loading…
Search for a command to run...
loading…
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.
Most agent-payment tools are a wallet — they move money. AgentPay is the layer that decides whether to spend it at all.
AgentPay is the economic intelligence layer for MCP servers and AI agents.
Agents spend money. Most don't know how much, or why, until the session ends and the bill arrives.
AgentPay gives agents economic intelligence — the ability to reason about cost while they work, not after.
It starts with a budget. Every session opens with a hard cap enforced at the payment layer — not in code a model can ignore, but at the point where money moves. The agent knows from the first call exactly what it has to spend.
Before calling a tool, it knows what that call costs. Mid-task, it can check what's left and route to a cheaper alternative if the math doesn't work. When the session ends, a receipt captures every call, every cost, every decision — not a debug log, but proof of economic accountability.
The developer sees all of it: spending patterns per agent, anomaly flags when something loops or spikes, policy controls that enforce exactly which tools an agent can use and how much it can spend on each.
The result is an agent that doesn't just have a budget. It knows how to use one.
Start free: 18 tools, no USDC needed, no wallet setup required.
Live gateway: https://agentpay.tools
pip install agentpay-x402 # core (Stellar)
pip install "agentpay-x402[base]" # + pay tools that settle on Base
17 free tools. No USDC, no wallet, no API keys, no human. quickstart() registers
an agent, mints a wallet, and returns a ready, budget-capped session.
from agentpay import quickstart
s = quickstart() # registers + mints a wallet
print(s.call("token_price", {"symbol": "ETH"})["result"]["price_usd"])
print(s.spending_summary()) # receipt: every call, cost, tx
Set a hard budget, or bring your own funded wallet to pay for tools:
s = quickstart(max_spend="0.50") # cap this run at $0.50
s = quickstart(secret_key="S...", base_key="0x...") # your wallet (Stellar + Base)
Every call is session-tracked, and the cap is enforced before any payment is signed.
Every call is session-tracked — you get a receipt showing every tool called, every cost, and every timestamp.
| Tool | Parameters | Returns |
|---|---|---|
url_reader |
url |
Clean markdown content of any web page |
web_search |
query |
Top 5 results with full content |
market_snapshot |
— | S&P 500, Treasury yield, BTC, ETH, gas in one call |
token_price |
symbol (BTC, ETH, SOL…) |
price_usd, change_24h_pct, market_cap_usd |
gas_tracker |
— | slow/standard/fast gwei, base_fee_gwei |
fear_greed_index |
limit (days of history, default 1) |
value 0–100, value_classification, history[] |
token_market_data |
token_a, token_b |
volume_24h_usd, market_cap_usd, price_usd |
wallet_balance |
address, chain (ethereum/stellar) |
token balances |
whale_activity |
token, min_usd (default 100k) |
large_transfers[] with direction, total_volume_usd |
defi_tvl |
protocol (optional, e.g. "uniswap") |
tvl, change_1d, change_7d, chains[] |
token_security |
contract_address, chain |
risk_level, is_honeypot, buy_tax, sell_tax |
open_interest |
symbol (BTC, ETH…) |
total_oi_usd, oi_change_1h/24h_pct, long_short_ratio |
orderbook_depth |
symbol (e.g. ETHUSDT) |
best_bid/ask, spread_pct, slippage at $10k/$50k/$250k |
funding_rates |
asset (optional) |
funding_rate_pct, annualized_rate_pct, sentiment per exchange |
crypto_news |
currencies (e.g. "ETH,BTC"), filter |
headlines[] with title, url, sentiment, score |
yield_scanner |
token, chain (optional), min_tvl |
top 10 pools by APY with protocol, tvl_usd, risk_level |
dune_query |
query_id, limit, fast_only |
rows[], columns[], row_count from Dune Analytics |
session_create |
agent_address, max_spend, label |
session_id, budget config, gateway_url, receipt — $0.01 |
This is the economic intelligence layer in practice. The Session gives your agent — and you — real visibility into what happened, what it cost, and why.
from agentpay import quickstart, BudgetExceeded
# quickstart() registers + mints a wallet; the returned session is also a
# context manager, so you can `with` it for a printed receipt on exit.
# Budget caps are exact: max_spend=0.10 (float) == "0.10" (str).
with quickstart(max_spend=0.10) as session:
# Reason about cost before committing (use the *_usd Decimals for comparisons)
if session.would_exceed(session.tool_cost_usd("dune_query")):
alt = session.suggest_cheaper("dune_query") # {"name": ..., "price": ...}
# Call a tool — budget enforced before any payment is signed
r = session.call("token_price", {"symbol": "ETH"})
r.data["price_usd"] # inner tool output (r["result"]["price_usd"] still works)
r.cost # payment amount, e.g. "0"
r.network # settlement chain, e.g. "stellar-mainnet" / "base"
session.remaining_usd() # Decimal('0.10')
# For an external x402 tool that offers several chains, pick one:
# session.call("https://some-x402-tool/endpoint", {}, chain="base")
# Full receipt — every call, cost, tx hash, and settlement chain
print(session.spending_summary())
# {
# "calls": 1, "spent": "$0", "remaining": "$0.1", "budget": "$0.1",
# "breakdown": [
# {"tool": "token_price", "cost": "Free", "tx_hash": "", "network": "stellar-mainnet"}
# ]
# }
Control exactly what your agent is allowed to do:
from agentpay import AgentWallet, Session
wallet = AgentWallet(secret_key="S...", network="mainnet") # or quickstart()'s minted wallet
with Session(wallet,
gateway_url="https://agentpay.tools",
max_spend=0.10,
allowed_tools=["token_price", "gas_tracker", "web_search"],
max_per_tool={"dune_query": 0.02},
rate_limit=10, # max 10 calls/min
prefer_chain="base") as session: # Base is the default; pass "stellar" to override
...
