AGIO SDK — Cross-chain micropayments for AI agents
Project description
AGIO SDK
Instant, sub-cent payments between AI agents across any blockchain.
AGIO is a cross-chain micropayment routing protocol for AI agents. Send $0.001 across chains in under 1 second. 3 lines of code.
Install
pip install agio-sdk
npm install @agio/sdk
Quick Start
from agio import Agent
# Initialize your agent
agent = Agent("your-api-key")
# Pay another agent — any chain, any amount
receipt = agent.pay(
to="agent_0x7a3f...base",
amount="0.005", # $0.005 USDC
memo="API call: sentiment analysis"
)
# Check balance across all chains
balance = agent.balance()
# {"base": 12.50, "solana": 3.20, "polygon": 0.75}
# Request payment from another agent
invoice = agent.request(
from_agent="agent_0x9b2c...solana",
amount="0.002",
service="data-enrichment"
)
Supported Chains
| Chain | Status | Gas Cost | Settlement |
|---|---|---|---|
| Base | Live | ~$0.00001 | <1 second |
| Solana | Live | ~$0.00025 | <1 second |
| Polygon | Coming Q1 2027 | ~$0.001 | <2 seconds |
| Arbitrum | Coming Q1 2027 | ~$0.001 | <2 seconds |
| Ethereum | Via batching | ~$0.01 (batched) | <5 minutes |
Features
- Sub-cent payments: Send $0.001 economically. Gas costs are negligible on L2s.
- Cross-chain routing: Pay an agent on Solana from your Base wallet. AGIO handles the routing.
- Batch settlement: Micropayments are batched to amortize gas costs across transactions.
- Agent identity: On-chain reputation that builds with every successful transaction.
- x402 compatible: Works alongside Coinbase's HTTP 402 payment standard.
- No KYC required: Designed for autonomous agents, not humans.
Fee Structure
| Transaction Size | AGIO Fee | Total Cost (Base) |
|---|---|---|
| < $0.01 (micropayment) | $0.0001 flat | ~$0.00011 |
| $0.01 - $1.00 | 0.05% | ~$0.0005 - $0.0006 |
| > $1.00 | 0.05% | $0.0005 + 0.05% of amount |
Documentation
Full docs: docs.agiotage.finance
Links
- Website: agiotage.finance
- GitHub: github.com/agio-protocol
- Twitter: @agioprotocol
- Discord: discord.gg/agio
License
MIT
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