What brokeWhy it brokeHow to fix itZero noise
Benchmark
Root Cause Accuracy
How it works
01
Autonomous monitoring that results in zero noise
Foam ingests every error across every service. It combines static signals with LLM judgment to decide what to investigate and alert on, and what should be ignored.
authjwt expired · req_3a2b
checkoutOutOfMemoryError at queryUser:42investigating
card-storepool exhausted · req_9c4r
payments503 timeout · upstream
billingpayment_failed spikeinvestigating
2 flagged 3 silenced
02
Discovers why it broke and how to fix it
Foam investigates across your entire stack including services that aren't even remotely in the original error.
03
Fixes it or tells the right person or agent exactly how to fix it
The right person or agent receives a Slack message with the report. From here they can create a PR or send it to their favorite coding agent.
Last touched the file
@sarah · refactored connection pool wrapper · f9e8d7c
Should be notified
@alex · pool config change · a1b2c3d
Foam
3:07 AMHey @alex, checkout is OOMing in prod.
The root cause points to your pool config change in a1b2c3d.
Set up
ConnectFoam takes it from there.
Foam studies your stack, proposes PRs to install itself.
Once deployed, Foam is listening.
We Work With Startups Too
“I requested a feature on Friday night. By Saturday morning, it was live for us to use.”
“Foam cut through our noisy alerts. Now I just let Foam ping me with the issue and root cause.”
“Before our team even starts investigating, Foam has already debugged the error and pointed us to the cause.”
“I went from spending hours trying to debug stack traces to reading a Foam report and knowing what to do in seconds.”