Attention

Connect to Attention for AI insights, conversations, teams, and workflows

Supports authentication: API Key

Usage

Connect a user’s Attention account and make API calls on their behalf — Scalekit handles OAuth and token management automatically.

You can interact with Attention in two ways — via direct proxy API calls or via Scalekit optimized tool calls. Scroll down to see the list of available Scalekit tools.

Proxy API Calls

Node.js

import { ScalekitClient } from '@scalekit-sdk/node';
import 'dotenv/config';

const connectionName = 'attention'; // get your connection name from connection configurations
const identifier = 'user_123';  // your unique user identifier

// Get your credentials from app.scalekit.com → Developers → Settings → API Credentials
const scalekit = new ScalekitClient(
  process.env.SCALEKIT_ENV_URL,
  process.env.SCALEKIT_CLIENT_ID,
  process.env.SCALEKIT_CLIENT_SECRET
);
const actions = scalekit.actions;

// Authenticate the user
const { link } = await actions.getAuthorizationLink({
  connectionName,
  identifier,
});
console.log('🔗 Authorize Attention:', link);
process.stdout.write('Press Enter after authorizing...');
await new Promise(r => process.stdin.once('data', r));

// Make a request via Scalekit proxy
const result = await actions.request({
  connectionName,
  identifier,
  path: '/v1/users/me',
  method: 'GET',
});
console.log(result);

Python

import scalekit.client, os
from dotenv import load_dotenv
load_dotenv()

connection_name = "attention"  # get your connection name from connection configurations
identifier = "user_123"     # your unique user identifier

# Get your credentials from app.scalekit.com → Developers → Settings → API Credentials
scalekit_client = scalekit.client.ScalekitClient(
    client_id=os.getenv("SCALEKIT_CLIENT_ID"),
    client_secret=os.getenv("SCALEKIT_CLIENT_SECRET"),
    env_url=os.getenv("SCALEKIT_ENV_URL"),
)
actions = scalekit_client.actions

# Authenticate the user
link_response = actions.get_authorization_link(
    connection_name=connection_name,
    identifier=identifier
)
# present this link to your user for authorization, or click it yourself for testing
print("🔗 Authorize Attention:", link_response.link)
input("Press Enter after authorizing...")

# Make a request via Scalekit proxy
result = actions.request(
    connection_name=connection_name,
    identifier=identifier,
    path="/v1/users/me",
    method="GET"
)
print(result)

Scalekit Tools