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AgentPay — x402 crypto data gateway on Stellar. 10 live pay-per-call tools: token prices, whale activity, gas tracker, DeFi TVL, Fear & Greed, Dune queries, tok
AgentPay — x402 crypto data gateway on Stellar. 10 live pay-per-call tools: token prices, whale activity, gas tracker, DeFi TVL, Fear & Greed, Dune queries, token security. Agents pay USDC on Stellar. No API keys. Budget-aware sessions.
Pay per call. No subscriptions. No human in the loop.
AgentPay is an x402 payment gateway for AI agents. Access 14 crypto data tools using USDC on Stellar or Base — agents discover, pay, and get data back autonomously, within a hard budget cap.
→ 14 live tools: token prices, open interest, orderbook depth, whale activity, funding rates, gas tracker, DeFi TVL, Fear & Greed, yield scanner, token security, Dune queries and more → Budget-aware Session: agents estimate costs, track spend, never exceed budget → x402 protocol: works with any x402-compatible agent → Stellar + Base: pay with USDC on either network — Stellar (5s, ~$0.00001 fee) or Base mainnet (2s, ~$0.0001 fee)
Live gateway (mainnet): https://gateway-production-2cc2.up.railway.app
pip install agentpay-x402
from agentpay import faucet_wallet, Session
wallet = faucet_wallet() # instant testnet wallet, 0.05 USDC — no setup
with Session(wallet, testnet=True) as s:
r = s.call("token_price", {"symbol": "ETH"})
print(r["result"]["price_usd"])
That's it. No API keys, no accounts, no config.
Option A — Stellar mainnet (recommended)
Send USDC to a Stellar wallet via Coinbase, Lobstr, or any Stellar DEX. Then use your Stellar secret key (S...) directly.
USDC issuer on Stellar mainnet: GA5ZSEJYB37JRC5AVCIA5MOP4RHTM335X2KGX3IHOJAPP5RE34K4KZVN
Gateway: https://gateway-production-2cc2.up.railway.app — use network="mainnet"
Option B — Base mainnet (alternative)
Send USDC to an EVM wallet on Base. Use your EVM private key with network="base".
USDC contract on Base: 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913
Gateway: https://gateway-production-2cc2.up.railway.app — use network="base"
Option C — Testnet (free, no wallet needed)
Use faucet_wallet() from the SDK — one line, instant wallet with 0.05 USDC:
from agentpay import faucet_wallet
wallet = faucet_wallet() # prints public key + balance
Or via curl:
curl https://gateway-testnet-production.up.railway.app/faucet
from agentpay import AgentWallet, Session, BudgetExceeded
# Option A — Stellar mainnet
wallet = AgentWallet(secret_key="S...", network="mainnet")
# Option B — Base mainnet
# wallet = AgentWallet(secret_key="0x...", network="base")
# Option C — Testnet (faucet wallet)
# wallet = AgentWallet(secret_key="S...", network="testnet")
with Session(wallet, max_spend="0.05") as session:
print(f"Balance: {wallet.get_usdc_balance()} USDC")
print(f"Budget: {session.remaining()} remaining")
The Session enforces a hard USDC cap across all calls. It raises BudgetExceeded before any payment goes out if a tool would push you over, and automatically falls back to the next-cheapest tool in the same category when the preferred one is too expensive.
with Session(wallet, max_spend="0.05") as session:
# Token price — $0.001
r = session.call("token_price", {"symbol": "ETH"})
print(f"ETH: ${r['result']['price_usd']:,.2f} ({r['result']['change_24h_pct']:+.2f}% 24h)")
# Open interest — $0.002
r = session.call("open_interest", {"symbol": "ETH"})
print(f"ETH OI: ${r['result']['total_oi_usd']/1e9:.2f}B ({r['result']['oi_change_24h_pct']:+.2f}% 24h)")
# Orderbook depth — $0.002
r = session.call("orderbook_depth", {"symbol": "ETHUSDT"})
slip = next(d['slippage_pct'] for d in r['result']['depth'] if d['notional_usd'] == 250_000)
print(f"ETH $250k slippage: {slip:.3f}%")
# Funding rates — $0.003
r = session.call("funding_rates", {"asset": "ETH"})
for ex in r['result'].get("rates", [])[:2]:
print(f" {ex['exchange']}: {ex['funding_rate_pct']:+.4f}%/8h")
print(f"\nTotal spent: {session.spent()}")
print(f"Remaining: {session.remaining()}")
Each session.call() handles the full x402 flow internally:
402 with {payment_id, amount_usdc, pay_to}| Tool | Price | Parameters | Returns |
|---|---|---|---|
token_price |
$0.001 | symbol (BTC, ETH, SOL…) |
price_usd, change_24h_pct, market_cap_usd |
gas_tracker |
$0.001 | — | slow/standard/fast gwei, base_fee_gwei |
fear_greed_index |
$0.001 | limit (days of history, default 1) |
value 0–100, value_classification, history[] |
token_market_data |
$0.001 | token_a, token_b |
