Developer-friendly code & integrations

import Anthropic from '@anthropic-ai/sdk';
const client = new Anthropic();

// 1. Describe PreCheck as a tool Claude can call
const tools = [{
  name: 'precheck_face_search',
  description:
    'Search for a face across the web with PreCheck. Call this ' +
    'when the user gives a photo URL of a person and wants to find ' +
    'where that face appears online or verify an identity.',
  input_schema: {
    type: 'object',
    properties: {
      imageUrl:   { type: 'string',  description: 'Public image URL.' },
      return_url: { type: 'boolean', description: 'Return only the result URL.' }
    },
    required: ['imageUrl']
  }
}];

// 2. Run the search when Claude asks for it
async function precheckFaceSearch(input) {
  const res = await fetch(
    'https://sys.precheck.ai/api/search?api_key=' + process.env.PRECHECK_API_KEY,
    { method: 'POST',
      headers: { 'Content-Type': 'application/json' },
      body: JSON.stringify(input) });
  return res.json();
}

const msg = await client.messages.create({
  model: 'claude-opus-5',
  max_tokens: 1024,
  tools,
  messages: [{ role: 'user',
    content: 'Find where this face appears: https://example.com/face.jpg' }]
});
// When msg.stop_reason === 'tool_use', call precheckFaceSearch() with the
// tool input, then send the result back as a { type: 'tool_result' } block.

import OpenAI from 'openai';
const openai = new OpenAI();

// Same PreCheck endpoint, described as an OpenAI function
const tools = [{
  type: 'function',
  function: {
    name: 'precheck_face_search',
    description:
      'Search for a face across the web with PreCheck. Use when the ' +
      'user provides a photo URL and wants to find where it appears online.',
    parameters: {
      type: 'object',
      properties: {
        imageUrl:   { type: 'string',  description: 'Public image URL.' },
        return_url: { type: 'boolean', description: 'Return only the result URL.' }
      },
      required: ['imageUrl']
    }
  }
}];

const res = await openai.chat.completions.create({
  model: 'gpt-4o', // or any function-calling model
  messages: [{ role: 'user',
    content: 'Find where this face appears: https://example.com/face.jpg' }],
  tools
});
// When res.choices[0].message.tool_calls is set, POST the arguments to
// https://sys.precheck.ai/api/search?api_key=YOUR_API_KEY and return the
// JSON to the model as a { role: 'tool' } message.