AI Tool
Modelmetry pricing, features, company info, and alternatives
A factual product page for Modelmetry as an LLM guardrails and observability platform.
Last updated April 2026 · Pricing and features verified against official documentation
Pricing
Current public pricing tiers on file for Modelmetry, last verified Apr 26, 2026.
Forever Free
$0.00 / month
Includes 500 checks, 500 spans, 1 team member, and unlimited analytics, evaluators, traces, and findings.
Small
$29.00 / month
Includes 10,000 checks, 10,000 spans, and 2 team members.
Large
$99.00 / month
Includes 200,000 checks, 200,000 spans, 10 team members, and custom RBAC.
What You Can Do With It
The main capabilities that shape how people use Modelmetry today.
Runs evaluators for jailbreaks, prompt injection, groundedness, PII leakage, JSON validation, and other output checks.
Combines guardrails, observability, traces, spans, metrics, findings, and automations in the same product.
Offers configurable evaluators and instances so teams can adapt checks to specific payloads and policies.
Ships JavaScript and Python SDKs plus programmatic API-key access for instrumentation.
Best For
Who Modelmetry is most clearly built for.
Developers who want runtime guardrails and observability for LLM features in the same platform.
Teams that need configurable evaluators for prompt injection, hallucination, PII, or schema validation.
Organizations that want programmatic instrumentation through SDKs rather than a UI-only review workflow.
Platforms
Where you can use Modelmetry today.
Web
JavaScript SDK
Python SDK
Integrations
Notable connected tools and ecosystem hooks for Modelmetry.
OpenAI
Anthropic
Google AI
AWS Bedrock
Azure AI
Privacy Notes
Publicly stated data-handling notes that matter when evaluating Modelmetry.
Modelmetry says it stores inputs and outputs so users can review them alongside metrics and scores.
The homepage also says Modelmetry does not access payloads on a customer's behalf unless the customer authorizes it.
The secrets documentation says secrets are encrypted at rest and only decrypted when used to authenticate with external services.
Access
How to integrate or build around Modelmetry.
Public API
Yes
Docs
Available
Alternatives
Other tools worth considering alongside Modelmetry.
Framework-agnostic platform for observability, evaluation, and deployment of AI agents and LLM apps.
LLM gateway and observability platform for routing, debugging, and cost tracking across model providers.
AI observability and evaluation platform for tracing, scoring, and improving production AI applications.
Open-source AI observability and evaluation platform for tracing, prompt iteration, and experiments.
Product Snapshot
Modelmetry is an LLM guardrails and observability platform for checking prompts, outputs, and traces against safety and quality rules. The public site emphasizes evaluators, configurable guardrails, traces, metrics, and SDK-based instrumentation.
What You Can Do With It
- Run evaluators for jailbreaks, prompt injection, groundedness, PII leakage, JSON validity, and other output checks.
- Instrument applications with JavaScript or Python SDKs and review spans, findings, and metrics in the web app.
- Configure custom evaluator instances and automations around specific payload and policy requirements.
- Manage secrets and API keys for programmatic use of the platform.
Why It Stands Out
It focuses on runtime guardrails and evaluator-driven checks rather than only trace collection or offline experimentation.
Tradeoffs To Know
- The public materials reviewed here do not publish much company-context detail beyond brand-level legal pages.
- The product is oriented toward developers and engineering teams, not non-technical review workflows.
- Public pricing is clear for the current self-serve plans, but the reviewed materials do not spell out a broader enterprise packaging structure.