SpecialistUnified observability, security and incident response for cloud-scale engineering teams

HookWatch records 1,095 monthly visits with +797.5% month-over-month growth and Freemium, Free Trial, Free pricing. Raindrop records 42,807 monthly visits with -18.4% growth and Free Trial, Paid, Contact for Pricing pricing.

Capture, debug, and replay failed webhooks before your users notice
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | hookwatch.dev | raindrop.ai |
| Pricing Model | Freemium, Free Trial, Free | Free Trial, Paid, Contact for Pricing |
| Monthly Visits | 1.1K (1,095) | 42.81K (42,807) |
| MoM Traffic Delta |
|---|
| +973 (+797.5%) |
| -9.63K (-18.4%) |
| Primary Market & Share | 🇫🇷 France (100%) | 🇺🇸 United States (77.1%) |
|---|
| Direct Visits / mo | 403 | 23.55K |
|---|
| User Rating | 4.2 | 4.4 |
|---|
| Supported Platforms | Website | Website |
|---|

Capture, debug, and replay failed webhooks before your users notice
Each endpoint gets a HookWatch URL that receives and forwards webhooks, recording status, provider, response code, latency, and attempt count for every delivery.
Re-send an exact captured payload after a fix, with manual replay and retry policies instead of recreating the event by hand.
Failed deliveries are categorized by reason — signature mismatch, timeout, 5xx, rate limit — so you know what broke without grepping logs.
Recurring failures group into a single incident routed to Slack or a webhook, so a flaky endpoint shows up as one problem.

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


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SpecialistUnified observability, security and incident response for cloud-scale engineering teams
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
SpecialistThe collaboration layer for AI engineering teams
Standardize LLM evaluation, observability, and red teaming across your whole org
SpecialistRank tracking and AI visibility in one unified SEO platform
AI governance, testing, and observability for regulated enterprises
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
Collaborative AI agents for production software engineering