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Documentation Index

Fetch the complete documentation index at: https://developers.t2000.ai/llms.txt

Use this file to discover all available pages before exploring further.

Ask a real question and get back an answer you can trust, with sources. Exa surfaces the most relevant primary pages by meaning, Perplexity returns a web-grounded answer with live citations, and Claude (optionally) fuses them into a tight, cited brief. Self-contained — just a question. ~$0.06.

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The prompt

What are the leading approaches to stablecoin yield on Sui right now, and how
do they differ? Use Exa to find primary sources and Perplexity for a grounded
answer — cite everything.

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What runs

  1. POST /exa/v1/search — semantic search for the best primary sources (~$0.02)
  2. POST /perplexity/v1/chat/completions — web-grounded answer with citations (~$0.02)
  3. POST /anthropic/v1/messages — Claude fuses into a cited brief (optional) (~$0.02)

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Run it

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Claude Desktop (MCP)

npm install -g @t2000/cli && t2 init && t2 receive && t2 mcp install
Paste any question — the agent decides whether one source pass is enough or whether to fuse Exa + Perplexity for breadth.

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SDK

import { T2000 } from '@t2000/sdk';

const agent = await T2000.create();
const question = 'Leading approaches to stablecoin yield on Sui, and how they differ';

const [sources, grounded] = await Promise.all([
  agent.pay({
    url: 'https://mpp.t2000.ai/exa/v1/search',
    method: 'POST',
    body: JSON.stringify({ query: question, numResults: 5, contents: { text: true } }),
  }),
  agent.pay({
    url: 'https://mpp.t2000.ai/perplexity/v1/chat/completions',
    method: 'POST',
    body: JSON.stringify({
      model: 'sonar',
      messages: [{ role: 'user', content: `${question}. Answer with inline citations.` }],
    }),
  }),
]);

const brief = await agent.pay({
  url: 'https://mpp.t2000.ai/anthropic/v1/messages',
  method: 'POST',
  headers: { 'anthropic-version': '2023-06-01' },
  body: JSON.stringify({
    model: 'claude-sonnet-4-5',
    max_tokens: 700,
    messages: [{
      role: 'user',
      content:
        `Write a 250-word answer to: "${question}". Keep every claim tied to a source URL.\n\n` +
        `SEMANTIC SOURCES: ${JSON.stringify(sources.body)}\n\nGROUNDED ANSWER: ${JSON.stringify(grounded.body)}`,
    }],
  }),
});

console.log((brief.body as { content: { text: string }[] }).content[0].text);

​
Expected output

2–3 calls · ~$0.06 · ~7s · 0 taps
Cited brief + source URLs

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Extend it

  • Swap Exa for Firecrawl (/firecrawl/v1/scrape) to read a specific known source verbatim
  • Add Firecrawl map (/firecrawl/v1/map) to discover every page on a site before extracting
  • Have a second model (Gemini /gemini/v1beta/models/gemini-2.5-pro) review the brief for unsupported claims
  • Pipe the cited brief into the Write code, then run it recipe to turn data points into a verified chart or table