AgentOps

Spec sheet

What it does

AgentOps is a developer platform for tracing, debugging and deploying AI agents and LLM applications.Read 15 Oct 2026 · agentops.ai

Product

AgentOps describes itself as a developer platform for building AI agents and LLM apps, with observability for OpenAI, CrewAI, AutoGen, and 400+ LLMs and frameworks.Read 7 Oct 2026 · agentops.ai

Intended users

The site presents AgentOps for engineers building AI agents and offers help to teams building and scaling enterprise-grade agents.Read 7 Oct 2026 · agentops.ai

Support

Pro includes dedicated Slack and email support, while Enterprise adds SLA and Slack Connect.Read 15 Oct 2026 · agentops.ai

Headquarters

Delray Beach, Florida, United StatesRead 28 Sep 2026 · agentops.ai

Founded

LinkedIn and G2 list the company as founded in 2023.Read 15 Oct 2026 · linkedin.com

Audit trail

AgentOps records logs, errors and prompt-injection attacks across development and production.Read 15 Oct 2026 · agentops.ai

Company identity

Crunchbase lists the legal company name as Staf, Inc., also known as Agency AI and AgentOps.ai.Read 15 Oct 2026 · crunchbase.com

Company location

LinkedIn lists Agency headquarters at 525 Market Street, San Francisco, California.Read 15 Oct 2026 · linkedin.com

Company size

LinkedIn lists Agency as a privately held software-development company with 11–50 employees.Read 15 Oct 2026 · linkedin.com

Cost monitoring

The service monitors agent spending using current model-price data.Read 15 Oct 2026 · agentops.ai

Cost tracking

The site says AgentOps tracks token counts and agent spend, with price monitoring across 400+ LLMs.Read 7 Oct 2026 · agentops.ai

Dashboard

The documentation says recorded program executions appear as sessions in the AgentOps Dashboard, with session summaries and a waterfall view of calls, tools, and errors.Read 7 Oct 2026 · docs.agentops.ai

Dashboard modules

The live dashboard exposes projects, traces, metrics, MCP, Deploy Alpha, patch notes, support and documentation links.Read 15 Oct 2026 · app.agentops.ai

Documentation

Documentation includes quickstarts, integration guides, examples and self-hosting instructions.Read 15 Oct 2026 · github.com

Early reliability problem

TechCrunch reported that the founders' initial agents failed 30–40% of the time, motivating the debugging tools that became AgentOps.Read 15 Oct 2026 · techcrunch.com

Enterprise security

The homepage lists SOC-2, HIPAA, and NIST AI RMF among Enterprise plan offerings.Read 7 Oct 2026 · agentops.ai

Fine-tuning

Saved completions can be used to fine-tune specialized models at a claimed cost reduction of up to 25 times.Read 15 Oct 2026 · agentops.ai

Framework integrations

The SDK integrates with CrewAI, AG2/AutoGen, Agno, LangGraph, OpenAI Agents SDK and other agent frameworks.Read 15 Oct 2026 · github.com

Funding news

TechCrunch reported on August 28, 2024 that Agency had raised $2.6 million in pre-seed funding led by 645 Ventures and Afore Capital.Read 15 Oct 2026 · techcrunch.com

G2 review availability

G2 says there are too few AgentOps reviews to provide buying insight.Read 15 Oct 2026 · g2.com

Independent product assessment

OpenClaw describes AgentOps as a practical observability layer for Python-heavy teams needing structured traces, replayability and cost-aware debugging.Read 15 Oct 2026 · openclawhub.tools

Installation

The homepage gives `pip install agentops` as the installation command.Read 7 Oct 2026 · agentops.ai

Instrumentation controls

Developers can use decorators and manual traces to define sessions, agents, operations, tasks and workflows.Read 15 Oct 2026 · github.com

Licence

The AgentOps application and repository are released under the MIT licence.Read 15 Oct 2026 · github.com

Limit: instrumentation complexity

The review cautions that unclear boundaries or excessive decorators and tags can make traces noisy.Read 15 Oct 2026 · openclawhub.tools

Limit: scope

The independent review says AgentOps is not an orchestration, model-serving, no-code, vector-database or retrieval platform.Read 15 Oct 2026 · openclawhub.tools

Praise: setup

An independent review describes the basic setup as fast and based on a two-line initialization.Read 15 Oct 2026 · openclawhub.tools

Praise: workflow tracing

The same review praises automatic instrumentation, manual trace controls and replay for multi-step workflows.Read 15 Oct 2026 · openclawhub.tools

Provider coverage

The website advertises observability coverage for more than 400 LLMs and frameworks.Read 15 Oct 2026 · agentops.ai

Provider integrations

The documentation lists Anthropic, Google Generative AI, OpenAI, LiteLLM, Watsonx, xAI, Mem0, and Memori integrations.Read 7 Oct 2026 · docs.agentops.ai

Public API access

SDK initialization uses an AgentOps API key and sends sessions to the AgentOps dashboard.Read 15 Oct 2026 · github.com

Python installation

The official installation command is pip install agentops.Read 15 Oct 2026 · github.com

Rating on G2

0.0 out of 5 from 0 reviewsRead 15 Oct 2026 · g2.com

Replay debugging

Time-travel debugging lets teams rewind and replay agent runs with point-in-time precision.Read 15 Oct 2026 · agentops.ai

SDKs

The documentation says AgentOps is available for Python and TypeScript/JavaScript applications.Read 7 Oct 2026 · docs.agentops.ai

Security claims

The enterprise tier lists SOC 2, HIPAA and NIST AI RMF support.Read 15 Oct 2026 · agentops.ai

Self-hosting

The repository documents running the full dashboard and API backend on a user's own machine, while the enterprise plan lists AWS, GCP and Azure self-hosting.Read 15 Oct 2026 · github.com

Token monitoring

Its dashboard tracks every token consumed by an agent.Read 15 Oct 2026 · agentops.ai

TypeScript SDK

AgentOps provides a TypeScript/JavaScript SDK for Node.js applications.Read 15 Oct 2026 · docs.agentops.ai

Visual tracking

The product visualizes LLM calls, tool usage and multi-agent interactions.Read 15 Oct 2026 · agentops.ai

Visualization

The site says users can visually track LLM calls, tools, and multi-agent interactions.Read 7 Oct 2026 · agentops.ai

Plans and prices

Every AgentOps plan and price →

Where Specifiction places it

• LLM Observability Tools#1 of 269.3
• AI Agent Observability Tools#2 of 319.3
• Llm Monitoring#2 of 269.2