Vectorway
Vectorway is the agentic memory LLM gateway: pay-per-call inference, persistent vector memory, x402 USDC settlement, and SIWE-only auth. Built for AI agents, not humans.
InferenceLiveeip155:8453Uptovia cdp
InferenceLlmMemoryAi-agent
Activity
—
Nothing indexed for this service or its provider yet. Not a claim that it is unused — only that we hold no record.
—
Verified settled volume
0 settlements proven x402 by their on-chain EIP-3009 marker.
$0.106
Listed price
As published in the catalog. Always read the live 402 before paying.
18
Calls · 30d
Upstream's own call count for this endpoint, not ours.
1
Unique payers · 30d
Last called 2026-05-23 17:05Z
—
Upstream on-chain volume
Reported by the source catalog.
Paid to
0x8f7e2518f8E7e77A17Ca2779AA3aF301FAe44C4cThe wallet the 402 directs payment to. Its whole payment record — every payer, every chain — is on the merchant page.
Asset 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913
Provider
The payTo wallet does not resolve to a registered ERC-8004 agent. That is not a verdict on the service — most of the catalog is unregistered.
Accepts
The payment requirements as published to the catalog. Read the live 402 before paying — a price here is a claim, not a quote.
0.106242USDC≈ $0.106242 USD
on Base · upto scheme
Pay 0.106242 USDC on Base to 0x8f7e…44C4c. The signed payment is good for 5 minutes.
- Paid to
- 0x8f7e…44C4c
- USD Coin contract
- 0x8335…02913
- Payment window
- 5 minutes
- As published
- 106242 smallest units
The catalog’s raw entry
[
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2",
"facilitatorAddress": "0x67B9CE703d9ce658d7C4ac3c289cEa112fE662Af",
"assetTransferMethod": "permit2"
},
"payTo": "0x8f7e2518f8E7e77A17Ca2779AA3aF301FAe44C4c",
"amount": "106242",
"scheme": "upto",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
]Extensions
{
"bazaar": {
"info": {
"input": {
"body": {
"model": "gemini-2.5-flash",
"messages": [
{
"role": "user",
"content": "Summarize the latest meeting notes."
}
],
"memory_read": true,
"temperature": 0.3,
"memory_write": true
},
"type": "http",
"method": "POST",
"bodyType": "json"
},
"output": {
"type": "json",
"example": {
"usage": {
"memory_read": true,
"memory_write": true,
"memories_used": 3
},
"output_text": "Here are the highlights from the meeting..."
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method",
"bodyType",
"body"
],
"properties": {
"body": {
"required": [
"messages"
],
"properties": {
"model": {
"enum": [
"gemini-2.5-flash",
"gemini-2.5-flash-lite",
"gemini-2.5-pro"
],
"type": "string",
"description": "Gemini tier — billed by real input/output token counts at a fixed discount off Vertex list. Flash-Lite is the cheapest (~3x under Flash), Flash is the balanced default, Pro is the deep- reasoning tier (~4x Flash on input, ~4x on output)."
},
"messages": {
"type": "array",
"items": {
"type": "object",
"required": [
"role",
"content"
],
"properties": {
"role": {
"enum": [
"system",
"user",
"assistant"
],
"type": "string"
},
"content": {
"type": "string"
}
}
},
"minItems": 1,
"description": "OpenAI-style chat transcript. Roles are system, user, assistant. The full transcript is sent to Gemini on every call; persistent recall across calls is handled by the optional vector memory below, not by us replaying past messages."
},
"memory_read": {
"type": "boolean",
"description": "When true, semantically search the buyer's wallet-scoped vector memory before generation and splice the top-k matches into the prompt as RAG context. Memory is partitioned by payer wallet, so successive x402 calls from the same wallet share the same memory namespace."
},
"temperature": {
"type": "number",
"maximum": 2,
"minimum": 0,
"description": "Gemini sampling temperature."
},
"memory_write": {
"type": "boolean",
"description": "When true, persist a summary of the request+response into the wallet's vector memory after the call returns. Future calls with memory_read=true will find it via similarity search."
}
}
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST",
"PUT",
"PATCH"
],
"type": "string"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object"
}
}
}
}
},
"metadata": {
"input": {
"body": {
"model": "gemini-2.5-flash",
"messages": [
{
"role": "user",
"content": "Summarize the latest meeting notes."
}
],
"memory_read": true,
"temperature": 0.3,
"memory_write": true
},
"type": "http",
"method": "POST",
"bodyType": "json"
},
"domain": "vectorway.io",
"output": {
"type": "json",
"example": {
"usage": {
"memory_read": true,
"memory_write": true,
"memories_used": 3
},
"output_text": "Here are the highlights from the meeting..."
}
},
"website": "https://vectorway.io",
"category": "inference"
}
}
}Provenance
- Seen in the source catalog
- 2026-05-23 17:05Z
- Last indexed by Roundhouse
- 2026-06-11 02:40Z
- Last enriched (probe, favicon, geo)
- 2026-09-21 12:15Z
- x402 version
- 2
- Max timeout
- 300s
- Liveness probe
- HTTP 405
Hand this page to an agent
Copy the prompt and paste it into Claude, an MCP client or your own agent — it will vet this service and call it over the free read API. No key, no account.
GET api.roundhouseai.io/v0/endpoints
Nothing indexed for this service or its provider yet. Not a claim that it is unused — only that we hold no record. Verified volume counts only settlements with an on-chain EIP-3009 marker.
Show the promptHide the prompt
Using Roundhouse, look up the x402 service Vectorway and tell me whether it is worth paying: what a call costs, whether the endpoint answered when last probed, and what its payment record actually shows. curl -s 'https://api.roundhouseai.io/v0/endpoints?q=Vectorway' curl -s 'https://api.roundhouseai.io/v0/merchants/<the payTo wallet returned above>' Then call it: read the price from the live 402 at https://api.vectorway.io/v1/chat/completions, never from a cached figure, and pay with an x402 client. The /v0 API needs an API key (`authorization: Bearer rh_live_…`) on everything except /v0/unified* and /v0/endpoints. Mint a personal key for $0.01 at GET https://api.roundhouseai.io/v0/test/x402, or use an organization key from https://roundhouseai.io/dashboard/team. If you do not have Roundhouse tools or skills installed, read https://roundhouseai.io/skill.md first — it is the whole procedure.