Root cause: DB connection pool exhausted
Fix: Increase pool size (10 → 30)
Confidence — locked in preview. Sign in to connect Slack
ProdRescueIncident workspace
Evidence-first incident RCA
Stop guessing.Find the root cause.
Paste logs or Slack threads—or run /incident where your team already works (Pro). Get a structured, cited RCA built for modern on-call, not generic chat.
Time to first draft
Minutes
Typical incident run
Evidence
Log-linked
Claims cite your lines
Pricing
Usage-based
Plans in app after sign-in
Interactive preview aboveEphemeral processingTrusted by 100+ engineers
Powered by GPT-4o + Claude Sonnet + Gemini 2.5 Pro
Multi-model pipeline — best model for each step
prodrescue — incident
◆ live preview
$ paste logs
$ output
Run Analyze to see a preview (root cause + fix). Sign in for full RCA; pricing is available in your account after login.
Interactive preview — root cause + fix. Full RCA and history after sign-in.
Integrations
Connects to the stack you already ship
Slack war rooms and `/incident` on Pro — then GitHub deploy signals when you move up to Team. Plus cloud logs, no forklift.
The problem
Debugging incidents is messy
Logs are noisyErrors are unclearEveryone guesses
ProdRescue shows what broke—with line-level citations, not vibes.
Sample
Demo output
Product
Everything in one workspace
Structured output for production—not another noisy chat thread.
Find the root cause
Pinpoint what broke from raw logs in seconds.
Understand logs instantly
Turn noisy traces into a clear failure story.
Get fix suggestions
Receive next actions you can ship right away.
Why not generic AI
Built for production reliability
Stop cowboy troubleshooting. Run structured incident response.
ProdRescue is designed for incident workflows, not generic chat. It verifies claims with evidence, filters noisy logs, and connects cross-stack signals into a clear root-cause path.
01Pillar
Evidence over guesses
Every conclusion maps back to real log lines.
Proof
Claim + source line references in one report.
02Pillar
Workflow, not chat noise
Output is structured for incident response and handoff.
Proof
Timeline + RCA + action items in board-ready format.
03Pillar
Context filter for noisy logs
ProdRescue pre-filters signal before deep analysis.
Proof
Error/warn + correlation context, not 5k-line dump.
04Pillar
Multi-stack incident context
Logs, Slack context, and deploy signals are reconciled.
Proof
Cross-team symptom + root-cause chain in one narrative.
Board-ready exports
Copy your RCA and paste directly into your incident ticket workflow.
JiraConfluenceNotion
Context filter + multi-stack example
Input stream
5,000 raw lines + Slack thread + deploy metadata
ProdRescue output
Relevant error chain, correlated IDs, and cross-team narrative with evidence links.
Example: Frontend reports latency, but correlated backend logs show DB connection timeout after a recent service deploy. ProdRescue links the timeline, evidence lines, and likely fault boundary in one RCA.
Pricing
Simple, transparent
Start free. Pay when you need full depth with a flat $5 incident run.
Transparent usage · No surprise seat fees · Upgrade or downgrade anytime
Starter
Free
$0
1 analysis included
- Fast RCA preview
- Root cause + fix summary
- No migration required
Most popular
Pay-per-use
$5
Per incident
Flat price · no surprises
- Full incident debugging output
- Built for urgent one-offs
- Continue instantly after free tier
Recurring teams
14-day trialPro
$29/mo
Unlimited analyses + Slack integration
Start with a 14-day free trial
- Unlimited analyses
- Slack in-channel RCA (/incident, mentions)
- For frequent on-call teams
- 14-day trial before billing
Contact
Talk to us about your incident workflow
Share your use case, integration needs, or rollout questions. We will reply with a practical setup path.
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