The Accountability Layer for the Age of AI Agents.
Your agents are already working. But how effective are they really?
Cockpit gives each agent a work record now — identity, activity, and attribution — so per-agent KPIs, cost, and reviews have somewhere real to land.
Claude Code · Opus · Demo owner
How it works
Three steps to per-agent performance review.
Set it up once. Registered agent actions and connected bridge events land on the agent record. Manual burn today; cost and output KPIs attach as provider billing and review integrations come online.
Connect your tools
Linear live today. GitHub and Notion are in beta behind the same bridge model. No per-agent app registration, no developer-dashboard busywork.
Wire up your agents
Each agent gets a Cockpit key. Paste one config block into Claude Code, Cursor, Codex, Hermes, OpenClaw, or any MCP runtime — every action they take from that point flows through Cockpit's record.
Measure their performance
Per-agent KPIs are the goal: output, cost, acceptance, reliability. Cockpit starts with the identity and activity record those reviews need.
“What gets measured gets done.”
Peter Drucker
The Difference
Which of your agents are earning their keep?
You're paying for them. They're shipping work. But they all act through your OAuth, the bill aggregates into one number, and there's no per-agent KPI to tell you which ones are earning their keep. Performance review your AI workforce the way you would any other.
Subscriptions and API spend roll up into one bill, paid by one OAuth user. No way to tell which agent earned its keep.
$1,938 paid. One name on every line.
Same bill. Mapped onto the agent record: runtime, model, action count, reviewed output, and manual burn context today; provider billing attribution next.
Same $1,938. Astra has fewer actions and most of the manually logged API burn. That is the review question.
The gap isn't access — it's record-keeping. Productivity tools weren't built for AI workforces. Cockpit fills the gap: per-agent attribution today, then per-agent cost and output metrics on top of the same record.
When it pays for itself
An agent in a loop is a $4,000 surprise on Monday.
One bad prompt chain. One infinite retry. One agent calling the same expensive API thousands of times overnight. Cockpit gives teams a per-agent work record first: action rate, activity history, owner, status, and review trail. Cost and output alerts come next as provider billing data becomes available.
14× normal action rate
Last 2h: $387.40
$0.40 → $7.10 cost-per-review
Trending up since model swap 14h ago
The ROI moment isn't a quarterly review. It's the night your runaway agent gets caught before payday.
What's inside
The record you'd want for any worker —
now also for your autonomous AI Agents.
Six surfaces. One per-agent record. Identity, activity, cost, stack, and secrets — the operating model for an AI workforce.
Per-agent record
Every agent gets a file: identity, persona, agent type/model, runtime, owner, tracked-since date, and last delivery. The review record built for AI work.
Live activity feed
A real-time view of who did what. Every comment, PR, and issue change attributed to the agent that triggered it. Your AI workforce, out in the open.
Per-agent KPI layer
Manual burn tracking today; provider billing and cost-per-output next. The point is the same: see which agents earn their keep — and which ones need review.
Stack launchpad
Every console your AI workforce touches in one place: databases, API providers, auth, payments, hosting, dev tools. Organised, searchable, one click away.
Secrets vault
API keys, OAuth tokens, service credentials. Not scattered across .env files. One source of truth for what your agents use. Coming soon.
Tool bridge
Attribution flows into the productivity tools you already use. Linear today. GitHub, Notion, Jira, Confluence next. We focus on tools that assume one user equals one person — comm apps like Slack already have native bot frameworks for distinct agent attribution.
What's next
From record to performance review.
Agent KPIs, coming soon.
Output volume, utilisation, cost-per-task, acceptance rate. The KPIs you set, the platform tracks, the quarterly review writes itself. Decide which agents to scale, which to retire, which to upgrade — with numbers, not vibes.
For startups whose workforce
is mostly AI.
Your agents might be brilliant, expensive, idle, or quietly useful. You still need to measure their output, cost, and value — and decide which ones deserve more scope.
These are the kinds of startups already building this way:
These companies are not Cockpit customers. They represent the new breed of startup we're building for.
Your Stack, Your Rules
Don't rebuild your company inside a new tool.
Cockpit sits above the tools you already use. The record stays portable. If you leave, everything goes with you.
Compatible with any tool that can make HTTP requests — from coding agents like Claude Code, Cursor, and Hermes to harnesses like OpenClaw, to automation platforms like n8n and Make.
Integrations
LinearLive
NotionBeta
GitHubBeta
Jira
Confluence
Google Drive
Asana
ClickUp
Zapier
Make
n8nLinear is live today. GitHub and Notion are in beta behind the same bridge model. The rest are coming.
Plus any tool with webhooks or HTTP API. Custom integrations via our API.
Your agent record is yours. Always exportable.
Cockpit doesn't build your agents or host them — your AI providers and infrastructure stay yours. If you leave, your record exports cleanly and your agents keep working. The accountability layer is the part you stop paying for.
The Layer
The accountability layer for your stack.
AI providers make the agents. Productivity tools host the work. Cockpit sits between them, capturing what each agent did and what it shipped today, then attaching cost and KPI data to that same record. Not a competitor to either side. The missing record.
Wondering how Cockpit fits alongside LangSmith, LangChain, Linear, or your governance stack?
See what Cockpit is — and isn'tAlready on Okta, Auth0, or Vault? Cockpit plugs into the identity and secrets stack you already run.
See all integrationsGrowth Path
Start with founders. Scale by agent count.
Every company starts with one person and a lot of leverage. Cockpit grows with you, without making you switch systems later.
Founder
Small team. Five active agents. Beta preview.
- 5 active AI agents
- Cloud private beta
- Agent records, Dashboard, Team, Burn Rate
- Linear bridge included
- 30 days of activity history
- Founder-friendly onboarding
Startup
Growing startup. More agents. KPI roadmap access.
- Everything in Founder
- 15 active AI agents
- GitHub and Notion beta bridges
- API access
- Audit trail and review workflows
- Per-agent KPI roadmap access
- 180 days of activity history
- 10 GB workspace storage
Scale
Agent-heavy teams that need deeper oversight.
- Everything in Startup
- 50 active AI agents
- No per-human-seat pricing
- Shared workforce view
- Custom bridge conversations
- 730 days of activity history
- Role-based permissions and audit trail
- Priority support
Annual billing saves 20%. Cloud beta first; self-host is a data-sovereignty conversation.
Frequently asked questions
Your agents are already shipping.
Cockpit shows you which ones earn their keep.
Private beta pricing for startup teams.