Sandboxed execution
Runs each agent task inside an isolated Docker sandbox with tools, network access, and backing services such as Postgres, Redis, S3, and internal APIs so tests can reflect production-like behavior.
Polarity
Polarity provides sandboxed eval infrastructure for AI agents, with Keystone for isolated testing, benchmarking, replay, and production observability. It is aimed at teams shipping long-running or stateful agents that need real-service sandboxes and reproducible debugging.
Overview
Polarity is sandboxed eval infrastructure for AI agents. It combines isolated execution, evaluation, replay, and observability so teams can test and monitor agent behavior in production-like conditions.
The product is centered on Keystone, which runs agent tasks in isolated Docker sandboxes preloaded with real backing services such as Postgres, Redis, S3, and internal APIs. Polarity then evaluates runs against invariants and forbidden rules, measures non-determinism through replicas, and provides seed replay for failures so teams can reproduce the same environment locally.
Core capabilities
Rule-based evaluation
Scores runs against behavioral invariants and forbidden rules, helping teams define what correct behavior looks like before shipping changes.
Replica analysis
Uses replicas to measure non-determinism and compare outcomes across repeated runs, which is useful for stateful or long-running agents.
Seed replay
Ships failures with a seed reproducer that can recreate the same sandbox locally with one command, making regressions easier to debug.
Benchmarking and comparison
Supports benchmarking against canonical suites such as τ-bench, SWE-bench, and WebArena, as well as custom datasets and scoring functions.
Production monitoring
Provides real-time observability for production traces, including latency, cost, quality, tool-call inspection, and alerts.
Common use cases
Pre-release agent testing
Use Polarity to run agent tasks in isolated sandboxes that mirror production dependencies, so regressions surface before code reaches users.
Benchmarking agent changes
Use the benchmarking workflow to compare prompts, models, and agent versions on identical suites and datasets when deciding what to ship.
Production debugging
Use observability and trace replay to inspect tool calls, latency, cost, and quality after an incident or unexpected production result.
Controlled enterprise deployment
Use the enterprise deployment options when your team needs cloud, private cloud, or on-premises control plus SSO, SCIM, and audit logs.
Automation and integration
Use the docs and machine-readable resources to wire Polarity into internal automation, CI flows, or agent tooling.
Pros and Cons
Pros
- Uses isolated sandboxes with real backing services instead of mocked dependencies.
- Supports reproducible debugging with seed replay and local sandbox recreation.
- Covers evaluation, benchmarking, and observability in one workflow.
- Offers enterprise controls such as SSO, SCIM, RBAC, audit logs, and deployment flexibility.
- Has machine-readable resources such as OpenAPI, llms.txt, and agent cards for automation.
Cons
- The site is focused on AI agents and production workflows, so it is not positioned as a general-purpose eval tool for simple single-call prompts.
- Some product areas are only described at a high level on the public site, so integration and workflow specifics may require the documentation.
FAQ
Who is Polarity for?
Polarity is designed for teams running AI agents in production who need sandboxed evaluation, testing, and observability around multi-step workflows. The source positions it as a better fit for long-running, stateful agents than prompt-level eval tools built for simpler, single-call workflows.
How is Polarity priced?
The pricing page shows Starter, Pro, and Enterprise options. Starter is listed at $0 per month, Pro at $149 per month, and Enterprise uses custom pricing with a sales contact flow.
What is Keystone?
The site says Keystone is sandboxed eval infrastructure for AI agents. It runs tasks in isolated Docker sandboxes with real backing services, then supports run scoring, replay, and observability.
Can Polarity be deployed in a company-controlled environment?
The enterprise page says Polarity supports cloud, private cloud, and on-premises deployment options, along with SSO, SCIM, RBAC, audit logs, and dedicated support.
What documentation does Polarity provide?
The site links to documentation, an OpenAPI specification, llms.txt files, and agent cards, which suggests API and machine-readable resources are available for integration and automation.
Quick Facts
- Category
- AI agent eval infrastructure
- Primary product
- Keystone sandboxed runtime
- Primary users
- Teams shipping AI agents in production
- Pricing
- Starter, Pro, and Enterprise plans
- Deployment options
- Cloud, private cloud, and on-premises
- Source domain
- polarity.so
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