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
CloudVerse records 2,692 monthly visits with -32.8% 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.

One ledger for every dollar of AI and cloud spend
| Dimension / Metric | ![]() | |
|---|---|---|
| Official Domain | cloudverse.ai | openlayer.com |
| Pricing Model | Contact for Pricing | Freemium, Contact for Pricing |
| Monthly Visits | 2.69K (2,692) | 48.42K (48,415) |
| MoM Traffic Delta | -1.31K (-32.8%) | -3.3K (-6.4%) |
| Primary Market & Share | 🌐 Global (—) | 🇺🇸 United States (44.1%) |
| Direct Visits / mo | 1.04K | 25.94K |
| User Rating | 4.2 | 4.4 |
| Supported Platforms | Website | Website |

One ledger for every dollar of AI and cloud spend
AI, cloud, data, engineering and SaaS costs recorded on one data model with the same columns: amount, event, owner, verdict and next action.
Budget caps, policy enforcement and per-call settlement at the execution path, with evidence and audit trails recorded after each run.
Allocation, anomaly detection, commitment coverage and chargeback across AWS, Azure, Google Cloud and eight additional providers.
Cost signals surfaced inside pull requests before merge, plus Kubernetes cost attribution down to service, team and owner.
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
Autonomous cloud cost optimization that pays for itself
Autonomous cloud cost optimization that pays for itself

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

Free / Open-sourceGroup buying that cuts your cloud and AI bills for free
Free / Open-sourceGroup buying that cuts your cloud and AI bills for free

AI value measurement platform connecting AI spend to real business outcomes
AI value measurement platform connecting AI spend to real business outcomes

SpecialistThe control plane for trusted enterprise agents and models
SpecialistThe control plane for trusted enterprise agents and models
Full-stack observability with an AI SRE agent that fixes issues
Full-stack observability with an AI SRE agent that fixes issues