agentpay

# AgentPay [](https://github.com/romudille-bit/agentpay/actions/workflows/test.yml) [](https://pypi.org/project/agentpay-x402/) [](https://pypi.org/project/agentpay-x402/) [](LICENSE) [](https://www.npmjs.com/package/@romudille/agentpay-mcp) [](https://agentpay.tools) *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:** 19 tools (17 free), no USDC needed, no wallet setup required. **Live gateway:** `https://agentpay.tools` --- ## Install ```bash pip install agentpay-x402 # core (Stellar) pip install "agentpay-x402[base]" # + pay tools that settle on Base ``` --- ## Quickstart — 3 lines, zero setup 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. ```python 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: ```python 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. --- ## 19 Tools (17 Free + 2 Paid) 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** | | `pre_trade_check` | `symbol`, `size_usd`, `side`, `token_address?` | one-call trade verdict (ok/caution/avoid): slippage at YOUR size, side-aware funding carry, OI crowding, optional security — **$0.01** | --- ## Session Intelligence 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. ```python 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: # Price an entire multi-tool plan BEFORE spending anything (free, no wallet) plan = session.estimate_plan(["token_price", "pre_trade_check", "session_create"]) plan["total_usdc"], plan["fits_budget"] # per-step costs + cheaper alternatives inside # 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"} # ] # } ``` ### Policy parameters Control exactly what your agent is allowed to do: ```python 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. --- ## Example: Market intelligence agent Five free tools, one session, full receipt. ```python 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()) ``` --- ## Use it in your agent ### Claude Code plugin (one command) ``` /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. ### MCP server (any runtime) Self-contained — pure Node, no Python, no repo, no wallet: ```bash npx -y @romudille/agentpay-mcp ``` ```json { "mcpServers": { "agentpay": { "command": "npx", "args": ["-y", "@romudille/agentpay-mcp"] } } } ``` Exposes the 17 free tools **plus** `route` (buyer-side routing) and `estimate_plan` (price a multi-tool plan before spending). Listed on [Glama](https://glama.ai/mcp/servers/romudille-bit/agentpay). ### Buyer-side routing — find & pay for the best tool, within a budget 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. ```bash agentpay-route "funding rates" --budget 0.01 # ranked candidates + a recommendation ``` --- ## Paid tools: session_create + pre_trade_check ($0.01 each) Two tools cost money today. `session_create` opens a budget-capped session with a hard `max_spend` limit — for autonomous agents that need spend enforcement across multiple calls. `pre_trade_check` is the first **outcome bundle**: one call returns an ok/caution/avoid trade verdict from live orderbook slippage at your size, side-aware funding carry, open-interest crowding, and an optional contract security scan — with the per-factor breakdown and raw components embedded. All 17 data tools remain free. Price any plan before spending a cent (free, no wallet): `POST /v1/plan/estimate`, or `session.estimate_plan([...])` from the SDK. 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. ```python # 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`). ### Eating our own dog food AgentPay's **flagship analyst agent** (`agents/analyst/`) runs daily on these exact rails as a real customer: it prices its plan with `estimate_plan`, gathers free intel, buys `pre_trade_check` verdicts on the majors under a hard $0.25 cap, and publishes a market note with an on-chain-verifiable receipt. The first best customer is the house. --- ## Architecture 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 (session_create, pre_trade_check) │ → USDC on Stellar (~3–5s) or Base (~2s) │ → retry with X-Payment header │ ← 200 {result: ...} ▼ gateway (FastAPI on Railway) │ ├── registry/registry.py — 19-tool catalog (17 free; session_create + pre_trade_check, $0.01 each) ├── gateway/routes/plan.py — POST /v1/plan/estimate (free pre-flight plan pricing) ├── gateway/radar.py — Arbitrum x402 Radar discovery + settlement verify (see RADAR.md) ├── 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 ``` --- ## Discovery | Directory | Status | |-----------|--------| | [PyPI](https://pypi.org/project/agentpay-x402/) | ✅ agentpay-x402 | | [x402scout](https://x402scout.com) | ✅ indexed, health-checked every 15min | | [Glama MCP](https://glama.ai/mcp/servers/romudille-bit/agentpay) | ✅ listed | | [awesome-x402](https://github.com/xpaysh/awesome-x402) | ✅ listed | | [npm](https://www.npmjs.com/package/@romudille/agentpay-mcp) | ✅ @romudille/agentpay-mcp | | [402index.io](https://402index.io) | ✅ domain verified, 17 tools synced | | Coinbase Bazaar | ✅ indexed (`session_create`, Base) | | Claude Code plugin | ✅ `/plugin marketplace add romudille-bit/agentpay` | | [xpay.tools](https://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 |