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For side projects, evals, and internal tools.
$0/ month
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Start free- 10 GB telemetry
- 5K replays
- 500 AI credits
Included
- AI triage on new issues
- 500 AI credits / month (an investigation uses 50)
- 1 project
AI-native observability. Every root cause cites its evidence, and Squasher checks that the fix held after deploy. No per-seat pricing. OpenTelemetry-native.
Free plan. No credit card required. Or let your coding agent set it up.
This is the Squasher dashboard. Click around, or follow the steps.
acmecheckout-apiExplore
Search⌘ KLogs
Live| Level | Timestamp | Message |
|---|---|---|
| info | 14:06:13.251 | POST /api/checkout 500 in 2.31 s |
| error | 14:06:13.246 | TypeError: Cannot read properties of undefined (reading 'amount') |
| warn | 14:06:13.244 | pricing: price still pending at render |
| info | 14:06:12.988 | order 7f13 received, currency EUR |
| info | 14:06:12.730 | GET /api/cart 200 in 84 ms |
| info | 14:06:12.114 | cart.load cart=8f21 items=3 |
Example project and data
Errors show what broke. Logs, traces, and replays show why, linked by trace and session ID.
error at 1:031:40
| OK | support.reply | 1.2k tok | 840 ms |
| OK | tool lookup_order | 210 tok | 95 ms |
| Slow | summarize.ticket | 3.4k tok | 2.1 s |
| OK | support.reply | 1.1k tok | 790 ms |
Previews show example data.
AI triage is on every plan. Incident alerts in Slack carry the impact, the likely cause, and a next step.
#incidents


12SquasherAPP2:06 PM
checkout-api: error burst
Severity: SEV-2Status: Investigating
Started 4m after deploy of checkout-api@a41c
▸ Impact
Error logs on checkout-api went from 3 to 41 a minute. Checkouts return 500.
▸ Root cause
The errors began 4 minutes after checkout-api@a41c deployed. That release is the likely cause.
▸ Recommended action
Roll back a41c, or open the TypeError issue and run Create fix.
Monitor: checkout errors · Opened 2:06 PM
SquasherAPP2:31 PM
checkout-api: error burst
Severity: SEV-2Status: Resolved

Example alert.
Paste it into your coding agent. It installs Squasher, sends one real event, and reports what changed. Then it can use Squasher to debug.
Or set it up yourself
Install Squasher for this project. If Squasher skills or MCP are not configured in this agent environment, run `bash <(curl -fsSL https://squasher.ai/install.sh) --agents -y`. Then read https://skills.squasher.ai/squasher-onboard/SKILL.md, map every runnable app/service/worker/frontend/agent in the repo, choose the matching Squasher SDK, log drain, OTLP, or Agent SDK path, initialize with SQUASHER_API_KEY and SQUASHER_PROJECT_ID from environment variables, send one real verification event, and report the files changed plus the verification step. Do not hardcode or reveal real API keys.bash <(curl -fsSL https://squasher.ai/install.sh) --agents -yStart free. Invite the whole team. AI triage is included on every plan.
For side projects, evals, and internal tools.
$0/ month
No card needed. No overage charges.
Start freeIncluded
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Connect one service and send one real event. The crew takes it from there.
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