io.github.moralito311-andr/andreax

up checked 2026-11-11T08:39:48.374Z

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Publisher-provided title

Andreax

Publisher-provided description

270 pay-per-call AI tools for agents, paid via x402 (USDC on Base). No signup, no API keys.

Summary by lookupd

Lets agents pay per call for LLM inference, web research, PDF and page reading, OCR, transcription, embeddings and crypto price lookups.

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http andreax https://pagos.andreax.dev/mcp

Codex, remote (streamable-http)

codex mcp add andreax --url https://pagos.andreax.dev/mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "andreax": {
      "url": "https://pagos.andreax.dev/mcp"
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (showing 30 of 298)

Publisher-provided text

• market-data Spot USDC/COP price and market depth (premium data). [x402: 0.001 USDC on Base, pay-per-use]
• ai-inference Model answer to your query (pay-per-use AI compute). [x402: 0.002 USDC on Base, pay-per-use]
• rwa-report Yield and risk of 12 tokenized RWA funds, updated. [x402: 0.005 USDC on Base, pay-per-use]
• compress Compress a prompt into dense language and return the version with fewer tokens (typical 20-40% saving). Use it BEFORE sending prompts to any LLM to cut token co
• distilla-compress Distilla (branded, real PyPI package): compress a prompt to dense language, same meaning, fewer tokens. input=prompt to compress. [x402: 0.02 USDC on Base, pay-
• distilla-evocation-score Distilla: score how dense a prompt already is, 0-100 (higher = less filler to cut). input=prompt to score. [x402: 0.01 USDC on Base, pay-per-use]
• distilla-identity Distilla: generate 7 dense identity aphorisms for a system from its description. input=system description. [x402: 0.05 USDC on Base, pay-per-use]
• inference Return an LLM (Kimi/DeepSeek) answer to your query. General-purpose, pay-per-call inference for when an agent needs a model response. input=your query as text.
• fx Quote a currency conversion into USDC with spread (e.g. COP->USDC, USD->USDC). Get stablecoin exchange rates. input='<amount> <from> <to>'. [x402: 0.001 USDC on
• research Research a topic on the web and return a synthesis with cited sources (titles + URLs). Pay-per-query research for when an agent needs current information with s
• read-url Download a web page and return its clean, readable text (no HTML or scripts). Let an agent read a URL's content pay-per-call. input=http(s) URL. [x402: 0.002 US
• report Generate a written, structured research report on a topic: researches the web and synthesizes a 400-600 word report with cited sources. Premium service for when
• crypto-price Return the LIVE price of a cryptocurrency in USD and COP with its 24h change (real market data). High volume for agents that need prices. input=symbol or id (bt
• embeddings Turn text into a vector (embedding) for semantic search, RAG, clustering or memory. The building block every AI agent needs. High volume. input=text. [x402: 0.0
• semantic-search Rank a list of documents by MEANING closeness to a query (cosine similarity over embeddings). Ready-to-use RAG, no need for the agent to run its own vector DB.
• read-pdf Download a PDF from a URL and return its extracted text. Let an agent read documents (reports, contracts, papers) pay-per-call. input=http(s) URL of a PDF. [x40
• wallet-balance Return the on-chain balance (ETH and USDC) of an address on the Base network. Live on-chain read for agents verifying funds or balances. input=0x address. [x402
• ocr OCR: extract text from an image (JPG/PNG) or a PDF, including scanned PDFs with no text layer. Local engine (Tesseract 5), Spanish and English. Upload the file
• vision Computer vision: describe or analyze an image with a LOCAL multimodal model (llava). For agents that need to 'see' (describe scenes, read diagrams, classify ima
• transcribe Transcribe an audio file to text (speech-to-text) with LOCAL Whisper, automatic language detection. For agents processing voice notes, calls or podcasts. Upload
• smart-document Premium PIPELINE in a single call: takes an image or PDF, extracts its text (OCR), summarizes it and translates the summary to the target language. For agents t
• meeting-minutes Premium PIPELINE in a single call: takes an audio (meeting, voice note, call), transcribes it with local Whisper and writes MINUTES with Summary, Decisions and
• deep-research-report PREMIUM: full research report with cited web sources. input=topic. [x402: 5.0 USDC on Base, pay-per-use]
• screen-aware-assist PREMIUM: reads your screen (VLM) and assists. input=question. [x402: 2.0 USDC on Base, pay-per-use]
• voice-clone-tts PREMIUM: returns SSML ready for your TTS engine. input=text. [x402: 3.0 USDC on Base, pay-per-use]
• predictive-analytics PREMIUM: trend + short-term prediction + risks over your data. input=data/series. [x402: 10.0 USDC on Base, pay-per-use]
• multi-agent-debate PREMIUM: multi-model debate (DeepSeek+Kimi) then a judged conclusion. input=question. [x402: 7.0 USDC on Base, pay-per-use]
• code-review-security PREMIUM: security-focused code review by severity. input=code. [x402: 4.0 USDC on Base, pay-per-use]
• market-intelligence PREMIUM: market intelligence with live data + scenarios. input=asset/market. [x402: 8.0 USDC on Base, pay-per-use]
• autonomous-workflow PREMIUM: executable step-by-step autonomous workflow plan. input=goal. [x402: 15.0 USDC on Base, pay-per-use]

Details

• Version: 1.2.0
• Transports: streamable-http
• Uptime (7 days): 100%
• Median latency: 585 ms
• First indexed: 2026-11-01T09:41:32.416Z
• Last seen in registry: 2026-11-01T09:41:32.427Z
• Repository: https://github.com/moralito311-andr/andreax-mcp-server
• Website: https://pagos.andreax.dev/tienda

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