Unified observability, security and incident response for cloud-scale engineering teams
Unified observability, security and incident response for cloud-scale engineering teams
Raindrop records 42,807 monthly visits with -18.4% month-over-month growth and Free Trial, Paid, Contact for Pricing pricing. Voker records 3,234 monthly visits with -32.6% growth and Freemium, Free Trial, Contact for Pricing pricing.

Analytics for AI agents.
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | raindrop.ai | voker.ai |
| Pricing Model | Free Trial, Paid, Contact for Pricing | Freemium, Free Trial, Contact for Pricing |
| Monthly Visits | 42.81K (42,807) | 3.23K (3,234) |
| MoM Traffic Delta | -9.63K (-18.4%) | -1.57K (-32.6%) |
| Primary Market & Share | 🇺🇸 United States (77.1%) | 🇺🇸 United States (96.3%) |
| Direct Visits / mo | 23.55K | 1.27K |
| User Rating | 4.4 | 4.1 |
| Supported Platforms | Website | Website |

Find and fix problems in your AI agents before users do
See every message, tool call and decision in a run, with inputs, outputs and durations, so you can pinpoint where a run broke down.
Recurring failures are grouped into issues with severity, affected users, last-seen time and a confidence score, instead of scattered alerts.
An agent investigates issues and automates follow-up across Slack, the web app and MCP, so debugging happens where your team already works.
Run scenarios against a change on a pull request and compare results with real traffic to catch regressions before merge.

Analytics for AI agents.
Wrap your existing OpenAI, Anthropic, Gemini or Vercel AI SDK client and every call is instrumented automatically with agent and session context.
Voker organizes activity by agent and by session, so you can follow a single conversation end to end and see how it developed.
Understand which intents users bring to your agent and how well the agent handles them, revealing where prompts or flows need work.
If you need more control, create custom events through the SDK or REST API to capture exactly the behavior you care about.
Unified observability, security and incident response for cloud-scale engineering teams
Unified observability, security and incident response for cloud-scale engineering teams

Free / Open-sourceOne key for 4,100+ agent tools, pay per call

Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
AI gateway, observability and guardrails for production LLM apps

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

Automated QA, simulation and observability for voice and chat AI agents

Verified agentic infrastructure for mission-critical enterprise systems

Free / Open-sourceAgent observability, evals and governance for AI platform teams
Free / Open-sourceAgent observability, evals and governance for AI platform teams

Free / Open-sourceOpen-source observability that finds your AI agent's failures — and fixes them
Free / Open-sourceOpen-source observability that finds your AI agent's failures — and fixes them