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VectorWay Agent Onboard
x402
VectorWay Agent Onboard is a paid API for AI agents from api.vectorway.io, paid per call via x402, $1000/call, status unknown (last checked 2026-09-15).
Onboards an autonomous AI agent via a $1 USDC x402 payment, returning a chat completions API key, funded USDC balance, JWT session, and persistent vector memory namespace derived from the payer wallet.
Price / call$1000
Success—
StatusUnknown
How this service works
Onboard an autonomous AI agent in one x402 USDC payment: receive a chat completions API key, a USDC-funded balance, a JWT session, and persistent vector memory. Authenticates against a Gemini-backed LLM runtime with optional RAG-style memory recall + write per call, plus semantic memory search and delete. Wallet is derived from the signed payment; balance is atomic USDC ($0.000001/unit, max $1000).
Output
Returns a chat completions API key (OpenAI-compatible), a USDC-funded balance (in $0.000001 units, up to $1000), a JWT session token, and a persistent vector memory namespace derived from the signed payment wallet — enabling immediate authenticated calls to the Gemini LLM runtime with RAG-style memory.
Example use cases
Bootstrap agent with crypto wallet
“I need to spin up a new AI agent that can remember past conversations — use my wallet to pay the $1 USDC x402 fee through Vectorway and get me back an API key, JWT session, and a vector memory namespace so the agent can start chatting with Gemini and recall context across sessions.”
Fund agent runtime in one call
“Set up a fully funded, ready-to-run agent session for me on Vectorway — handle the USDC payment atomically, provision the OpenAI-compatible API key and balance, and make sure I have a persistent memory namespace tied to my wallet so I don't have to create any accounts or do any extra steps.”
Provision RAG-enabled LLM agent
“I want an autonomous agent that can do RAG-style memory recall without me having to manage any infrastructure — bootstrap it on Vectorway with a single x402 USDC payment, and return the API key, funded balance, JWT, and vector memory namespace so it can immediately start making context-aware Gemini completions.”
Technical details
Endpoint
POSThttps://api.vectorway.io/v1/auth/agent-onboardWhen to prefer
Choose this endpoint when an autonomous agent needs a complete, self-contained bootstrap in a single atomic x402 payment — getting API key, funded balance, JWT, and vector memory namespace in one call without any prior account registration. Ideal for walletless-to-ready agent provisioning workflows where the payer wallet doubles as the persistent memory namespace.
Side effects
- Payment insufficient or invalid x402 signature — 402 Payment Required
- Payment exceeds $1000 max balance cap — 400 Bad Request
- Wallet derivation fails due to malformed signed payment — 400 Bad Request
- Gemini backend unavailable — 503 Service Unavailable
- Duplicate onboard attempt with same wallet — may return existing session or conflict error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| credits | integer | Atomic USDC to pre-fund the agent account with (1_000_000 = $1.00). The balance is debited per chat call against a Gemini-backed LLM runtime with optional RAG-style vector memory recall + write. Calls are billed by real input/output tokens × Vertex list prices × the operator's discount multiplier. |
| key_name | string | Optional human-readable label for the returned API key. The key authenticates the agent against the chat completions and memory endpoints; the label is shown in the Vectorway dashboard alongside the key id. |
| agent_only | boolean | True (default) creates a headless agent-only account with no Privy email/social login, suitable for autonomous LLM agents. False allows the same wallet to later log into the dashboard via SIWE. |
Output
Schema · Response
{
"type": "json",
"example": {
"tokens": {
"expires_in": 900,
"token_type": "bearer",
"access_token": "<jwt>",
"refresh_token": "<jwt>"
},
"api_key": "vw_<id>_<secret>",
"created": true,
"credits": 1000000,
"agent_only": true,
"wallet_address": "0xC0FFEE0000000000000000000000000000000001",
"api_key_metadata": {
"key_id": "<id>",
"key_name": "my-agent",
"created_at": 1730000000,
"last_used_at": null
}
}
}Tags
x402
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