AGENT OPS LTD
AgentOps provides observability, debugging, and cost tracking for AI agents and LLM applications across 400+ frameworks. The platform serves AI engineers and enterprises through a freemium SDK model with a $40/month Pro tier and custom-priced Enterprise deployments.
- Company typePrivate
- Founded-
- HeadquartersSan Francisco, United States
- Headcount—
- GTM typeB2B
- OfferingSoftware
What AGENT OPS LTD does
AgentOps (legal entity STAF, INC, operating as AGENT OPS LTD) is a San Francisco-based developer platform that provides observability, testing, debugging, and cost management for autonomous AI agents and LLM applications. The company's core offering is a two-line SDK (Python and TypeScript) built on OpenTelemetry standards that automatically instruments LLM calls, tool executions, and multi-agent interactions across more than 400 supported LLMs and frameworks, including OpenAI Agents SDK, Anthropic, Google Gemini, CrewAI, AutoGen/AG2, LangChain, LlamaIndex, Smolagents, Agno, and Google ADK. This instrumentation feeds a web-based dashboard (app.agentops.ai) that delivers session replay with time-travel debugging, token and cost tracking across providers, prompt-injection detection, and the ability to fine-tune specialized LLMs using saved completions.
The product surface has expanded beyond the SDK and dashboard to include an MCP Server (in beta, 2025) that lets AI assistants in Cursor, Claude Desktop, VSCode, Windsurf, and Zed query AgentOps data directly, a read-only REST API with JWT authentication for programmatic access to trace and span data, and self-hosting deployment options across AWS, GCP, and Azure. Enterprise-tier customers additionally receive SOC-2, HIPAA, and NIST AI RMF compliance, Custom SSO, Slack Connect, on-premise deployment, and custom data retention.
AgentOps operates a hybrid go-to-market: a freemium product-led growth motion for developers (free tier up to 5,000 events/month, Pro tier at $40/month pay-as-you-go, distributed via pip, npm, GitHub, and Discord) layered with an enterprise field-sales motion for organizations requiring SLAs, compliance certifications, and on-premise deployment. Monetization is supplemented by professional services ("Hire an Agent Expert" and "Scale to Enterprise") delivered via Calendly. The company raised $2.6 million in seed funding in August 2024 and serves a globally distributed customer base spanning technology, consulting, financial services, healthcare, telecommunications, energy, and travel.
AGENT OPS LTD firmographics
Firmographics- Name
- AGENT OPS LTD
- Legal name
- STAF, INC
- Website
- https://agentops.ai
- Company type
- Private
- Operating status
- Operating
- Short description
- AgentOps provides observability, debugging, and cost tracking for AI agents and LLM applications across 400+ frameworks. The platform serves AI engineers and enterprises through a freemium SDK model with a $40/month Pro tier and custom-priced Enterprise deployments.
- Ownership category
- akta.pro rank
AGENT OPS LTD industry classification
Industry- Product category
- AI Agent Observability
- NAICS
- Software Publishers (5132), Custom Computer Programming Services (541511), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming Services (7371)
- akta.pro primary industry
- AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ)
- akta.pro secondary industries
- MLOps/LLMOps & Model Lifecycle Management Services (BPAEAHAH), End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA), Agents & Autonomous Workflows (Tool Use, Planning, Multi-Agent) (HDAAACAF)
Keywords
Where AGENT OPS LTD is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
AGENT OPS LTD business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations
Revenue model
- Subscription - Basic Tier: Free tier providing up to 5,000 events monthly with Agent Agnostic SDK, LLM Cost Tracking, and Replay Analytics. Used for developer acquisition and onboarding.
- Subscription - Pro Tier: $40 per month subscription with unlimited event limits, unlimited log retention, session and event export, dedicated Slack and email support, and role-based permissioning. Pay-as-you-go billing model.
- Subscription - Enterprise Tier: Custom pricing for organizations requiring SLA, Slack Connect, Custom SSO, on-premise deployment, custom data retention policies, self-hosting options (AWS, GCP, Azure), and compliance certifications (SOC-2, HIPAA, NIST AI RMF).
- Professional Services: Hire an Agent Expert service helping teams build and scale enterprise-grade agents; Scale to Enterprise consulting for deploying agents to production.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Free tier - Basic |
| Subscription | Monthly | Pro Tier - $40/month |
| Subscription | Multi-year contract | Enterprise - Custom pricing |
Go-to-market motion2 records
Distribution channels6 records
Marketing channels8 records
AGENT OPS LTD product offering
Product offeringCore offering
AgentOps provides a developer platform for monitoring, testing, and debugging autonomous AI agents and LLM applications. Their Python and TypeScript SDKs integrate with 400+ LLM frameworks and providers, offering session replays, cost tracking, prompt-injection detection, and compliance-ready observability for teams deploying agent-based AI systems in production.
