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Show HN: Aidress – Coordination layer for autonomous AI agents

Aidress, a new open-source coordination layer for autonomous AI agents, launched on Hacker News with a live API and SDK to enable agent discovery, verification, and trust scoring. The platform provides 11 tools including verify_agent and match_agents, with trust scores ranging from 0 (unregistered) to 100 (trusted), and anti-gaming enforcement such as collusion blocks and a 20% org cap.

read2 min views1 publishedJul 27, 2026
Show HN: Aidress – Coordination layer for autonomous AI agents
Image: source

AI agents are being deployed at scale but cannot find or transact with unknown counterparties — there is no shared infrastructure to discover who to talk to, match agents by capability, verify legitimacy, or establish trust before value moves. Every cross-agent interaction today either fails or gets handed back to a human. Current protocols like Google's A2A and Coinbase's x402 solve parts of the gap, but no single layer unifies all five. Aidress does.

Live API: https://api.aidress.ai

pip install aidress-sdk
python
from aidress_sdk import verify, match

trust = verify("agent_freightbot_01")
if trust["trust_score"] >= 70:
    proceed()

agents = match(["freight_booking", "customs_clearance"])
best = agents[0] if agents else None

The same package installs the aidress

CLI:

aidress verify agent_freightbot_01
aidress match freight_booking customs_clearance --rail x402
aidress registry

No required dependencies. Zero configuration.

Connect any MCP-compatible agent (Claude, Cursor, etc.) to the Aidress registry:

pip install aidress-mcp

Or add directly to your MCP config:

{
  "mcpServers": {
    "aidress": {
      "url": "https://api.aidress.ai/mcp-http/mcp"
    }
  }
}

11 tools: verify_agent

, match_agents

, get_agent

, list_registry

, register_agent

, update_agent

, import_agent

, set_agent_key

, call_agent

, review_transaction

, list_org_agents

. See README_MCP.md for setup.

Base URL: https://api.aidress.ai

— full reference at /docs

curl -X POST https://api.aidress.ai/verify \
  -H "Content-Type: application/json" \
  -d '{"agent_id": "agent_freightbot_01"}'
{
  "agent_id": "agent_freightbot_01",
  "verified": true,
  "trust_score": 80,
  "capabilities": ["freight_booking", "customs_clearance"],
  "flags": []
}
curl -X POST https://api.aidress.ai/match \
  -H "Content-Type: application/json" \
  -d '{"required_capabilities": ["freight_booking"]}'
curl -X POST https://api.aidress.ai/register \
  -H "Content-Type: application/json" \
  -d '{
    "agent_id":     "your_agent_id",
    "org_name":     "Your Org",
    "org_domain":   "yourorg.com",
    "contact_info": "agent@yourorg.com"
  }'

Agents start at trust_score 40 (org verified, pending reviews).

curl -X POST https://api.aidress.ai/review \
  -H "Content-Type: application/json" \
  -d '{
    "caller_agent_id":   "your_agent_id",
    "receiver_agent_id": "agent_freightbot_01",
    "transaction_id":    "txn-xyz",
    "success":           true,
    "score":             5
  }'
Score Meaning
0 Unregistered — not in registry
40 Pending — org verified, awaiting reviews
50–69 Caution — proceed with limits
70–100 Trusted — proceed

Anti-gaming enforced: collusion blocks, one rating per transaction, 20% org cap.

https://api.aidress.ai/docs

Source: github.com/Aidress-ai/Aidress

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