1
LLMonitor
Shares tags: build, observability & guardrails, cost/latency
AI ToolDead Man Walking
Gain Complete Control with Baseten Traces
Production tracing for inference APIs with comprehensive cost, latency, and payload analytics.
shipped Nov 20, 2025buildpaid
1Unlock real-time observability to monitor and debug your AI model inference effortlessly.
2Integrate seamlessly with leading observability platforms for an enhanced workflow.
3Scale confidently with robust performance tuning designed for mission-critical applications.
Stork Quadrant
Dead Man Walking· 20/100
An LLM can do most of what this tool's UI promises. No moat, no agent presence.
“Baseten Traces is pure observability UI layered on top of data you already own. An LLM with access to your logs and cost data can generate the same insights, charts, and alerts without the tool. The only stickiness is convenience and familiarity — neither survives agent-native workflows where the agent queries your telemetry directly.”
Defensibility · 0/100
- Physical-world coupling
- Regulatory moat
- Network liquidity
- Proprietary refreshing data
- High-trust catastrophic workflows
- Multi-party coordination
- Brand / community / taste
An LLM alone could replace
- Aggregate and visualize latency metrics from API calls
- Calculate and report inference costs per request
- Display payload contents and request/response payloads
- Generate dashboards showing cost and latency trends over time
Agent-Readiness · 45/100
- Verified MCP
- Listed on agent surfaces
- Usage-based pricing— pricing page heuristic match: https://www.baseten.co/pricing
- Headless agent auth— https://docs.baseten.co/ (api-key auth)
- Public OpenAPI
- Active changelog— https://www.baseten.co/changelog (2026-05-14)
- llms.txt— https://www.baseten.co/llms.txt
How to defend
Pivot from dashboard to decision engine: own the cost-optimization layer by automatically recommending model switches, batch sizes, or inference strategies based on your tracing data. Make the tool the thing that acts, not just the thing that reports.
- Ship an MCP server and list it on Stork — biggest single point gain (+25).
- Get listed in the Anthropic MCP registry, Cursor, or Claude Desktop (+20).
- Publish an OpenAPI spec at /openapi.json or /.well-known/openapi (+10).
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overview
Overview of Baseten Traces
Baseten Traces provides a full-stack observability solution designed specifically for AI model inference. With real-time metrics, logs, and detailed request traces, you can easily monitor model health, streamline incident responses, and optimize ongoing operations.
- 1Comprehensive monitoring of inputs, outputs, and errors.
- 2Streamlined workflows for ops teams with integrated data exporting.
- 3Enhanced visibility across your entire technology stack.
features
Key Features
Baseten Traces includes powerful features that cater to the needs of enterprises and advanced AI teams. Our platform supports billions of model calls per week, ensuring performance at scale while focusing on low-latency inference.
- 1Cloud-agnostic deployment with autoscaling capabilities.
- 2Tight integration of observability directly into inference pipelines.
- 3Extensive performance tuning options to meet your unique requirements.
use cases
Use Cases
Whether you're in healthcare, building productivity tools, or working with open-source LLM applications, Baseten Traces is tailored to meet the challenges of mission-critical AI deployments. Experience the difference with drastically reduced latency and optimized operational overhead.
- 1Deploy and monitor complex AI models efficiently.
- 2Achieve reliability required for enterprise-grade applications.
- 3Optimize costs associated with inference effortlessly.
❓
Frequently Asked Questions
+What kind of integration options does Baseten Traces offer?
Baseten Traces seamlessly integrates with leading observability tools like Datadog and Prometheus, allowing for improved visibility and streamlined operations.
+Who is the ideal user for Baseten Traces?
Baseten Traces is specifically designed for enterprises and advanced AI teams that require robust monitoring and real-time metrics for their mission-critical models.
+How does Baseten Traces improve model latency?
Our platform includes extensive performance tuning and autoscaling features, allowing for low-latency inference and optimized performance across large-scale deployments.
For builders
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