Product overview
AgentOps is a unified developer platform for building, testing, debugging, and deploying AI agents and LLM applications. The core product consists of the AgentOps SDK (Python and TypeScript) for instrumenting agents, combined with a web-based Dashboard for visualization and analytics. The platform automatically tracks LLM calls, tool executions, and multi-agent interactions across 400+ supported frameworks. Add-on modules include an MCP Server for IDE integration and a Public API for programmatic access. Enterprise customers can opt for Self-Hosting to maintain data sovereignty. Educational content is provided through AgentOps Courses.
Differentiator
Problem solved
Functional benefit
Products and services
- AgentOps Python SDK
- AgentOps TypeScript SDK
- AgentOps Dashboard
- AgentOps Public API
- AgentOps MCP Server
- AgentOps Self-Hosting
- Hire an Agent Expert
- Scale to Enterprise
Quantifiable outcome
- Fine-tune LLMs up to 25x cheaper using saved completions from AgentOps traces
- +2 more outcomes
Companies that use AGENT OPS LTD
Customer profileNamed customers23 records
Segments3 records
Ideal customer profiles3 records
AGENT OPS LTD technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration35 records
AI capability7 records
Feature8 records
AGENT OPS LTD partnerships and signals
Strategic signalPartnerships
19 partnerships are on record, tiered core.
- CrewAIcoreNative integration with CrewAI multi-agent framework. Users can monitor CrewAI applications with AgentOps through automatic instrumentation. Featured as a key integration on homepage.
- AG2 (AutoGen)coreAG2 (formerly AutoGen) multi-agent conversible workflow with tool usage is natively supported. Track observations from AG2 agents automatically.
- LangChaincoreJupyter Notebook with sample LangChain integration. Monitor Haystack and LangChain agents with automatic AgentOps instrumentation.
- OpenAIcoreFirst-class support for GPT family of models. Automatic instrumentation of OpenAI SDK calls including Assistants API, streaming, and function calling.
- AnthropiccoreTrack observations from Claude, Haiku, and Sonnet series of models. First-class support with automatic SDK instrumentation.
- Google DeepMind (Gemini)coreExplore Google DeepMind's Gemini with observation via AgentOps. Automatic instrumentation for Gemini API calls.
- Mistral AIcoreSupport for Mistral AI's open-weight models with automatic instrumentation.
- CoherecoreFirst-class support for Command-R-Plus and chat streaming with automatic observability.
- GroqcoreUltra-fast LLM inference with Groq Cloud integrated with AgentOps observability.
- LlamaIndexcoreNative integration with LlamaIndex for RAG applications with automatic tracing.
- LiteLLMcoreUnified interface for multiple LLM providers tracked through AgentOps.
- OpenAI Agents SDKcoreAgentOps seamlessly integrates with OpenAI Agents SDK for Python and TypeScript, providing observability into multi-agent workflows including agent lifecycle, LLM generation, function calls, audio processing, and handoffs.
- HuggingFace smolagentscoreTrack HuggingFace's smolagents with AgentOps seamlessly. Supports code agents, tool-calling agents, and multi-agent systems.
- XpandercoreMonitor and analyze Xpander agent workflows with automatic AgentOps instrumentation. Zero-configuration setup for agent activities, tool executions, and LLM interactions.
- IBM Watsonx.aicoreSeamless integration with IBM Watsonx.ai Python SDK. Track and analyze all Watsonx.ai model interactions automatically.
- xAI (Grok)coreTrack and analyze xAI Grok API calls with AgentOps. Support for Grok and Grok Vision models via OpenAI SDK compatible API.
- Llama StackcoreCreate agents using Llama Stack with AgentOps observability. Example provided for web search and NBA analysis.
- Google ADKcoreIntegration with Google Agent Development Kit for AI agent observability.
- AgnocoreIntegration with Agno framework for AI agent observability and monitoring.
Scale indicators4 records
Recent moves6 records
Expansion highlights6 records
AGENT OPS LTD competitors and assessment
Company assessmentDirect peers
- Portkey: Portkey is an LLM gateway and observability platform providing tracing, cost tracking, and reliability features for LLM applications. It directly competes with AgentOps at the observability layer with a similar PLG, developer-first motion.
