Fiddler AI records 44,204 monthly visits with -10.2% month-over-month growth and Contact for Pricing pricing. Openlayer records 48,415 monthly visits with -6.4% growth and Freemium, Contact for Pricing pricing.
The control plane for trusted enterprise agents and models
AI governance, testing, and observability for regulated enterprises
| Dimension / Metric | | |
|---|---|---|
| Official Domain | fiddler.ai | openlayer.com |
| Pricing Model | Contact for Pricing | Freemium, Contact for Pricing |
| Monthly Visits | 44.2K (44,204) | 48.42K (48,415) |
| MoM Traffic Delta | -5.04K (-10.2%) | -3.3K (-6.4%) |
| Primary Market & Share | 🇺🇸 United States (28.4%) | 🇺🇸 United States (44.1%) |
| Direct Visits / mo | 9.13K | 25.94K |
| User Rating | 4.4 | 4.4 |
| Supported Platforms | Website | Website |
The control plane for trusted enterprise agents and models
See the performance of every agent and predictive model in a single pane of glass, with every action, token and dollar traceable by user and team.
Fiddler Centor Models power policy enforcement and continuous evaluation inside your network, avoiding external LLM API calls and their hidden costs.
Detects and redacts PII, PHI and secrets on the same request path — before a prompt reaches the model and before a response reaches the developer — with sub-80ms latency.
Keeps a living inventory of every connected agent and records each enforcement decision, with who triggered it and what happened, ready for GRC and AI regulation audits.
AI governance, testing, and observability for regulated enterprises
Dozens of pre-built evaluations cover quality, safety, security, and performance, with LLM-as-a-judge scorers, session-level metrics, and support for writing your own custom tests against your own data.
Import a repository and run evaluation suites automatically on every change, benchmark each iteration, and block releases when a metric regresses beyond the threshold you define.
Trace every request through multi-step agent workflows, including tool calls and retriever steps, with token counts, latency, cost per request, alerting integrations, and subpopulation analysis.
Register each AI system with an owner, purpose, data sensitivity, and risk tier, score inherent risk across multiple dimensions, and move systems through staged approval gates before they reach production.
Free / Open-sourceUnified observability, security and incident response for cloud-scale engineering teams
Free / Open-sourceUnified observability, security and incident response for cloud-scale engineering teams
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
SpecialistAttack-led AI security testing and red teaming
SpecialistAttack-led AI security testing and red teaming
Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents
Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
SpecialistThe collaboration layer for AI engineering teams
SpecialistThe collaboration layer for AI engineering teams
Standardize LLM evaluation, observability, and red teaming across your whole org
Standardize LLM evaluation, observability, and red teaming across your whole org
AI-powered cloud DLP and security awareness training for SaaS environments
AI-powered cloud DLP and security awareness training for SaaS environments
Full-stack observability with an AI SRE agent that fixes issues
Full-stack observability with an AI SRE agent that fixes issues
Enterprise AI governance platform for agents, models, and vendors
Enterprise MCP governance for secure, cost-efficient AI agents
Observe, evaluate and monitor AI agents in production
Observe, evaluate and monitor AI agents in production
