Phare records 5,982 monthly visits with +59.6% month-over-month growth and Freemium pricing. Raindrop records 42,807 monthly visits with -18.4% growth and Free Trial, Paid, Contact for Pricing pricing.
European uptime monitoring with incidents, alerts and status pages
Find and fix problems in your AI agents before users do
| Dimension / Metric | | |
|---|---|---|
| Official Domain | phare.io | raindrop.ai |
| Pricing Model | Freemium | Free Trial, Paid, Contact for Pricing |
| Monthly Visits | 5.98K (5,982) | 42.81K (42,807) |
| MoM Traffic Delta | +2.23K (+59.6%) | -9.63K (-18.4%) |
| Primary Market & Share | 🇫🇷 France (68.5%) | 🇺🇸 United States (77.1%) |
| Direct Visits / mo | 2.38K | 23.55K |
| User Rating | 4.1 | 4.4 |
| Supported Platforms | Website | Website |
European uptime monitoring with incidents, alerts and status pages
Monitor HTTP(S), TCP and ICMP targets on intervals as short as 30 seconds from 12 locations across Europe, Asia, America and Oceania, with per-region confirmation rules to avoid false alarms.
Outages become tracked incidents with full event timelines, comments and updates; AI drafts incident summaries and postmortem text so teams can focus on the fix.
Publish public or private status pages on your own domain with SSL, subscriptions via RSS, Atom and Slack, and IP, token or password gating.
Send notifications by email, SMS, voice, Slack, Discord or outgoing webhooks, with alert rules that keep noise out of on-call rotations.
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
SpecialistData observability that catches silent data quality issues before they spread
SpecialistData observability that catches silent data quality issues before they spread
Lean incident management and on-call for engineering teams
Lean incident management and on-call for engineering teams
Observe, evaluate and monitor AI agents in production
Observe, evaluate and monitor AI agents in production
