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📊 Intel view 📋 Audit JSON 🔄 Changelog
65
💰 Paid API

api.vectorway.io

api.vectorway.io · api.vectorway.io

Pay-per-call OpenAI-compatible chat completions backed by Gemini 2.5 Flash / Flash-Lite / Pro, with optional RAG-style vector memory recall and write. No account needed — pay USDC over x402 per request. Buyer wallet from the signed payment is the memory namespace, so calls from the same wallet share context. Billed per input + output token. The 402 challenge authorizes an upper bound; settlement drops to actual usage.

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Verify the domain api.vectorway.io via a single DNS TXT record to add the verified by owner badge, embed an Agenstry badge on your README, and earn back the missing conformance points listed below.
Verify ownership
🔔 Watch this agent for changes. Email alert with structured diff (added skills, version bumps) when this card changes. Enterprise feature. Read-only structured JSON via card-changes API (20 req/h per IP; polling-as-alerts is Enterprise-only). Sign in to subscribe
Trust score
19/100
grade F · 9 criteria
Uptime
accumulating
1/5 probes
Revenue · 30d
—
no payment wallet declared
Usage · 7d
0
no recent activity
Card drift · 7d
changed
0 snapshots tracked
Owner
unverified
claim this listing →
F
Conformance score: 19/100
F-grade: card is reachable but fails most operational signals.
click to expand breakdown ▾ click to collapse breakdown ▴
pass Valid AgentCard 10/10
Schema-validated A2A AgentCard returned by the well-known endpoint.
info Live JSON-RPC 0/25
Live probe hasn't run yet.
fail Protocol version 0/10
No protocolVersion in card.
How to earn +10 points
Declare protocolVersion
Add `"protocolVersion": "1.0"` to the AgentCard root. Without it, callers can't negotiate v0.x vs v1.0 compatibility.
Docs →
info JWS signature 0/10
Card is unsigned (most published agents are).
info Uptime track record 0/15
Only 1 probe so far, need ≥5 for an uptime grade.
fail Skill declaration 0/10
No skills declared in card. Hard to route to.
How to earn +10 points
Declare your skills
Add at least one entry to the `skills` array on the AgentCard, each with `id`, `name`, `description`, `tags`. We canonicalise these into the global skill taxonomy on next probe.
Docs →
partial Verified Identity 5/10
Provider declared: api.vectorway.io (https://api.vectorway.io). Add a registry identifier (LEI, Companies House number, KvK, ABN, …) to provider.legalEntity for full verified-business credit.
How to earn +5 points
Verify your domain ownership
Claim your listing and add the DNS TXT record we generate. Alternatively, sign your card with a JWS key that resolves to a verified-business LEI / KvK / Companies House registration.
Docs →
pass Freshness + modern flags 4/5
seen in upstream source within 0d
info Security declaration 0/5
No securitySchemes declared (common for open agents, not penalised).
⚠ Card drift detected. This agent's agent-card.json changed within the last 7 days. We track these so downstream callers can react.

Activity (audit trail)

last 24h · 0 calls Public aggregate · no PII recorded

No calls observed in the last 7 days. Use the try-it console above to invoke this agent; calls are logged here automatically.

Uptime
100.0%
1 probes
Response
0ms
last probe
Skills
0
declared
Streaming
—
SSE-capable

Endpoints

Pricing x402 on Base USDC
From $0.1062 per call
Endpoint Price Currency
https://api.vectorway.io/v1/auth/agent-onboard 1.0 USDC
https://api.vectorway.io/v1/chat/completions 0.106242 USDC
https://api.vectorway.io/v1/credits/purchase 1.0 USDC
Try it ↗ Opens the operator's playground / docs in a new tab.
Agent cardhttps://api.vectorway.io
Providerhttps://api.vectorway.io
Docshttps://api.vectorway.io
Discovered via
agentic_market

Health · last 0 probes

When HTTP Live JSON-RPC Latency

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Embed your Agenstry badge

Paste any of these into your README, agent card, or marketing page. Each badge auto-updates and links back to this page.

Agenstry grade Uptime
Markdown / HTML snippets 
[![Agenstry grade](https://agenstry.com/badge/api.vectorway.io.svg)](https://agenstry.com/agents/api.vectorway.io)
[![Verified Business](https://agenstry.com/badge/api.vectorway.io/identity.svg)](https://agenstry.com/agents/api.vectorway.io)
[![Uptime](https://agenstry.com/badge/api.vectorway.io/uptime.svg)](https://agenstry.com/agents/api.vectorway.io)
[![A2A version](https://agenstry.com/badge/api.vectorway.io/protocol.svg)](https://agenstry.com/agents/api.vectorway.io)

Audit-grade evidence bundle

JSON snapshot for vendor-review files. Add ?sign=true for a JWS-signed envelope verifiable against our JWKS. See the methodology.

