Censius records 0 monthly visits with -100% month-over-month growth and Free Trial, Paid pricing. Openlayer records 48,415 monthly visits with -6.4% growth and Freemium, Contact for Pricing pricing.
AI observability platform for monitoring, explaining, and debugging production ML models
AI governance, testing, and observability for regulated enterprises
| Dimension / Metric | | |
|---|---|---|
| Official Domain | censius.ai | openlayer.com |
| Pricing Model | Free Trial, Paid | Freemium, Contact for Pricing |
| Monthly Visits | 0 (0) | 48.42K (48,415) |
| MoM Traffic Delta | -1.14K (-100%) | -3.3K (-6.4%) |
| Primary Market & Share | 🌐 Global (—) | 🇺🇸 United States (44.1%) |
| Direct Visits / mo | 0 | 25.94K |
| User Rating | 4.2 | 4.4 |
| Supported Platforms | Website | Website |
AI observability platform for monitoring, explaining, and debugging production ML models
Configure performance, data quality, and drift monitors across unlimited models and model versions, with instant alerts whenever a violation is detected.
Zoom into a flagged violation and follow a guided roadmap to locate the underlying cause, moving from a symptom to a diagnosis without manual debugging.
Build fully customizable dashboards that combine monitoring and RCA insights so teams can plan the next model version with evidence.
Understand and communicate model decisions with explainability features designed for both technical teams and business stakeholders.
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.
SpecialistUnified observability, security and incident response for cloud-scale engineering teams
SpecialistUnified 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
SpecialistThe control plane for trusted enterprise agents and models
SpecialistThe control plane for trusted enterprise agents and models
Find and fix problems in your AI agents before users do
Find and fix problems in your AI agents before users do
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
SpecialistData observability that catches silent data quality issues before they spread
SpecialistData observability that catches silent data quality issues before they spread
