1
Humanloop
Shares tags: automate, agent evaluation & observability, evaluation
AI ToolDead Man Walking
Transform Your Agent Operations with AgentOps
Automate evaluation and workflow seamlessly.
shipped Nov 14, 2025automatepaid
1Gain real-time insights into agent performance with advanced observability tools.
2Automate tedious workflows and maximize efficiency across your AI operations.
3Effortlessly manage and fine-tune your AI agents while capturing costs with precision.
Stork Quadrant
Dead Man Walking· 0/100
An LLM can do most of what this tool's UI promises. No moat, no agent presence.
“AgentOps is a observability wrapper around LLM agents. Everything it does—logging, tracing, evaluation, visualization—is either native to the LLM API or can be replicated by the agent itself in a few lines of code. There is no defensible moat. As agents become more autonomous and LLM providers add native observability, this tool becomes redundant infrastructure.”
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
- Logging and tracing agent execution steps — an LLM can output its reasoning chain directly
- Evaluating agent performance against test cases — an LLM can score its own outputs or compare against baselines without a separate tool
- Visualizing agent behavior and debugging workflows — Claude or GPT can generate detailed execution reports in text or structured format
- Collecting metrics on latency, token usage, and error rates — these are byproducts any LLM API already exposes
Agent-Readiness · 0/100
- Verified MCP
- Listed on agent surfaces
- Usage-based pricing
- Headless agent auth
- Public OpenAPI
- Active changelog
- llms.txt
How to defend
Pivot from generic observability to vertical-specific evaluation. Own the benchmark suite and scoring rubrics for a high-stakes domain (finance, healthcare, legal) where evaluation mistakes are costly. Become the certification layer, not the logging layer.
- 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).
- Add a usage-based or per-call tier; per-seat-only pricing dies when agents replace seats (+15).
- Expose API-key auth with a self-serve sandbox tier; remove sales-call gates (+15).
- Publish an OpenAPI spec at /openapi.json or /.well-known/openapi (+10).
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<a href="https://www.stork.ai/en/agentops" target="_blank" rel="noopener noreferrer"><img src="https://www.stork.ai/api/badge/agentops?style=dark" alt="AgentOps - Featured on Stork.ai" height="36" /></a>
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overview
Overview of AgentOps
AgentOps is a powerful platform designed to enhance the evaluation and observability of AI agents and large language model (LLM) applications. Our robust features help you automate workflows and optimize your systems with ease.
- 1Seamless integration for minimal setup required.
- 2Comprehensive logging and monitoring of agent interactions.
- 3Enhanced capabilities for managing costs and resources.
features
Key Features
With AgentOps, you unlock advanced features that elevate your agent ops to the next level. Automate tedious tasks and focus on what matters most: innovation and efficiency.
- 1Automated instrumentation for effortless monitoring.
- 2Rewind and replay agent runs with precise time-stamps.
- 3Real-time analytics dashboards for actionable insights.
use cases
Use Cases
AgentOps is perfect for AI engineers, enterprise DevOps, and platform teams seeking effective automation solutions. Whether you're developing context-aware systems or adaptive AI, our platform supports your specific needs.
- 1Streamline workflows across diverse AI applications.
- 2Enhance traceability and security in agent-driven systems.
- 3Optimize cost management with detailed operational insights.
❓
Frequently Asked Questions
+What kind of agents can I monitor with AgentOps?
AgentOps supports various AI agents and LLM applications, providing robust tools for monitoring and evaluation.
+How does the cost management feature work?
Our platform includes detailed analytics that help you visualize and manage expenses associated with agent operations effectively.
+Is AgentOps suitable for teams new to AI development?
Yes, AgentOps is designed for ease of use, allowing teams at any experience level to integrate and benefit from our solutions quickly.
For builders
This page is doing a job for someone else’s tool.
AI agents read it. Buyers find it. Backlinks accrue. Your tool can have one too — live in 24 hours, indexed by Claude, ChatGPT, and Perplexity, queryable via MCP.