volume_24h_usd, market_cap_usd, price_usd |
wallet_balance |
$0.002 | address, chain (ethereum/stellar) |
token balances |
whale_activity |
$0.002 | token, min_usd (default 100k) |
large_transfers[] with exchange direction, total_volume_usd |
defi_tvl |
$0.002 | protocol (optional, e.g. "uniswap") |
tvl, change_1d, change_7d, chains[] |
token_security |
$0.002 | contract_address, chain (ethereum/bsc) |
risk_level, is_honeypot, buy_tax, sell_tax |
open_interest |
$0.002 | symbol (BTC, ETH…) |
total_oi_usd, oi_change_1h_pct, oi_change_24h_pct, long_short_ratio, exchanges[] |
orderbook_depth |
$0.002 | symbol (e.g. ETHUSDT), exchange (binance/bybit) |
best_bid, best_ask, spread_pct, slippage at $10k/$50k/$250k |
funding_rates |
$0.003 | asset (optional, e.g. "BTC") |
funding_rate_pct, annualized_rate_pct, sentiment per exchange |
crypto_news |
$0.003 | currencies (e.g. "ETH,BTC"), filter (hot/new/rising) |
headlines[] with title, url, sentiment, score |
yield_scanner |
$0.004 | token, chain (optional), min_tvl (default $1M) |
top 10 pools by APY with protocol, tvl_usd, risk_level |
dune_query |
$0.005 | query_id, limit (default 25), fast_only (bool) |
rows[], columns[], row_count from Dune Analytics |
Discover all tools dynamically:
import httpx
tools = httpx.get(f"{GATEWAY}/tools").json()["tools"]
for t in tools:
print(f"{t['name']:<22} ${t['price_usdc']} — {t['description']}")
Pull the market context your agent needs right before a decision — funding regime, OI momentum, sentiment, and whale activity — in one call, $0.008.
from agentpay import faucet_wallet, Session
wallet = faucet_wallet()
with Session(wallet, testnet=True) as session:
rates = session.call("funding_rates", {"asset": "ETH"})
oi = session.call("open_interest", {"symbol": "ETH"})
fg = session.call("fear_greed_index", {})
whales = session.call("whale_activity", {"token": "ETH", "min_usd": 500000})
avg_rate = sum(e["funding_rate_pct"] for e in rates["result"]["rates"]) / len(rates["result"]["rates"])
oi_24h = oi["result"]["oi_change_24h_pct"]
sentiment = fg["result"]["value_classification"]
whale_vol = whales["result"]["total_volume_usd"]
print(f"Funding: {avg_rate:+.4f}%/8h (~{avg_rate * 3 * 365:.0f}% APY if carried)")
print(f"OI 24h: {oi_24h:+.2f}%")
print(f"Sentiment: {sentiment}")
print(f"Whale vol: ${whale_vol:,.0f}")
print(f"Cost: {session.spent()}")
AgentPay accepts USDC payments on two networks:
transferWithAuthorization on Base mainnet)The gateway's 402 response advertises both options simultaneously. Clients pick the network that suits them — no configuration required on the tool side.
Stellar payments are verified on-chain via Stellar Horizon. The gateway checks that the transaction exists, is confirmed, sends USDC to the gateway address, and the amount matches the quoted price — all without requiring agents to trust a third party.
Base payments use Mode B direct on-chain settlement: the client calls transferWithAuthorization on the USDC contract and sends the tx_hash in the PAYMENT-SIGNATURE header. The gateway verifies the receipt via JSON-RPC.
AgentPay ships a Model Context Protocol server that gives Claude Desktop (and any MCP client) direct access to all 14 tools. Payments happen automatically in the background using Stellar USDC.
See README_MCP.md for setup instructions.
Quick config (claude_desktop_config.json):
{
"mcpServers": {
"agentpay": {
"command": "python",
"args": ["/path/to/agentpay/gateway/mcp_server.py"],
"env": {
"STELLAR_SECRET_KEY": "S...",
"AGENTPAY_GATEWAY_URL": "https://gateway-production-2cc2.up.railway.app"
}
}
}
}
Or via npm:
npx @romudille/agentpay-mcp
The x402 flow works with any HTTP client in any language.
GATEWAY="https://gateway-production-2cc2.up.railway.app"
AGENT_ADDR="G..." # your Stellar public key
# 1. Call the tool → receive 402 payment challenge
RESPONSE=$(curl -s -X POST "$GATEWAY/tools/token_price/call" \
-H "Content-Type: application/json" \
-d "{\"parameters\":{\"symbol\":\"ETH\"},\"agent_address\":\"$AGENT_ADDR\"}")
PAYMENT_ID=$(echo $RESPONSE | python3 -c "import sys,json; print(json.load(sys.stdin)['payment_id'])")
AMOUNT=$(echo $RESPONSE | python3 -c "import sys,json; print(json.load(sys.stdin)['amount_usdc'])")
PAY_TO=$(echo $RESPONSE | python3 -c "import sys,json; print(json.load(sys.stdin)['pay_to'])")
# 2. Send USDC on Stellar (memo = payment_id)
TX_HASH=$(python3 -c "
from stellar_sdk import Keypair, Server, Network, Asset, TransactionBuilder
kp = Keypair.from_secret('S...')
