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AgentOps

Also known as: AgentOps.ai

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Entry priceFree tier · paid Pro tier · Enterprise customFull pricing detail

Agent observability and reliability platform with broad model and framework support, OSS SDK surface, and devtools for production-agent debugging. An infrastructure component, not an end-user assistant.

AgentOps is a developer platform for observing, debugging, and monitoring AI agents and LLM applications in production. After adding about two lines of code, its Python or TypeScript SDK records every LLM call, tool invocation, and decision an agent makes as a session trace, which teams can replay step by step to find where a run went wrong. Built on OpenTelemetry-style instrumentation, it provides time-travel debugging, multi-agent workflow visualization, token and cost tracking across 400+ models, evaluation benchmarks, and detection of failures and prompt-injection patterns. It integrates natively with the major agent frameworks, including CrewAI, AutoGen/AG2, the OpenAI Agents SDK, LangChain, LlamaIndex, and CAMEL, making it one of the broadest options for instrumenting multi-framework agent stacks. Developed by the San Francisco company Agency (Staf.ai) and used by engineers at firms including Microsoft, Google, and Deloitte, AgentOps is free to start and moves to usage-based paid plans as event volume grows.

Vendor details

Canonical URL

https://www.agentops.ai

Category

Agent infrastructure

Subcategory

Agent observability & evaluation

Funding status

Seed-stage; ~$2.6M raised (2024) under parent company Agency (Staf.ai).

Company status

independent

Use cases & customers

Primary use cases

Tracing and session replay for AI agentsDebugging multi-agent and multi-step workflowsLLM token and cost tracking across providersEvaluating and benchmarking agent performanceDetecting agent failures and prompt-injection patternsMonitoring production agents for reliability and compliance

Target customers

AI developersplatform teams

Deployment options

SaaSPython/TypeScript SDKSelf-hosted (enterprise)

Integrations

Python and TypeScript SDK that instruments agents in about two lines of code. Native integrations with CrewAI, AutoGen/AG2, the OpenAI Agents SDK, LangChain, LlamaIndex, CAMEL, Agno, SwarmZero, and Google ADK, plus cost and usage tracking across 400+ LLMs. Built on OpenTelemetry-style spans, so traces can route into existing observability stacks.

In practice

An agent run goes wrong in production and you have no idea which step broke. AgentOps records every LLM call, tool use, and decision as a session trace you can replay step by step.

Your agent stack spans several frameworks and none of them monitor the others. AgentOps integrates natively with CrewAI, AutoGen, LangChain, LlamaIndex, and the OpenAI Agents SDK, so one tool covers them all.

Token spend creeps up and you can't see where. AgentOps tracks tokens and cost across more than 400 models, so the bill isn't a mystery.

Agentic Index coverage score

6.0 / 14 capabilities · 43%

Integrations & Tool CallingSDK and framework breadth docs 2026-06-08 Full
Workflow OrchestrationObservability-focused infrastructure Unable to verify
Knowledge Grounding & RAGObservability-focused infrastructure Unable to verify
Human Oversight & GuardrailsOfficial docs 2026-06-08 Unable to verify
Security, Identity & GovernanceOfficial docs 2026-06-08 Partial
Observability & AuditabilityCore platform offering 2026-06-08 Full
Memory & State PersistenceObservability-focused infrastructure Unable to verify
Deployment & Data ResidencyOfficial docs 2026-06-08 Partial
Prebuilt Agents, Templates & PacksInfrastructure layer docs 2026-06-08 Unable to verify
Triggers & Channel CoverageObservability-focused infrastructure Unable to verify
Model Flexibility & RoutingBroad model and framework breadth docs 2026-06-08 Full
APIs, SDKs & MCP ExtensibilityOSS SDK and API docs 2026-06-08 Full
Testing, Debugging & OptimizationReliability and devtools docs 2026-06-08 Full
Browser & Computer UseOfficial docs 2026-06-08 Unable to verify

The Agentic Index coverage score grades every vendor Full, Partial or Unable to verify against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded

Pricing

Free tier · paid Pro tier · Enterprise custom

usage

Free tier

Included quota

Free tier is event capped; an event is each tracked LLM call, tool call, or action, so a single agent run can emit a dozen or more events and the free tier suits evaluation rather than production. Compliance (SOC 2, HIPAA, NIST AI RMF), self hosting, and SSO are Enterprise gated.

What is public

A free tier, a self serve paid tier, and a custom Enterprise tier are consistently confirmed across sources, as is the MIT licensed open source SDK and app. Exact current tier numbers are not reliably public.

Billing mechanics

Event metered freemium: tracked events deduct from plan quotas, with Enterprise handling compliance, self hosting, and SLAs.

Cost watchouts

For security conscious buyers the effective price is Enterprise contact sales, since SOC 2 and self hosting sit behind the custom tier regardless of the Pro sticker price.

Variable cost rationale

Event based metering scales with agent activity; multi step agent runs consume events quickly relative to headline quotas.

Additional watchouts

Verify live pricing directly with the vendor before budgeting; third party figures conflict and the primary page has been down.

Sales call required

Mixed (some tiers require a call)

Free / trial

Free Basic tier (event volume capped)

Lowest paid plan

Pro tier (self serve; exact current price not reliably public)

Commercial notes

Broad framework coverage (CrewAI, AG2/Autogen, OpenAI Agents SDK, LangChain, CamelAI and 400+ integrations claimed). Open source SDK at ~5.6K GitHub stars.

Key ambiguities

The standalone pricing page has been returning a 404 and third party sources conflict on current numbers (free tier reported at both 5K and 50K events a month; Pro reported at both $40 and $49 a month with differing event allowances). Exact current figures cannot be verified from a primary source, so false precision is withheld.

Missing data

Current exact tier pricing and quotas; the primary pricing page is unreadable (404) as of mid 2026.

Agentic Index verified 2026-07-06

Alternatives to AgentOps

The closest documented capability profiles to AgentOps among agent infrastructure platforms tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.

Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded

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