Self-Healing AgentsObservability Optimization
Your agents break.We fix them.
Every tool shows you what broke. Risicare captures the decision behind it and classifies the failure — diagnosis and fix generation launch post-beta.
You can see what your agent did. Not why.
Scroll to zoom from thousands of runs into the one decision that went wrong.
12 LLM providers · 6 agent frameworks
Six stages from failure to fix. One of them runs today.
Risicare captures every decision your agent makes and classifies the failures. The rest of the loop — diagnose, test, fix, deploy, learn — is built and lands after the beta.
See it in action.
OVERVIEW
OBSERVABILITY
INTELLIGENCE
DATA
CONFIGURATION
Dashboard
0
0
0
0
Trace Volume
Error Rate & Self-Healing
Traces
1.2K
Latency
120ms
Cost
$18.40
Traces
847
Latency
340ms
Cost
$12.30
The only platform that completes the loop.
Every competitor stops at observation. We go all the way to automatic recovery.
Context That Never Breaks
PEP 567 contextvars + W3C Trace Context. Survives asyncio, threads, and multi-process.
154 Error Codes, Not "Error"
3-tier hierarchy: Module → Category → Code. Each with a distinct remediation path.
Zero Lock-In
One decorator wraps any framework. 6-tier depth from base instrumentation to orchestration.
Head-to-head comparison
| Langfuse | LangSmith | Braintrust | Raindrop | Risicare | |
|---|---|---|---|---|---|
| Trace Capture | Yes | Yes | Yes | Yes | Yes |
| Agent-Specific Tracing | Yes | Yes | Partial | Yes | Yes |
| Decision-Level Reasoning | No | No | No | No | Yes, unique to Risicare |
| Root Cause Isolation | No | No | No | No | Coming soon |
| Hypothesis Testing | No | No | No | No | Coming soon |
| Auto Fix Generation | No | No | Partial | No | Coming soon |
| Statistical A/B Deploy | No | No | Yes | No | Coming soon |
Zero env vars to full observability.
Start with zero config. Add depth when you need it — each tier unlocks richer data in your dashboard.
# env: RISICARE_API_KEY, RISICARE_TRACING=trueimport risicare # the only line you add# ... your agent code, unchanged ...# All LLM calls traced automatically
Every integration auto-instrumented at Tier 0
Built for the complexity of agent systems.
Four layers of engineering, working in concert. Every trace flows through ingestion, storage, intelligence, and deployment — automatically.
Built on peer-reviewed research. Not marketing promises.
Self-healing for AI agents isn't science fiction. It's published science — and it is what we are building toward.
Microsoft
DoVer: Intervention-Driven Auto Debugging
"Flips 18–28% of failed agent trials into successes"
UIUC / Stanford
Where LLM Agents Fail and How They Learn From Failures
"24% higher all-correct accuracy than the strongest baseline"
UC Berkeley · NeurIPS 2025
Why Do Multi-Agent LLM Systems Fail?
"14 failure modes in 3 categories, across 1,642 annotated traces"
Risicare implements and extends these research findings into production-grade infrastructure.
Pay for what your agents record.
Start free with 50,000 events a month. 1 event = 1 span or 1 score; prices in USD.
Start
Solo developers and prototypes
$0
No card required
- 50,000 events a month
- 30-day history
- 2 seats, unlimited projects
Build
Best place to startSmall teams with agents in production
$49 / month
Billed monthly
- 200,000 events a month, then $7 per 100,000
- 90-day history
- 10 seats, unlimited projects
Team
Teams running agents at scale
$249 / month
Billed monthly
- 1.5 million events a month, then $5 per 100,000
- 180-day history
- Unlimited seats, audit log
Enterprise
Contract volume, longer history, security review
From $4,999 / month
Billed annually
- 20 million events a month, then $3 per 100,000; more by agreement
- 365-day history, longer by agreement
- Unlimited seats; SSO, RBAC and SCIM Coming, not available yet
Indian customers pay in INR - see pricing
Stop debugging. Start healing.
The first platform that makes AI agents reliable in production.
Invite-only beta · We onboard teams by hand
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