Describe
Explain the AI job in normal language. No benchmark knowledge needed.
AI OBSERVABILITY + LLM MONITORING
Choose the right AI.Monitor it in production.Fix failures before users notice.
Compare AI providers before launch, then monitor OpenAI, Anthropic, Gemini, Groq and other LLMs in production. AgentLens explains reliability, latency, errors and cost without collecting your prompts.
Transparent scoring Provider keys stay local One-command tests
INCIDENT 412
Last 60 minProvider degradation
Success rate61.2%↓ 37.2%
p95 latency2.8s3.1× slower
Calls observed12,402live sample
baseline 98.4%
12:0012:2012:4013:00
No prompt content collectedUpdated 4s ago
Likely root causeProvider rate limitingConfidence 94%
Safest route nowSwitch to Anthropic99.1% success · 410ms
OPENAIANTHROPICGROQGEMINIMISTRALAZURE AIOPENAIANTHROPICGROQGEMINIMISTRALAZURE AI
7supported provider paths
3visible synthetic checks
1local runner command
0raw responses uploaded
FROM SIGNAL TO ANSWERNot another dashboard.
Not another dashboard.
A decision, with evidence.
AgentLens turns scattered provider behavior into one clear incident story: what changed, why it matters, and what your team should do next.
Baseline normal
Latency begins rising
Success rate drops
AgentLens opens incident
Safer route recommended
AGENTLENS ANSWERReady
Route new traffic to Anthropic.
OpenAI is rate limiting this workload. Anthropic is handling a matching request profile at 99.1% success with normal latency.
94% root-cause confidence12,402 calls compared
THE DIFFERENCE
Your support inbox should never be your monitoring system.
WITHOUT AGENTLENS
Customer complaintProvider dashboardRaw logsGuess the cause
WITH AGENTLENS
Incident detected
OpenAI success fell to 61%.
Root causeRate limiting
Safest actionRoute to Anthropic
HOW IT WORKSFrom idea to evidence.
From idea to evidence.
Then production confidence.
One guided path for choosing, connecting, and monitoring AI—without replacing the stack you already use.
Compare
Run the same synthetic checks locally across your selected providers.
Choose
See the best fit for your quality, speed, reliability, and cost priorities.
Connect
Install one helper without replacing your existing AI integration.
Monitor
Keep watching the choice with evidence from real production behavior.
Guided AgentLens setup
npx agentlens initBUILT FOR THE INCIDENTEvery view moves the
Every view moves the
investigation forward.
Hover and explore: each surface reveals the evidence behind the recommendation instead of hiding it behind decoration.
PROVIDER MATCHNo universal “best model.”
No universal “best model.”
Only the best fit for your job.
Every provider receives the same visible synthetic checks. AgentLens weights instruction fit, reliability, speed, and cost around what matters to your product.
ProviderReliabilityLatencyDecision
OpenAI
61%
2.8sDegradedAnthropic
99%
410msRecommendedGroq
100%
180msFastestGemini
97%
520msStableEXPLAINABLE BY DEFAULT
The recommendation is only useful if you can trust it.
Every answer links back to the observations that produced it. No opaque reliability score and no hidden prompt content.
- Production telemetry only
- Evidence attached to every conclusion
- Provider-neutral recommendations
INVESTIGATION / 41294% confidence
Why did success rate fall?
1
Request volumeNormal · not causal
2
Application releaseNo changes in window
3
Provider response codes429 responses increased 8.6×
4
ConclusionRate limiting is the likely cause
OPEN SOURCEYour reliability layer
Your reliability layer
should not be a black box.
Inspect the collection path, run the stack yourself, and keep ownership of your operational data.
TypeScript Python Self-hostable Multi-provider
Explore AgentLens on GitHub SIMPLE PRICINGTest before you commit.
Test before you commit.
Pay when you grow.
Clear monthly pricing in INR. Provider usage is paid directly through your own accounts; AgentLens checkout is handled by Razorpay.
FREE
₹0
For choosing and watching your first AI feature.
- 3 comparisons each month
- 1 monitored project
- Local private runner
PRO BEST FOR FOUNDERS
₹1,499 /month
For founders testing and operating several AI features.
- 25 comparisons each month
- Up to 5 monitored projects
- Full transparent scorecards
SCALE
₹4,999 /month
For teams evaluating AI across multiple products.
- 200 comparisons each month
- Up to 25 monitored projects
- Priority setup support
SEE IT BEFORE THEY DOYour next AI incident
Your next AI incident
already has an answer.
Start monitoring real production behavior in minutes.