AI observability for every team

See what your AI agents are actually doing.

Observagent unifies logs, metrics, and traces from every agent, model, and integration, so you see cost, performance, and reliability before your customers do.

Live telemetryConnected
18,420events this week
142active agents
1.8%error rate

Why it matters

AI agents are invisible by default.

Teams deploy coding agents, assistants, and local models faster than they can answer basic questions about their behavior.

01

Fragmented tools

Each CLI, IDE, and local model reports usage differently, or not at all.

02

Unknown cost

Token spend, quota, and model usage stay hidden until the invoice arrives.

03

Unclear ownership

No shared view shows which team, project, or agent drives usage and errors.

04

Hidden failures

Failed requests and slow responses are hard to trace without a shared view of agent activity.

One operational view

Every AI platform. One dashboard.

dashboard.observagent.cloud/platformsLast 7 days
Claude6,240
ChatGPT4,910
Gemini3,180
Ollama2,050
Perplexity1,420
Cloud + local platforms4 + 2
Self-hosted share14.5%
Most active platformClaude · 34%

Cost and quota

Know what consumes your AI budget.

Follow estimated model cost, token mix, cache use, and quota pace before spending becomes a surprise.

72%monthly quota
GPT-6$482
Claude Sonnet 5.5$310
Gemini 3.5 Pro$96
Llama via Ollama$12

Recommended action

Use a lighter model for simple tasks

Reduce broad context, route routine requests efficiently, and fix failing plugin loops.

The platform

From telemetry to a decision.

Ingest

OTLP logs, metrics, and traces over HTTPS from any OpenTelemetry source.

Normalize

Resolve users, agents, sessions, models, projects, and departments automatically.

Analyze

Connect tokens, cost, quota, and cache use to the work that generated them.

Secure

Keep each customer in an isolated database with content capture off by default.

One export protocol

Connect the tools your team already uses.

More than nine integrations feed one normalized OpenTelemetry pipeline.

Codex CLIClaude CodeCursorGitHub CopilotDevinOllamaLM StudioChatGPT DesktopAntigravity

Trust

Security and privacy by default.

Operational visibility should not require giving up control of your data.

Isolated by design

Every customer receives a separate database, not a shared table filtered by row.

Content capture off

Prompts, responses, and messages are removed before storage unless you enable them.

MFA included

Email and password authentication includes TOTP multi-factor protection.

Documented controls

Privacy, deletion requests, and data processing procedures are built into operations.

3signal types
9+integrations
30default retention days
1deployment command

News & events

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