server = Server('https://horizon.stellar.org')
acct = server.load_account(kp.public_key)
tx = (TransactionBuilder(acct, Network.PUBLIC_NETWORK_PASSPHRASE, base_fee=100)
.add_text_memo('$PAYMENT_ID'[:28])
.append_payment_op('$PAY_TO', Asset('USDC','GA5ZSEJYB37JRC5AVCIA5MOP4RHTM335X2KGX3IHOJAPP5RE34K4KZVN'), '$AMOUNT')
.set_timeout(30).build())
tx.sign(kp)
print(server.submit_transaction(tx)['hash'])
")
# 3. Retry with payment proof → get data
curl -s -X POST "$GATEWAY/tools/token_price/call" \
-H "Content-Type: application/json" \
-H "X-Payment: tx_hash=$TX_HASH,from=$AGENT_ADDR,id=$PAYMENT_ID" \
-d "{\"parameters\":{\"symbol\":\"ETH\"},\"agent_address\":\"$AGENT_ADDR\"}"
# Pre-check price without paying
price = session.estimate("dune_query") # "$0.005"
# Check headroom before committing
if not session.would_exceed("0.005"):
result = session.call("dune_query", {"query_id": 3810512, "limit": 10})
# Access spend state mid-session
session.spent() # "$0.004"
session.remaining() # "$0.046"
# Full breakdown after session closes
summary = session.summary()
# {
# "calls": 3,
# "spent_usdc": "0.007",
# "spent_fmt": "$0.007",
# "remaining_fmt": "$0.043",
# "breakdown": [
# {"tool": "funding_rates", "amount_usdc": "0.003", "tx_hash": "abc123..."},
# {"tool": "open_interest", "amount_usdc": "0.002", "tx_hash": "def456..."},
# {"tool": "orderbook_depth", "amount_usdc": "0.002", "tx_hash": "ghi789..."}
# ]
# }
pip install agentpay-x402
from agentpay import faucet_wallet, Session
# Free testnet wallet — no setup
wallet = faucet_wallet()
with Session(wallet, testnet=True) as s:
r = s.call("fear_greed_index", {})
print(f"Fear & Greed: {r['result']['value']} ({r['result']['value_classification']})")
r = s.call("token_price", {"symbol": "ETH"})
print(f"ETH: ${r['result']['price_usd']:,.2f}")
print(f"Total cost: {s.spent()}")
agent (Python SDK)
│
│ POST /tools/{name}/call
│ ← 402 {payment_options: {stellar: {...}, base: {...}}}
│ → Stellar USDC payment (~3–5s) OR Base transferWithAuthorization (~2s)
│ → retry with X-Payment or PAYMENT-SIGNATURE header
│ ← 200 {result: ...}
▼
gateway (FastAPI on Railway)
│
├── registry/registry.py — 14-tool catalog with prices & dev wallets
├── gateway/stellar.py — Stellar payment verification via Horizon
├── gateway/base.py — Base payment verification via JSON-RPC
└── gateway/main.py — real API dispatchers
├── CoinGecko token_price, token_market_data
├── Etherscan V2 gas_tracker, whale_activity, wallet_balance
├── DeFiLlama defi_tvl, yield_scanner
├── alternative.me fear_greed_index
├── Reddit crypto_news
├── Dune Analytics dune_query
├── GoPlus token_security
└── Binance+Bybit+OKX funding_rates, open_interest, orderbook_depth
Fee model: Gateway charges 15% (GATEWAY_FEE_PERCENT=0.15), forwards the rest to each tool developer's Stellar wallet. All payments settle on-chain in ~3–5 seconds.
| Directory | Status |
|---|---|
| PyPI | ✅ agentpay-x402 v0.1.0 |
| x402scout | ✅ indexed, health-checked every 15min |
| Glama MCP | ✅ listed |
| awesome-x402 | ✅ listed |
| npm | ✅ @romudille/agentpay-mcp |
| 402index.io | ✅ domain verified, 14 tools synced |
| xpay.tools | 🔜 submission in progress |
AgentPay is discoverable by autonomous agents at standard well-known paths:
| Endpoint | Purpose |
|---|---|
/.well-known/agentpay.json |
AgentPay manifest |
/.well-known/agent.json |
A2A agent card |
/.well-known/l402-services |
402index.io discovery format |
/llms.txt |
LLM-readable service description (tools + integration guide) |
/sitemap.xml |
17-URL sitemap |
Any x402-compatible agent can discover and use AgentPay tools without human setup.
Добавь это в claude_desktop_config.json и перезапусти Claude Desktop.
{
"mcpServers": {
"agentpay-x402-crypto-data-tools-for-ai-agents": {
"command": "npx",
"args": []
}
}
}