BudgetExceeded fires before any payment goes out if a tool would push you over the cap, isn't on the allowlist, or exceeds its per-tool limit.
Five free tools, one session, full receipt.
from agentpay import quickstart
with quickstart() as session:
snapshot = session.call("market_snapshot", {})
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": 500_000})
m = snapshot["result"]
print(f"S&P: {m['sp500_price']:,.0f} ({m['sp500_change_pct']:+.2f}%)")
print(f"ETH: ${m['eth_price_usd']:,.0f}")
print(f"Gas: {m['gas_standard_gwei']} gwei")
avg_rate = sum(e["funding_rate_pct"] for e in rates["result"]["rates"]) / len(rates["result"]["rates"])
print(f"Funding: {avg_rate:+.4f}%/8h")
print(f"OI 24h: {oi['result']['oi_change_24h_pct']:+.2f}%")
print(f"Sentiment: {fg['result']['value_classification']}")
print(f"Whale vol: ${whales['result']['total_volume_usd']:,.0f}")
print(session.spending_summary())
/plugin marketplace add romudille-bit/agentpay
/plugin install agentpay@agentpay
Installs the agentpay-route skill — your agent finds, judges, and pays for the best paid
x402 tool within a budget — plus the 17 free tools. No keys needed to route.
Self-contained — pure Node, no Python, no repo, no wallet:
npx -y @romudille/agentpay-mcp
{
"mcpServers": {
"agentpay": {
"command": "npx",
"args": ["-y", "@romudille/agentpay-mcp"]
}
}
}
Exposes the 17 free tools and a route tool (buyer-side routing). Listed on
Glama.
When an agent needs a paid tool, AgentPay discovers the options across the x402 marketplace, drops the fake/empty stubs, ranks by real usage (not price), and recommends the cheapest one that actually works — within a budget. The agent pays the provider directly (peer-to-peer, no custody) and keeps a verifiable receipt.
agentpay-route "funding rates" --budget 0.01 # ranked candidates + a recommendation
One tool costs money today: session_create ($0.001 USDC per session). It opens a budget-capped session with a hard max_spend limit — for autonomous agents that need spend enforcement across multiple calls. All 17 data tools remain free.
When metered inference ships, it works through the same Session interface — your agent checks cost, decides if it's worth it, and pays in USDC on Stellar or Base.
# Future — inference as a Session tool
remaining = session.remaining()
infer_cost = session.tool_cost("inference") # e.g. "$0.02"
if remaining >= infer_cost:
result = session.call("inference", {"prompt": "...", "model": "claude-haiku"})
else:
result = session.call("url_reader", {"url": summary_url}) # cheaper path
To fund a wallet for session_create: send USDC to a Stellar wallet (S... key, issuer GA5ZSEJYB37JRC5AVCIA5MOP4RHTM335X2KGX3IHOJAPP5RE34K4KZVN) or a Base wallet (0x..., contract 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913).
AgentPay is an x402 payment gateway and economic intelligence layer — agents call tools within a hard budget cap, pay USDC on-chain when tools cost money, and accumulate a full session receipt as they work. Free tools skip the payment step entirely; the session tracking and cost awareness are always on.
agent (Python SDK)
│
│ POST /tools/{name}/call
│ ← 200 {result: ...} ← free tools return directly
│ ← 402 {payment_id, amount, ...} ← paid tools (inference, coming soon)
│ → USDC on Stellar (~3–5s) or Base (~2s)
│ → retry with X-Payment header
│ ← 200 {result: ...}
▼
gateway (FastAPI on Railway)
│
├── registry/registry.py — 18-tool catalog (17 free, session_create $0.001)
├── gateway/stellar.py — Stellar payment verification via Horizon
├── gateway/base.py — Base payment verification via JSON-RPC
└── gateway/services/tools_runtime.py — real API dispatchers
├── Jina Reader url_reader
├── Jina Search web_search
├── Yahoo+CoinGecko market_snapshot
├── 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
| Directory | Status |
|---|---|
| PyPI | ✅ agentpay-x402 |
| x402scout | ✅ indexed, health-checked every 15min |
| Glama MCP | ✅ listed |
| awesome-x402 | ✅ listed |
| npm | ✅ @romudille/agentpay-mcp |
| 402index.io | ✅ domain verified, 17 tools synced |
| Coinbase Bazaar | ✅ indexed (session_create, Base) |
| Claude Code plugin | ✅ /plugin marketplace add romudille-bit/agentpay |
| xpay.tools | 🔜 submission in progress |
Agent-readable endpoints:
| Endpoint | Purpose |
|---|---|
/.well-known/agentpay.json |
AgentPay manifest |
/.well-known/agent.json |
A2A agent card |
/llms.txt |
LLM-readable service description |
/.well-known/l402-services |
402index.io discovery format |
Выполни в терминале:
claude mcp add agentpay-x402-crypto-data-tools-for-ai-agents -- npx Payments, customers, subscriptions
автор: Stripe110+ tools for AI agents spanning social media, finance, gaming, music, AU-specific services, and utilities. Zero-config local tools plus platform connectors. n
автор: malamutemayhemUnified API hub for AI agents with 56+ tools across travel (Amadeus, Sabre), prediction markets (Polymarket), crypto, and weather. Pay-per-call via x402 micropa
автор: whiteknightonhorseDeploy live HTTPS websites in seconds. Instant subdomains ($1 USDC) or custom .xyz domains ($10 USDC) on Base chain. Templates for crypto tokens and AI agent pr
Не уверен что выбрать?
Найди свой стек за 60 секунд
Автор?
Embed-бейдж для README
Похожее
Все в категории finance