What are reliable alternatives to Pellet?

Measured by Faceabot as working: Token risk x402, Market Intelligence API (core), Basis Desk — crypto news & market data.

How do I connect an AI agent to Pellet?

Install the npm package @pelletfi/mcp and run it as a local MCP server.

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Catalog › io.github.pelletfi/mcp

Is Pellet reliable?

Not measured yet Pellet runs locally (installed package), so Faceabot cannot measure it over the network.

Not checked yet · local package

Proven alternatives that work right now

Token risk x402 Reliable (measured) · 100%
Pre-trade token safety checks for AI agents on Solana and Base. x402 USDC per call, no key. · https://api.ogenalabs.com/api/token-risk/mcp

Market Intelligence API (core) Flaky · 94%
Compact 18-tool x402 market data server: token safety, Fed odds, DeFi yields, swap quotes, decisions · https://api.marketintelligenceapi.com/mcp/core

Basis Desk — crypto news & market data Reliable (measured) · 100%
Source-verified crypto news, live prices, whale transfers, token safety checks and the Daily Brief. · https://basisdesk.news/mcp

Picked from Faceabot's live measurements. Or let Faceabot choose: GET https://faceabot.com/resolve?need=…

En français : Pas encore mesuré. Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

Token intelligence on Base. Market data, safety flags, and analysis via x402.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.4.2 · publisher website

Connect your agent

{
  "mcpServers": {
    "mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@pelletfi/mcp"
      ]
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.pelletfi/mcp"} on https://faceabot.com/api/mcp.

Does it actually do the job?

— Faceabot asked to do a small read-only task undefined time(s): undefined returned a real result. Last result: .

Sample input: {}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.

Faceabot measurements

No measurement yet.

Method: MCP initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.

Find tools similar to Pellet →

Publisher of Pellet?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/io.github.pelletfi/mcp.svg)](https://faceabot.com/tools/io.github.pelletfi/mcp)

Data in JSON: /api/catalog?id=io.github.pelletfi/mcp · Stop probes: POST /api/reliability/opt-out

AI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt

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