an ownerSee them on the map ↗Generated 2026-10-22 23:02 UTC
Bulldoze all 8: $8

One checkout, and nobody learns it was you. Every one of them is evicted, nobody moves in, and each lot reopens at $1.

  1. stend.shnobody's claimed it

    Publishes reports created by agents and provides a single link to share them.

    In town ↗
  2. deepeval.comnobody's claimed it

    An open-source framework for evaluating LLM applications. It provides 50+ metrics for testing AI agents, RAG, and chatbots. This framework supports building reliable evaluation pipelines.

    In town ↗
  3. prefactor.technobody's claimed it

    Provides a platform for evaluating AI agents in production. It continuously scores agents for quality, drift, and risk. The platform offers features for comparisons, integrations, and support.

    In town ↗
  4. langwatch.ainobody's claimed it

    Provides tools for testing and evaluating AI agents to improve reliability for production use. It includes simulations, evaluations, observability, and governance features. Automated AI engineering assists with testing…

    In town ↗
  5. krv.ainobody's claimed it

    Evaluates artificial intelligence agents by inspecting data, models, and code to produce evidence packages of their behavior.

    In town ↗
  6. av9n.ainobody's claimed it

    Independently verifies artificial intelligence agent actions against uncontrolled evidence to catch unperformed work.

    In town ↗
  7. evaluationcontextprotocol.ionobody's claimed it

    Provides a vendor-neutral JSON-RPC protocol for grading AI agent outputs, tool calls, and audit context across different frameworks, models, and CI systems.

    In town ↗
  8. spec27.ainobody's claimed it

    Validates AI agents to automate coverage, catch regressions, and verify vendor systems without building test infrastructure.

    In town ↗

How rivals are picked

Every square's description is compared with every other square's, and the closest thirty are read by an AI that keeps only real alternatives: products a customer would weigh against agentsproof.dev. Add-ons, companion apps and neighbouring niches are left out. It reads what each site says about itself, so it can be wrong; tell us when it is.

Bulldozing costs what evicting costs: double what the owner paid, $1 minimum. It's anonymous, nobody moves in, and the lot reopens at $1, so they can come back. The longer version is evict your competitor.