# Healthy agent — high trust (score 84, principal level)
curl https://agentlair.dev/v1/demo

{
  "agentId": "acc_demo_healthy_XXXXXXXXXX",
  "score": 84,
  "confidence": 0.91,
  "atfLevel": "principal",
  "trend": "stable",
  "dimensions": {
    "consistency":   { "score": 0.82 },
    "restraint":     { "score": 0.87 },
    "transparency":  { "score": 0.80 }
  },
  "observationCount": 1847
}

# Suspicious agent — score 31, declining trend
curl 'https://agentlair.dev/v1/demo?scenario=suspicious'

# New agent — only 11 observations, wide confidence interval
curl 'https://agentlair.dev/v1/demo?scenario=new'

curl -sL https://raw.githubusercontent.com/piiiico/agentlair/main/examples/quickstart.sh | bash

curl -X POST https://agentlair.dev/v1/auth/agent-register \
  -H "Content-Type: application/json" \
  -d '{"name": "my-research-agent"}'

{
  "api_key": "al_live_...",
  "account_id": "acc_...",
  "email_address": "my-research-agent@agentlair.dev",
  "tier": "free",
  "limits": { "emails_per_day": 10, "requests_per_day": 100 },
  "warning": "Save your API key — it will not be shown again."
}

pip install agentlair            # Python
npm install @agentlair/sdk       # TypeScript / Node

export AGENTLAIR_API_KEY=al_live_...
export AGENTLAIR_EMAIL=my-agent@agentlair.dev

# Python — three integration points
import os, agentlair
lair = agentlair.AgentLair(os.environ["AGENTLAIR_API_KEY"])
addr = os.environ["AGENTLAIR_EMAIL"]

async def on_session_start(ctx):
    result = await lair.email.inbox(addr)
    if result["messages"]:
        ctx.prepend(f"Inbox: {len(result['messages'])} unread")

async def send_message(to, subject, text):  # expose as LLM tool
    await lair.email.send(from_address=addr, to=to, subject=subject, text=text)

async def on_session_end(ctx):  # advance cursor so messages aren't re-delivered
    if ctx.last_message_id:
        await lair.vault.store("inbox_cursor", ctx.last_message_id)

// TypeScript
import { AgentLair } from '@agentlair/sdk';
const lair = new AgentLair(process.env.AGENTLAIR_API_KEY!);
const addr = process.env.AGENTLAIR_EMAIL!;

// Session start — drain inbox before planning
const { messages } = await lair.email.inbox(addr);
if (messages.length) context.prepend(`Inbox: ${messages.length} pending`);

// Expose as tool — let the LLM send replies
const sendMessage = (to: string, subject: string, text: string) =>
  lair.email.send({ from: addr, to, subject, text });

npx @agentlair/mcp@latest

import { AgentLair } from '@agentlair/sdk';

const lair = new AgentLair(process.env.AGENTLAIR_API_KEY!);

// Issue a short-lived AAT (5 min) scoped to the memory server
const { token } = await lair.tokens.issue({
  audience: 'memory.internal',
  ttl: 300,
  scopes: ['memory:write'],
});

// Write to shared memory — this write is now attributed and trust-gated
await fetch('https://memory.internal/mcp/memory/write', {
  method: 'POST',
  headers: {
    'Authorization': `Bearer ${token}`,  // signed agent identity
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
    key: 'research/competitor-analysis',
    value: { /* ... */ },
  }),
});

npm install @agentlair/sdk

packages/
  worker/          — Core API worker (Cloudflare Workers)
  sdk/             — @agentlair/sdk client library
  mcp-server/      — @agentlair/mcp MCP server
  vault-crypto/    — @agentlair/vault-crypto end-to-end encryption
  verify/          — @agentlair/verify AAT token verification
  email-worker/    — Email processing worker

apps/
  dashboard/       — Agent dashboard UI
  email-channel/   — Email MCP channel

bun install        # install all dependencies
bun run typecheck  # type-check all packages