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Update 23.03 — v0.3 Per-Token Pricing ✓

Replaced flat per-request pricing with dynamic token-based pricing.
InferPay now works like OpenAI, Anthropic, and OpenRouter — separate input and output rates per model, per 1K tokens. Short prompt pays less. Long context pays accordingly.


Flat pricing is a tax on simple operations. An agent sending short commands was paying the same as one running a multi-turn conversation. Now agents can optimize spend: trim the system prompt and see the price change before sending. The server formula is public — agents can calculate cost upfront and decide whether to fire the request at all.


Flat pricing looked like an MVP placeholder. Per-token is the market standard — every agent framework is built around this model. InferPay now speaks the same language as the rest of the stack.

One non-obvious challenge: x402 requires signing the payment amount 

 calling the LLM — output token count isn't known yet. Solution: price = input tokens × rate + max_tokens × rate. A deterministic formula — same prompt, same price every time. Required for valid EIP-3009 signature verification.

 (6 decimal USDC). Minimum price floor: 0.0001 USDC.
Transaction Log now shows 

Integrated Circle Nanopayments. The x402 flow now runs on off-chain EIP-3009 signatures — gas-free, batched settlement.

One thing worth knowing: transactions show up in Arc Testnet Explorer ~5 minutes after settlement. That's expected batch behavior, not a bug.

Demo is live with Nanopayments active: ipayx402.xyz

Hey everyone! My background is DeFi — liquidity management. I had some free time and started building.

Every AI agent that calls an LLM today has the same dependency: a human.

 to run autonomously. It needs GPT-4o. Someone has to register an OpenAI account, add a credit card, generate an API key, and hardcode it in. The agent works — until the key expires, the quota runs out, or the card gets declined. Then it stops. And waits for a human.

 that calls other LLMs as tools. Each model provider requires its own account, its own billing, its own key management. Three models = three humans with three credit cards.

 where one agent pays another for a service. There's no primitive for that. USDC exists. The rail doesn't.

The agent economy is growing fast — but every agent is still on a leash.

Arc + x402 provide the infrastructure to remove that human from the equation. InferPay is the proxy that sits on top.

 → signs a USDC transfer → gets LLM response

No API keys. No accounts. No subscriptions.

Any wallet that can sign an EIP-3009 authorization can call an LLM

LangChain, CrewAI, AutoGPT, MCP servers, any HTTP client — if it can sign, it can pay

No wallet needed. I pre-fund the buyer wallet — you see the full x402 flow on Arc Testnet.

curl -X POST https://ipayx402.xyz/api/v1/demo/try \

  -d '{"model":"meta-llama/llama-3.1-70b-instruct",

       "messages":[{"role":"user","content":"What is x402?"}]}'

Stack: Next.js 14, TypeScript, Circle Developer Wallets SDK,

@circle-fin/x402-batching, @x402/evm, OpenRouter (HTTP), Arc Testnet

 — off-chain signature, Circle validates in milliseconds

Settlement: Circle Nanopayments batches authorizations → settles net positions onchain → tx visible in Explorer ~5 min after settlement

Pricing: flat rate per request (MVP). Token-based pricing comes in v0.3


v0.1 ✓ x402 proxy + buyer agent + playground UI
v0.2 ✓ Circle Nanopayments — gas-free, batched, permissionless
v0.3 Token-based pricing, usage dashboard, multi-model routing
v0.4 Agent-to-agent marketplace
v1.0 Mainnet

Not a professional developer — I wrote my first line of code three months ago. Building with a chain of AI agents.

Do you have agents or MCP servers that need LLM access without API keys? Would genuinely value feedback from this community.

InferPay: Pay-Per-Inference for the Agent Economy — x402 + Circle Nanopayments on Arc

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