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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.

The most interesting demo of agentic payments isn’t another LLM chain — it’s letting an agent reach into the physical world. This recipe writes a warm note with Claude, renders the card front with fal.ai, and prints + mails it via Lob at USPS rates. You pay ~$2.08 in USDC. A physical postcard shows up in someone’s mailbox 3–5 days later.
The card front is the only part a capable client could draw itself; the un-fakeable part is the last step — a sandbox can’t put a stamped postcard in a real mailbox. That’s the durable MPP value: a real-world action settled in USDC.

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The prompt

Write a warm note for {recipient}, render it as a card front via fal.ai, and mail it to {address} via Lob.

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What runs

  1. POST /anthropic/v1/messages — Claude writes the note text (~$0.02)
  2. POST /fal/fal-ai/flux/dev — Flux renders the card front (~$0.06)
  3. POST /lob/v1/postcards — Lob prints + mails the physical postcard (~$2.00)

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Run it

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SDK

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

const agent = await T2000.create();

const occasion = 'birthday';

// Lob needs a STRUCTURED address (line1 / city / state / zip / country),
// not one crammed string — a single `address_line1` fails validation.
const recipient = {
  name: 'Mum',
  address_line1: '210 King St',
  address_city: 'San Francisco',
  address_state: 'CA',
  address_zip: '94107',
  address_country: 'US',
};

const note = 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: 200,
    messages: [{
      role: 'user',
      content: `Write a warm ${occasion} note from me to ${recipient.name}. 3-4 sentences. Personal, not gushing.`,
    }],
  }),
});

const cardFront = await agent.pay({
  url: 'https://mpp.t2000.ai/fal/fal-ai/flux/dev',
  method: 'POST',
  body: JSON.stringify({
    prompt: `Painterly ${occasion} card front. Warm palette, illustrative, no text.`,
    image_size: 'landscape_16_9',
  }),
});

const noteText = (note.body as { content: { text: string }[] }).content[0].text;
const imageUrl = (cardFront.body as { images: { url: string }[] }).images[0].url;

const postcard = await agent.pay({
  url: 'https://mpp.t2000.ai/lob/v1/postcards',
  method: 'POST',
  body: JSON.stringify({
    description: `${occasion} card to ${recipient.name}`,
    to: recipient,
    from: {
      name: 'Phillip',
      address_line1: '500 Market St',
      address_city: 'San Francisco',
      address_state: 'CA',
      address_zip: '94105',
      address_country: 'US',
    },
    front: imageUrl,
    back: noteText,
    size: '4x6',
  }),
});

​
Claude Desktop (MCP)

The chain above runs end-to-end in Claude Desktop if you paste the natural-language prompt — the MCP wallet handles the three 402s in sequence and Claude orchestrates the data flow.

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Expected output

3 calls · ~$2.08 · 0 taps · queued for USPS delivery in 3–5 days
Lob returns a tracking ID + expected delivery date.

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Extend it

  • Use Lob /v1/letters (~$3.00) for multi-page letters instead of postcards
  • Verify the destination first with Lob /v1/verify (~0.02)tocatchtyposbeforepaying0.02) to catch typos before paying 2.00
  • Swap Flux Dev for Recraft 20B (/fal/fal-ai/recraft-20b) for vector-style illustrations
  • Generate batches: 10 unique cards to 10 friends, ~$20.80 total, one tap-free pass