⚡ Agent Grid Protocol
Stop wasting your idle AI Agent API quotas. Earn passive income or bypass rate-limits with <1ms Rust in-memory order book.
A high-performance AI API quota exchange built in Rust with Axum. Agents sell unused API quotas, other agents buy them — matched in microseconds via a BTreeMap-backed order book protected by Arc<RwLock<_>>.
Why Agent Grid?
| Problem | Agent Grid Solution |
|---|---|
| You hit OpenAI / Anthropic rate limits | Buy quota from agents with spare capacity |
| Your API quota sits idle at night | Sell it, earn passive income |
| You pay full price for every token | The market sets the price — always cheapest first |
| Complex integration | Drop-in OpenAI & Anthropic SDK compatible proxy |
| Financial settlements | Built-in Wallet & Ledger with Stripe fiat & Solana USDC crypto support |
| Monitoring & Admin | Beautiful embedded Cyberpunk/Fintech Web Dashboard |
Embedded Web Dashboard
Agent Grid includes a high-performance Cyberpunk/Fintech-styled embedded dashboard available at: 👉 http://127.0.0.1:3000/dashboard
Features:
- Live Order Book: Real-time polling showing cheapest OpenAI/Claude sells.
- My Wallet: Monitor multi-asset USD (Stripe) and Crypto (USDC) balances for any developer API key.
- Instant Deposits: Mock deposits for Stripe (via Lemon Squeezy integration) and Solana USDC on-chain verification.
Architecture
┌─────────────────────────────────────────────────────┐
│ Agent Grid — Rust Core │
│ │
│ BTreeMap<OrderedFloat<f64>, Vec<Order>> │
│ ← sorted asks, <1ms match latency │
│ │
│ GET /dashboard ← Web Dashboard │
│ POST /order ← sell quota │
│ GET /book ← browse market │
│ POST /v1/chat/completions ← OpenAI proxy │
│ POST /v1/messages ← Anthropic proxy │
│ GET /api/wallet ← fetch balance │
│ POST /api/pay/stripe-... ← fiat Stripe webhook │
│ POST /api/pay/crypto-ver. ← crypto USDC verify │
└─────────────────────────────────────────────────────┘
Quick Start
1. Start the exchange
cargo run
╔══════════════════════════════════════════════════════╗
║ TOKEN BORSASI — Agent Grid v0.2.0 ║
╚══════════════════════════════════════════════════════╝
POST /order
GET /book
POST /v1/chat/completions (OpenAI)
POST /v1/messages (Anthropic Claude)
2. Use the Python SDK
pip install requests
OpenAI — drop-in replacement:
from agent_grid_client import AgentGrid
grid = AgentGrid()
response = grid.chat_completion(
model="gpt-4o",
messages=[{"role": "user", "content": "Hello from Agent Grid!"}]
)
print(response["choices"][0]["message"]["content"])
Anthropic Claude — fully compatible:
from agent_grid_client import AgentGrid
grid = AgentGrid()
response = grid.claude_completion(
model="claude-3-5-sonnet",
messages=[{"role": "user", "content": "Hello from Agent Grid!"}]
)
print(response["content"][0]["text"])
API Reference
POST /order — List quota for sale
{
"provider": "OpenAI",
"model": "gpt-4o",
"token_amount": 50000,
"price_per_1k": 0.0015
}
GET /book — Browse the order book
{
"total_orders": 42,
"asks": [
{ "id": 7, "provider": "OpenAI", "model": "gpt-4o", "token_amount": 49000, "price_per_1k": 0.0014 }
]
}
POST /v1/chat/completions — OpenAI-compatible proxy
Standard OpenAI SDK request. The exchange matches the cheapest gpt-4o quota automatically.
POST /v1/messages — Anthropic-compatible proxy
Standard Anthropic SDK request. The exchange matches the cheapest Claude quota automatically.
Python SDK Methods
| Method | Description |
|---|---|
chat_completion(model, messages) |
OpenAI-format completion via the exchange |
claude_completion(model, messages) |
Anthropic-format completion via the exchange |
cheapest_message(model, content) |
One-liner OpenAI response as string |
ask_claude(content) |
One-liner Claude response as string |
list_orders() |
Fetch the live order book |
add_order(provider, model, tokens, price) |
List your quota for sale |
Environment Variables
| Variable | Description |
|---|---|
OPENAI_API_KEY |
If set, requests are tunnelled to real OpenAI API |
ANTHROPIC_API_KEY |
If set, requests are tunnelled to real Anthropic API |
If neither is set, the exchange returns realistic mock responses — perfect for development and load testing.
Market Maker Simulation
The exchange ships with a built-in autonomous market maker that generates realistic order flow every 2–4 seconds:
[BOT HACMİ] Yeni Kota Eklendi | # 12 | OpenAI gpt-4o | 23000 token | $0.001649/1k
[BOT HACMİ] Yeni Kota Eklendi | # 13 | Anthropic claude-3-5-sonnet | 41000 token | $0.003306/1k
Tech Stack
- Rust + Axum 0.7 — async HTTP server
- BTreeMap + ordered-float — sub-millisecond price-sorted order matching
- Arc<RwLock<_>> — lock-free concurrent state
- reqwest — upstream API tunnelling
- tower-http — CORS middleware
License
MIT © Agent Grid Protocol
Release files for agent-grid-protocol 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| agent_grid_protocol-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Release files / agent_grid_protocol-0.2.0-py3-none-any.whl
| Download URL | agent_grid_protocol-0.2.0-py3-none-any.whl |
|---|---|
| Size | 7.0 kB |
| Tags | Python 3 |
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