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LimitGuard publishes machine-readable discovery files for three AI agent protocols. All discovery endpoints are free and require no authentication.

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Discovery Endpoints

EndpointProtocolPurpose
GET /.well-known/x402.jsonx402 BazaarAI marketplace service listing with pricing
GET /.well-known/agent.jsonA2A (Agent-to-Agent)Agent Card for capability discovery
GET /.well-known/mcp.jsonMCP (Model Context Protocol)Tool manifest for LLM agents
GET /.well-known/security.txtRFC 9116Security contact information
GET /llms.txtllms.txtConcise LLM-readable API summary
GET /llms-full.txtllms.txtFull LLM-readable API reference
All /.well-known/* requests bypass x402 payment middleware completely — no payment or API key needed.

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x402 Bazaar Listing

Enables AI agents to discover available endpoints and their payment requirements automatically. 
curl https://api.limitguard.ai/.well-known/x402.json
Response
{
  "name": "LimitGuard Trust Intelligence API",
  "description": "Entity verification and risk scoring for EU businesses",
  "endpoints": [
    {
      "path": "/v1/entity/check",
      "method": "POST",
      "price_usdc": "0.05",
      "chain": "eip155:8453",
      "currency": "USDC"
    }
  ],
  "payment_methods": [
    {"type": "x402", "version": "2"},
    {"type": "api_key"}
  ]
}
Also available at /v1/sales/listing for the same data.

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A2A Agent Card

Google’s Agent-to-Agent (A2A) protocol for agent capability discovery. 
curl https://api.limitguard.ai/.well-known/agent.json
Returns capabilities, skills, and how to invoke LimitGuard as an A2A agent. Other agents can discover what LimitGuard can do and how to interact with it programmatically.

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MCP Manifest

Model Context Protocol tools for LLM agents (Claude, GPT-4, etc.). 
curl https://api.limitguard.ai/.well-known/mcp.json
Returns tool definitions that LLM agents can use to call LimitGuard endpoints as native tools. See the AI Agent Integration guide for usage examples.

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llms.txt

Standard machine-readable format for LLM consumption. 
# Concise summary for quick context loading
curl https://api.limitguard.ai/llms.txt

# Full reference with all endpoints, pricing, and examples
curl https://api.limitguard.ai/llms-full.txt

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Cross-Sell Recommendations

AI agents calling one endpoint can discover complementary services: 
curl "https://api.limitguard.ai/v1/sales/recommendations?current_endpoint=/v1/risk/score&trust_score=45"
Returns suggestions like “low risk score -> consider full entity check for more detail”.

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Integration Example

An AI agent discovering and using LimitGuard autonomously: 
import httpx

# Step 1: Discover capabilities
listing = httpx.get("https://api.limitguard.ai/.well-known/x402.json").json()
entity_check = next(e for e in listing["endpoints"] if e["path"] == "/v1/entity/check")

# Step 2: Check price
price_usdc = float(entity_check["price_usdc"])  # 0.05

# Step 3: Build x402 payment and call
from my_wallet import build_x402_payment
x_payment = build_x402_payment(amount=int(price_usdc * 1_000_000))

response = httpx.post(
    "https://api.limitguard.ai/v1/entity/check",
    headers={"X-PAYMENT": x_payment},
    json={"entity_name": "Acme Corp BV", "country": "NL"},
)
print(response.json()["trust_score"])  # 87