AgentsProof

AgentsProof

AgentsProof is an SDK and service that captures agent traces, grades runs against custom rules and approved test cases (Goldens), and produces shareable proof reports to verify and monitor AI agent behavior.

AgentsProof is ai agents software teams evaluate for ai agents. Use this page to review pricing, integration signals, and the best alternatives before you commit.

Free API 70/100
#496 in AI Agents (496 tools)
Added 1 month ago
Data reviewed Jul 16, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

Best for: AI Agents

What it does

AI Agents software for decision-makers comparing workflow fit and alternatives.

Best fit

AI Agents

Pricing snapshot

Free from $0 Forever

Next step

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AgentsProof

AgentsProof is an SDK and hosted service that instruments AI agents to capture execution traces, grade runs against user-defined graders and approved test cases (Goldens), and generate public or private shareable proof reports. It targets builders and teams who need deterministic, explainable verification of agent behavior by combining deterministic trace assertions, LLM-based graders, and automatically generated synthetic variants of test cases. Integrations are designed to work with any LLM framework and the product provides a minimal Node/edge SDK to start capturing traces and producing report URLs in minutes.

Drop AgentsProof into your agent in 30 seconds. Get a public URL that proves it works — scored on goal completion, tool accuracy, efficiency, quality, and safety.

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Key Features

SDK & Instrumentation (run.trace)

Lightweight Node/edge SDK with run.trace to wrap LLM and tool calls and capture a structured trace of each agent run.

Custom Graders

Define what 'good' means in plain English; every run is automatically graded against these rules and graders can be pinned to Goldens.

Goldens (Executable Test Specs)

Turn a passing run into an executable test spec with success criteria, expected behavior, and trace assertions; can be run on demand or batched in suites.

Trace Assertions

Structured, deterministic checks (for example: must_not_call, max_steps) that cause immediate failures if the agent violates them.

Synthetic Variants

AI-generated edge-case variants from approved Goldens to expand test coverage without writing tests by hand.

Proof Suites & Reports

Run approved Goldens in a suite with a single SDK call and generate shareable proof reports showing per-criterion pass/fail and multi-axis scores.

Public & Private Shareable Reports

Generates a publicUrl for each run/report to share results and proof that an agent met its success criteria.

Works with Any LLM Framework

Designed to integrate with a variety of LLM providers and tool frameworks.

Pricing

Free Tier Available

Free plan with 1 project, 200 eval runs/month, default LLM grader, 10 Golden test cases, 1 proof suite, public reports, and basic email support.

Free

$0 Forever
  • 1 project
  • 200 eval runs / month
  • Default LLM grader
  • 10 golden test cases

Pro

$29/month or $290/yr
  • Unlimited projects
  • 10,000 eval runs / month
  • Unlimited custom graders
  • Unlimited golden test cases

Use Cases

Regression detection after prompt or code changes

When prompts or code change and behavior breaks, AgentsProof catches regressions by grading real runs and failing Goldens or trace assertions.

Continuous verification and CI for agents

Run proof suites (batch of Goldens) to continuously validate agent behavior before shipping or after updates.

Shareable evidence of agent correctness

Create public or private proof reports to demonstrate to stakeholders that an agent meets specified success criteria.

Expand test coverage with synthetic edge cases

Automatically generate variants from approved Goldens to discover edge-case failures without hand-writing additional tests.

Integrations

OpenAI

Listed among providers/frameworks the product works with.

Anthropic

Listed among providers/frameworks the product works with.

LangChain

Listed integration / framework for agent workflows.

CrewAI

Listed among integrations/frameworks on the page.

Vercel AI SDK

Listed among providers/frameworks the product works with.

LlamaIndex

Listed among integrations/frameworks on the page.

Benefits

Catch regressions and broken behavior quickly by grading real runs against defined success criteria
Reduce manual testing effort through AI-generated variants and automated graders
Create explainable, shareable proof reports for stakeholders and audits
Integrates with existing agent/LLM code with minimal setup (5-minute SDK setup claim)

Limitations

Currently in beta (page header: 'Now in beta')
Free tier is rate-limited to 200 eval runs per month

Frequently Asked Questions

No verified FAQs are available.

Getting Started

  1. 1 Step 1: Install the SDK (npm i agentsproof)
  2. 2 Step 2: Instrument your agent by wrapping LLM and tool calls with run.trace
  3. 3 Step 3: Define custom graders in plain English via the Dashboard → Graders
  4. 4 Step 4: Save passing runs as Goldens to set success criteria and trace assertions
  5. 5 Step 5: Run proof suites (one SDK call) to evaluate approved Goldens and generate reports

Support

email

Basic email support included on the Free plan; priority email support included on Pro plan.

docs

Documentation and dashboard features are provided on the site (Dashboard → Graders → New rule referenced).

API

Available: Yes
Documentation:

https://www.agentsproof.dev/

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