Start here for the decision-making essentials: what AgentOps does, who it is for, how it is accessed, and the first-party sources behind this profile.
Pricing2 plans
Basicper month
$0/month
Free up to 5,000 events
Proper month
$40/month
Pay as you go, see pricing calculator
Platforms
Web
API accessNot public
FoundedNot disclosed by source
AvailabilityWeb / remote
LicenseProprietary
Best suited to
Source-backed fit
Engineers building reliable AI agents Teams needing multi-agent LLM observability Organizations requiring SOC-2, HIPAA, and NIST AI RMF certified tooling
Official site snapshots
See the official site at a glance
Read-only public captures of AgentOps’s homepage. Screenshots are dated, never live embeds, and open full-screen.
Short answers to the questions buyers and builders commonly ask about AgentOps. Each answer cites the shared ledger below, where every source is listed once.
01What does AgentOps say it can do?
Visually track events such as LLM calls, tools, and multi-agent interactions · Rewind and replay agent runs with point in time precision · Track, save, and monitor every token an agent sees with agent spend visualization · Keep a full data trail of logs, errors, and prompt injection attacks from prototype to pro
Visually track events such as LLM calls, tools, and multi-agent interactions.
Visually track events such as LLM calls, tools, and multi-agent interactions · Rewind and replay agent runs with point in time precision · Track, save, and monitor every token an agent sees with agent spend visualization · Keep a full data trail of logs, errors, and prompt injection attacks from prototype to pro
This profile connects the jobs AgentOps is described as handling with its delivery model, access options and the subjects used to match it to related products in this directory.
Common use cases
Tracking LLM calls, tools, and multi-agent interactions
Rewinding and replaying agent runs with point in time precision
Monitoring token usage and agent spend with price tracking
Auditing logs, errors, and prompt injection attacks from prototype to production
Basic | $0/month | Free up to 5,000 events · Pro | $40/month | Pay as you go, see pricing calculator
API
Not publicly listed
Source links
2 recorded
Source-backed
Verified facts
Updated August 27, 2026
Each fact points to a recorded source, making it easy to distinguish verified product information from claims that need checking.
Official website
HTTP 200 verified twice
First-party description
AgentOps
Source-supported facts
Visually tracks LLM calls, tools, and multi-agent interactions · Rewinds and replays agent runs with point in time precision · Tracks, saves, and monitors tokens with agent spend visualization and price monitoring
Capability
Visually track events such as LLM calls, tools, and multi-agent interactions
Capability
Rewind and replay agent runs with point in time precision
Capability
Track, save, and monitor every token an agent sees with agent spend visualization
Capability
Keep a full data trail of logs, errors, and prompt injection attacks from prototype to production
Audience
Engineers building reliable AI agents
View 6 more verified facts
Integration
LLM cost tracking across 400+ LLMs
Pricing
Basic | $0/month | Free up to 5,000 events
Pricing
Pro | $40/month | Pay as you go, see pricing calculator
Security
Enterprise tier certified for SOC-2, HIPAA, and NIST AI RMF
Official website
HTTP 200 verified
Practical capabilities
What it helps with
8 documented areas
A concise view of the jobs, capabilities and integrations described in the recorded product sources.
Use case
Tracking LLM calls, tools, and multi-agent interactions
Use case
Rewinding and replaying agent runs with point in time precision
Use case
Monitoring token usage and agent spend with price tracking
Use case
Auditing logs, errors, and prompt injection attacks from prototype to production
Use case
LLM cost tracking across 400+ LLMs
Capability
Visually track events such as LLM calls, tools, and multi-agent interactions
Capability
Rewind and replay agent runs with point in time precision
Capability
Track, save, and monitor every token an agent sees with agent spend visualization
Availability
Where it runs and where to get it
Source checked
Documented product formats, platforms and official distribution destinations. Availability can vary by region and plan.
Cost / license
Basic | $0/month | Free up to 5,000 events · Pro | $40/month | Pay as you go, see pricing calculator
Data controlEnterprise tier certified for SOC-2, HIPAA, and NIST AI RMF
Learning curveIntermediate
Primary use casesTracking LLM calls, tools, and multi-agent interactions, Rewinding and replaying agent runs with point in time precision, Monitoring token usage and agent spend with price tracking, Auditing logs, errors, and prompt injection attacks from prototype to production, LLM cost tracking across 400+ LLMs
What to verify before adopting
Evolution and major updates
AgentOps timeline
A concise history of software releases and material product changes. Events appear only when a dated source supports what changed.
Research in progress
Scheduled for research
Building a reliable release history.
This profile is being checked for dated releases and material product changes. Nothing appears here until the exact date and event can be verified from a recorded source.
Dated event Short explanation Original source
Citation ledger
Recorded sources
2 unique pages
Facts, answers, structured details, milestones and primary resource links cite this shared ledger. Each external page appears once; release tags from the same GitHub project are grouped under one release history.
1agentops.ai 14 facts · 6 answers · 2 pricing records · 1 snapshot source · Official site
These tools share a workflow, capability or audience with AgentOps. They may complement it rather than replace it, and are not presented as integrations or endorsements.
AI observability · ToolContext.aiContext.ai (Explore Interfaces Inc.) is an enterprise AI agent execution platform combining a workspace, execution engine, context graph (Unify), and evals. It supports hosted, VPC, or air-gapped deployment, multiple model providers, 800+ connectors, and inherited SSO permissions.Also mapped to AI observability
AI observability · ToolDagsHubDagsHub is an AI platform for managing the entire ML lifecycle—from data collection and multimodal dataset annotation through experiment tracking (model training and prompt engineering) to model management—built on open source tools like Git, DVC, MLflow, and Label Studio.Also mapped to AI observability
AI observability · ToolLayerLayer is an AI-powered Creative Automation Platform by Layer AI, Inc. that lets game studios and entertainment brands generate and edit images, video, 3D, and audio assets in one workspace, with workflow automation, REST API access, and custom style training.Also mapped to AI observability
AI observability · ToolLunaryLunary is an enterprise-grade observability and prompt management platform for LLM-based apps. It supports text, audio, and images, offers PII masking, RBAC and SSO, GDPR-compliant EU cloud hosting, self-hosting via Docker/Kubernetes, and 20+ integrations.Also mapped to AI observability
