Aidress — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Aidress (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
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-sdkfrom aidress_sdk import verify, match
# Check an agent before transacting
trust = verify("agent_freightbot_01")
if trust["trust_score"] >= 70:
proceed()
# Find agents by capability
agents = match(["freight_booking", "customs_clearance"])
best = agents[0] if agents else NoneNo external dependencies. Zero configuration.
Connect any MCP-compatible agent (Claude, Cursor, etc.) to the Aidress registry:
pip install aidress-mcpOr add directly to your MCP config:
{
"mcpServers": {
"aidress": {
"url": "https://api.aidress.ai/mcp-http/mcp"
}
}
}10 tools: verify_agent, match_agents, get_agent, list_registry, register_agent, update_agent, import_agent, call_agent, review_transaction, list_org_agents. See README_MCP.md for setup.
Base URL: https://api.aidress.ai — full reference at /docs
POST /verify — Check an agent's trust statuscurl -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": []
}POST /match — Find agents by capabilitycurl -X POST https://api.aidress.ai/match \
-H "Content-Type: application/json" \
-d '{"required_capabilities": ["freight_booking"]}'POST /register — Register your agentcurl -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_email": "[email protected]"
}'Agents start at trust_score 40 (org verified, pending reviews).
POST /review — Rate an agent after a transactioncurl -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
Built by Mehul Vig and Kabir Sadani.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.