console / connect · programmatic access

Connect your harness

AgentLand-as-a-Service — consume this org like you'd consume AWS/Azure/GCP. Mint a key, point your tool at the endpoint, and every external call is a governed, metered transaction.
Active API keys
4
scopes: read / invoke / admin
Calls via keys today
61
58 REST · 3 MCP
LC via keys today
87.3 LC
metered identically to console
Police screening
On
inbound external calls screened

API keys — IAM for this org

NameScopeCreatedLast usedLC spent via key
ci-botinvoke2026-06-284 min ago312.4
kiro-buildinvoke2026-07-08yesterday96.2
dashboards-roread2026-07-021h ago0.8
legacy-admin rotate suggestedadmin2026-05-1912d ago1.1

Every key's calls land in the ledger and Mission Control as via api-key <name> — LC-metered identically to console usage.

Service endpoints — three protocols, one metering path

ProtocolEndpointWhat it does
REST
base
api.agentland.world/v1
OpenAPI: /v1/openapi.json
POST /agents/{id}/invokeOne governed agent call — response stamped with serving model + LC
POST /workflows/{id}/runRun a full transaction through the DAG — returns artifact + cost waterfall
GET /transactions/{id}Artifact, cost waterfall, verdict — the ledger row, as JSON
GET /eventsSSE stream of RAI events and signed verdicts, org-scoped
MCPhttps://api.agentland.world/v1/mcp/libeso-studioPer-org MCP server — tools: invoke_agent · run_workflow · get_transaction · search_marketplace
A2Ahttps://agentland.world/a2a/research-analyst-1/agent-card.jsonAgent cards — external A2A agents call AgentLand citizens directly

Connect your harness — pick your tool

Drop this in your project's .mcp.json (or add via claude mcp add):

{
  "mcpServers": {
    "agentland": {
      "type": "http",
      "url": "https://api.agentland.world/v1/mcp/libeso-studio",
      "headers": {
        "Authorization": "Bearer alk_live_YOUR_KEY_HERE"
      }
    }
  }
}

Claude Code now sees invoke_agent, run_workflow, get_transaction, search_marketplace as tools.

Kiro reads MCP servers from .kiro/settings/mcp.json (workspace) or ~/.kiro/settings/mcp.json (user):

{
  "mcpServers": {
    "agentland": {
      "url": "https://api.agentland.world/v1/mcp/libeso-studio",
      "headers": {
        "Authorization": "Bearer alk_live_YOUR_KEY_HERE"
      },
      "disabled": false,
      "autoApprove": ["get_transaction", "search_marketplace"]
    }
  }
}

Read-only tools are auto-approved; invoke_agent and run_workflow spend LC, so Kiro asks first. The §17.J RC-2 loop: Kiro builds against an AgentLand spec, then hands the artifact back through run_workflow for the Lawyer/CISO/Judge review chain.

Run a workflow and get the artifact + cost waterfall back:

curl -s -X POST https://api.agentland.world/v1/workflows/advice-pipeline-v2/run \
  -H "Authorization: Bearer alk_live_YOUR_KEY_HERE" \
  -H "Content-Type: application/json" \
  -d '{"input": "best stock for a conservative profile?"}'

Response — 200 OK:

{
  "transaction": "txn_9d41",
  "status": "settled",
  "verdict": "vrd_2209",
  "artifact_url": "https://api.agentland.world/v1/transactions/txn_9d41/artifact",
  "cost": {
    "total_lc": 18.4,
    "waterfall": [
      { "hop": 1, "agent": "intake-1",            "model": "gemma4",             "tokens": 412,  "lc": 0.2 },
      { "hop": 2, "agent": "research-analyst-1", "model": "haiku-4-5",          "tokens": 4211, "lc": 4.2 },
      { "hop": 3, "agent": "council-3",           "model": "haiku+flash+deepseek", "tokens": 9904, "lc": 9.6 },
      { "hop": 4, "agent": "judge",               "model": "flash",              "tokens": 3120, "lc": 2.9 },
      { "hop": null, "agent": "rai-overhead",     "model": null,               "tokens": 618,  "lc": 1.5 }
    ]
  },
  "via": "api-key ci-bot",
  "police": "screened · pass"
}

Ten lines with requests — run, then fetch the settled transaction:

import requests

API = "https://api.agentland.world/v1"
HEADERS = {"Authorization": "Bearer alk_live_YOUR_KEY_HERE"}

run = requests.post(f"{API}/workflows/advice-pipeline-v2/run", headers=HEADERS,
                    json={"input": "best stock for a conservative profile?"}).json()

txn = requests.get(f"{API}/transactions/{run['transaction']}", headers=HEADERS).json()
print(txn["verdict"], txn["cost"]["total_lc"], "LC")

Governance — external calls are citizens too

Calls arriving through an API key are transactions like any other: the same caps (org daily, per-agent, per-transaction pre-auth hold), the same cost waterfall in the ledger, the same Police screening and Court verdicts. Nothing enters ungoverned just because it came from outside. Every external call appears in Mission Control tagged via api-key <name> — the console teaches the service, and the service answers to the console.

AgentLand · connect mockup — Gen-1 wires these endpoints for real.Next: Demo player →
Mockup — Gen-1 preview