- LangSmith: LangSmith is the observability and evaluation platform built by LangChain, the dominant agent framework. It directly competes with AgentOps on tracing, debugging, and evaluation of LLM/agent workflows and benefits from native distribution through the LangChain ecosystem.
- Langfuse: Langfuse is an open-source LLM engineering platform offering tracing, evaluation, and prompt management. It competes head-to-head with AgentOps in agent/LLM observability and is often cited as the open-source alternative to LangSmith.
- Helicone: Helicone is an open-source LLM observability platform that provides logging, monitoring, and cost tracking for LLM calls. It directly overlaps with AgentOps' core observability value proposition and serves a similar developer-first audience.
- Arize AI: Arize AI provides LLM evaluation, tracing, and observability for production AI applications. It is a direct competitor in the agent/LLM observability category, with stronger enterprise sales presence but similar technical scope.
- WhyLabs: WhyLabs provides AI observability and monitoring with a focus on LLM and ML model performance, drift detection, and evaluation. It overlaps with AgentOps in tracing and monitoring of agent/LLM applications in production.
Broad incumbents
- Weights & Biases: Weights & Biases is an MLOps platform with model evaluation and tracing features that extends into LLM and agent workflows. It competes as a broader incumbent with deeper ML lifecycle roots and a larger enterprise footprint than AgentOps.
- Honeycomb.io: Honeycomb is an observability platform for production engineering that supports OpenTelemetry and has been extending into AI/agent tracing. It is an incumbent that competes at the broader observability layer and could move deeper into AgentOps' niche.
- Datadog: Datadog is a large-scale cloud observability platform that has launched LLM and AI observability features. It competes as a broad incumbent that can bundle AI agent tracing into existing enterprise observability contracts.
Emerging players
- Maxim AI: Maxim AI is an evaluation and observability platform for AI agents and LLM applications. It overlaps with AgentOps on tracing and evaluation, targeting a similar early-stage developer and startup audience.
Market position
Strengths2 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
AGENT OPS LTD social profiles
Digital presenceAGENT OPS LTD compliance and trust
Trust signalCompliance4 records
AGENT OPS LTD financial estimates
Financial estimateRevenue estimate
Valuation estimate
AGENT OPS LTD leadership team
Management profileNumber of profiles
Profiles2 records
AGENT OPS LTD funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
AGENT OPS LTD M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about AGENT OPS LTD
What does AGENT OPS LTD do?
AgentOps provides a developer platform for monitoring, testing, and debugging autonomous AI agents and LLM applications. Their Python and TypeScript SDKs integrate with 400+ LLM frameworks and providers, offering session replays, cost tracking, prompt-injection detection, and compliance-ready observability for teams deploying agent-based AI systems in production.
Is AGENT OPS LTD a public or private company?
AGENT OPS LTD is a private company. It is classified as venture growth investor backed and is currently operating.
When was AGENT OPS LTD founded?
AGENT OPS LTD was founded in -1.
Where is AGENT OPS LTD based?
AGENT OPS LTD is headquartered in San Francisco, United States, in the North America region.
How does AGENT OPS LTD make money?
Four revenue lines are on record. Subscription - Basic Tier is the primary driver. The others are subscription - Pro Tier, subscription - Enterprise Tier and professional Services.
Who are AGENT OPS LTD's main competitors?
Direct peers on record are Portkey, LangSmith, Langfuse, Helicone, Arize AI and WhyLabs. Broad incumbents are Weights & Biases, Honeycomb.io and Datadog. Maxim AI is listed as an emerging player.
Does AGENT OPS LTD have an API?
Yes. Read-only REST API providing HTTP access to monitoring data including trace information, span details, and metrics. Base URL: https://api.agentops.ai. Uses JWT token authentication - bearer tokens valid for 30 days. Core endpoints include: Get Project Information, Get Trace Details, Get Trace Metrics, Get Span Details, Get Span Metrics. Also available as MCP (Model Context Protocol) server for AI assistant integration. Developer documentation is at docs.agentops.ai/v2/usage/public-api.
What industry is AGENT OPS LTD in?
AGENT OPS LTD's product category is AI Agent Observability. Its primary akta.pro industry code is HDAEANAJ, AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs), with a secondary code of BPAEAHAH, MLOps/LLMOps & Model Lifecycle Management Services. Its NAICS code is 5132 and its SIC code is 7372.