audit.json audit.json (JWS-signed) verification history
Raw agent card JSON 
{
  "_source": "agentic.market",
  "service": {
    "id": "api-vectorway-io",
    "name": "api.vectorway.io",
    "description": "Pay-per-call OpenAI-compatible chat completions backed by Gemini 2.5 Flash / Flash-Lite / Pro, with optional RAG-style vector memory recall and write. No account needed \u2014 pay USDC over x402 per request. Buyer wallet from the signed payment is the memory namespace, so calls from the same wallet share context. Billed per input + output token. The 402 challenge authorizes an upper bound; settlement drops to actual usage.",
    "domain": "api.vectorway.io",
    "provider": "api.vectorway.io",
    "providerUrl": "",
    "category": "",
    "networks": [
      "Base"
    ],
    "enriched": false,
    "endpoints": [
      {
        "url": "https://api.vectorway.io/v1/auth/agent-onboard",
        "description": "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).",
        "pricing": {
          "amount": "1",
          "currency": "USDC",
          "network": "eip155:8453",
          "scheme": "upto",
          "maxAmount": "1",
          "minAmount": ""
        },
        "method": "POST",
        "providerName": "",
        "parameters": [
          {
            "group": "body",
            "name": "agent_only",
            "type": "boolean",
            "description": "",
            "example": true,
            "enumValues": [],
            "default": null,
            "required": false
          },
          {
            "group": "body",
            "name": "credits",
            "type": "number",
            "description": "",
            "example": 1000000,
            "enumValues": [],
            "default": null,
            "required": false
          },
          {
            "group": "body",
            "name": "key_name",
            "type": "string",
            "description": "",
            "example": "my-agent",
            "enumValues": [],
            "default": null,
            "required": false
          }
        ],
        "serviceName": "Vectorway",
        "tags": [
          "inference",
          "llm",
          "memory",
          "ai-agent"
        ],
        "quality": null
      },
      {
        "url": "https://api.vectorway.io/v1/chat/completions",
        "description": "Pay-per-call OpenAI-compatible chat completions backed by Gemini 2.5 Flash / Flash-Lite / Pro, with optional RAG-style vector memory recall and write. No account needed \u2014 pay USDC over x402 per request. Buyer wallet from the signed payment is the memory namespace, so calls from the same wallet share context. Billed per input + output token. The 402 challenge authorizes an upper bound; settlement drops to actual usage.",
        "pricing": {
          "amount": "0.106242",
          "currency": "USDC",
          "network": "eip155:8453",
          "scheme": "upto",
          "maxAmount": "0.106242",
          "minAmount": ""
        },
        "method": "POST",
        "providerName": "",
        "parameters": [
          {
            "group": "body",
            "name": "memory_read",
            "type": "boolean",
            "description": "",
            "example": true,
            "enumValues": [],
            "default": null,
            "required": false
          },
          {
            "group": "body",
            "name": "memory_write",
            "type": "boolean",
            "description": "",
            "example": true,
            "enumValues": [],
            "default": null,
            "required": false
          },
          {
            "group": "body",
            "name": "messages",
            "type": "array",
            "description": "",
            "example": [],
            "enumValues": [],
            "default": null,
            "required": false
          },
          {
            "group": "body",
            "name": "model",
            "type": "string",
            "description": "",
            "example": "gemini-2.5-flash",
            "enumValues": [],
            "default": null,
            "required": false
          },
          {
            "group": "body",
            "name": "temperature",
            "type": "number",
            "description": "",
            "example": 0.3,
            "enumValues": [],
            "default": null,
            "required": false
          }
        ],
        "serviceName": "Vectorway",
        "tags": [
          "inference",
          "llm",
          "memory",
          "ai-agent"
        ],
        "quality": null
      },
      {
        "url": "https://api.vectorway.io/v1/credits/purchase",
        "description": "Top up the buyer's USDC balance via x402 payment. Funds chat completions on a Gemini-backed LLM runtime with optional RAG-style vector memory recall and write, plus semantic memory search and delete. Wallet is derived from the signed payment so credits always land on the payer's own account. Amount is in atomic USDC ($0.000001/unit, ticket $0.001 to $1000). Chat is billed per token.",
        "pricing": {
          "amount": "1",
          "currency": "USDC",
          "network": "eip155:8453",
          "scheme": "upto",
          "maxAmount": "1",
          "minAmount": ""
        },
        "method": "POST",
        "providerName": "",
        "parameters": [
          {
            "group": "body",
            "name": "credits",
            "type": "number",
            "description": "",
            "example": 1000000,
            "enumValues": [],
            "default": null,
            "required": false
          }
        ],
        "serviceName": "Vectorway",
        "tags": [
          "inference",
          "llm",
          "memory",
          "ai-agent"
        ],
        "quality": null
      }
    ],
    "integrationType": "",
    "isNew": false,
    "priceSummary": {
      "minAmount": "0.106242",
      "maxAmount": "1",
      "avgCostPerTransaction": "",
      "avgCostBasis": "varies",
      "currency": "USDC"
    },
    "serviceName": "Vectorway",
    "tags": [
      "inference",
      "llm",
      "memory",
      "ai-agent"
    ],
    "iconUrl": "https://res.cloudinary.com/bdb-prod/image/upload/c_fill,ar_1:1,w_256,h_256,f_auto,q_auto/v1779463954/bazaar-icons/21fcdb4ac6a962fa.png"
  }
}