Nadi records 60 monthly visits with -74.9% month-over-month growth and Free Trial, Freemium, Paid pricing. Raindrop records 42,807 monthly visits with -18.4% growth and Free Trial, Paid, Contact for Pricing pricing.
Crash care companion with error tracking, traces and real user monitoring
Find and fix problems in your AI agents before users do
| Dimension / Metric | | |
|---|---|---|
| Official Domain | nadi.pro | raindrop.ai |
| Pricing Model | Free Trial, Freemium, Paid | Free Trial, Paid, Contact for Pricing |
| Monthly Visits | 60 (60) | 42.81K (42,807) |
| MoM Traffic Delta | -179 (-74.9%) | -9.63K (-18.4%) |
| Primary Market & Share | 🇲🇾 Malaysia (100%) | 🇺🇸 United States (77.1%) |
| Direct Visits / mo | 24 | 23.55K |
| User Rating | 4.2 | 4.4 |
| Supported Platforms | Website | Website |
Crash care companion with error tracking, traces and real user monitoring
Ten issue types tracked with full stack traces, smart deduplication and affected-user tracking, from exceptions and slow queries to queue jobs and scheduler runs.
Core Web Vitals, sessions, JS errors, page loads, network timings and rage-click detection, with source map deobfuscation for readable traces.
A configurable rules engine that pushes alerts to Slack, Microsoft Teams, Telegram, webhooks or email, with acknowledgement and resolution history.
Data isolation per organization, team roles and permissions, grouped projects, invitations and complete audit trails.
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.
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
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
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
Full-stack observability with an AI SRE agent that fixes issues
Full-stack observability with an AI SRE agent that fixes issues
Observe, evaluate and monitor AI agents in production
Observe, evaluate and monitor AI agents in production
SpecialistEuropean uptime monitoring with incidents, alerts and status pages
SpecialistEuropean uptime monitoring with incidents, alerts and status pages
SpecialistThe debugging agent that connects your coding agent to production
SpecialistThe debugging agent that connects your coding agent to production
