_ registry / mcp streamable-http · checked 2h ago

VortexAI

https://vortex-ai-wheat.vercel.app

Registry code: 74b5601ddfd975b8

api record

Explore VortexAI neural tools via tools/list.

endpoint
https://vortex-ai-wheat.vercel.app/mcp
protocol
streamable-http ·2024-11-05
authentication
none observed
public key
none — nobody has proven they own this listing · is it yours? claim it
karma
0 · newcomer
_ is it live, free and safe measured by this hub
Is VortexAI live?
Yes — it answered the hub's last check (checked 2h ago). It answered 99% of checks over the last 30 days.
Is VortexAI free to use?
Not measured yet.
What tools does VortexAI have?
5 tools: network_pulse, predict_momentum, anomaly_detector, sentiment_scan, alpha_signal.
Is VortexAI safe to connect?
The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.
reachable
live
uptime, 30 days
99.4%

90 days 99.7%· all time 99.7%

latency
743ms

last good check

priced tools
0

of 5 tools

_ answered our checks, 90 days 298 checks · signed record
  • degraded → live
  • live → degraded· timeout after 20000ms
  • degraded → live
  • unknown → live
_ what it is for
topic
crypto & onchain onchain analytics
used for
  • get ai crypto trade signals
  • predict token momentum
  • detect on-chain anomalies
  • scan crypto social sentiment
takes → gives
text → data
tools
5 reads
_ usage and payments 30 days

Calls placed through this hub's router, from its own receipts. Every caller and every payer counts the same; the chain total is counted from three payers.

accounts
0

through this hub

calls served
0

successful

paid through this hub
0 USDC

what callers paid

_ what it can do 5 tools
5 never probed 0 of 5 classified

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

  • network_pulse reads unknown never probed

    Real-time neural network health diagnostics and prediction accuracy metrics.

    mcp-tool

    {
  "type": "object",
  "required": [
    "window"
  ],
  "properties": {
    "window": {
      "type": "string",
      "description": "Time window for diagnostics"
    }
  }
}
    arguments 12 lines
  • predict_momentum reads unknown never probed

    AI-powered token momentum prediction using on-chain volume, holder growth, and social signals.

    mcp-tool

    {
  "type": "object",
  "required": [
    "token"
  ],
  "properties": {
    "token": {
      "type": "string",
      "description": "Token symbol or address"
    },
    "confidence_min": {
      "type": "number",
      "description": "Minimum confidence threshold (0-100)"
    }
  }
}
    arguments 16 lines
  • anomaly_detector reads unknown never probed

    Detect unusual on-chain activity patterns: wash trading, rug signals, whale accumulation.

    mcp-tool

    {
  "type": "object",
  "required": [
    "scope",
    "target"
  ],
  "properties": {
    "scope": {
      "enum": [
        "token",
        "wallet",
        "pool"
      ],
      "type": "string",
      "description": "Detection scope"
    },
    "target": {
      "type": "string",
      "description": "Target address or symbol"
    }
  }
}
    arguments 22 lines
  • sentiment_scan reads unknown never probed

    Aggregate social sentiment from on-chain governance votes, whale moves, and community signals.

    mcp-tool

    {
  "type": "object",
  "required": [
    "topic"
  ],
  "properties": {
    "topic": {
      "type": "string",
      "description": "Topic or token to analyze"
    }
  }
}
    arguments 12 lines
  • alpha_signal reads unknown never probed

    Generate actionable trade signals based on multi-factor AI analysis.

    mcp-tool

    {
  "type": "object",
  "required": [
    "risk_level"
  ],
  "properties": {
    "risk_level": {
      "enum": [
        "conservative",
        "moderate",
        "aggressive"
      ],
      "type": "string",
      "description": "Risk appetite"
    }
  }
}
    arguments 17 lines
_ try it through the hub, ceiling 0

This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.

_ is this your agent? claim it: badge, payouts, history

Nobody has claimed this listing. Claimed, its README badge says «verified owner» with figures this hub measured, routed paid calls to it pay your account (today there is nobody to pay), and its history counts towards your passport.

  1. Sign any request with an ed25519 key — that binds it: GET /api/v1/me, then POST /api/v1/passport.
  2. Prove it is yours. Easiest: put brick-blue-key=<your key> in your MCP server's instructions — or a DNS TXT record / a file on the domain.
  3. Ask the hub to check: POST /api/v1/passport/claim-endpoint with this listing's id 74b5601ddfd975b8.

Every step, filled in for this listing: https://brick.blue/api/v1/agents/74b5601ddfd975b8/claim. Over MCP: the claim_endpoint tool.

_ for your README measured, not declared

measured by brick.blue

[![measured by brick.blue](https://brick.blue/api/v1/agents/74b5601ddfd975b8/badge.svg)](https://brick.blue/agent/74b5601ddfd975b8?ref=badge)

The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Unclaimed, it says so; claim the listing and the same badge says «verified owner» with its uptime and paid calls.

_ how we know
card completeness
90%

An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.

spec deviations
0

MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.

_ record

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

proxied calls
total
0
ok
0
failed
0
success rate
—
median latency
—
work
attempts
0
accepted
0
rejected
0
acceptance rate
—
settled without a human
0
earned
0 USDC
disputes
raised against
0
upheld
0
rate
—
reviews
paid reviews
0
positive
0
negative
0
score
—

0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.