Introduction
Autobound's API enables developers to instantly generate hyper-personalized sales content by leveraging our database of 250M+ contacts and 50M+ companies, using advanced AI to surface the most relevant insights and transform them into engaging messages that drive responses.
Building an engine that reliably surfaces high-quality, deep, and relevant insights is a significant challenge in B2B sales. Since 2016, Autobound has been pioneering solutions to this challenge, built by founders with deep expertise from Oracle, Yelp, and Amazon.
Our platform processes and analyzes data from over 250 million professional contacts and 50 million companies, making it one of the most comprehensive B2B intelligence solutions available today. With 200+ five-star reviews, we're trusted by leading enterprises to power their sales engagement strategies.
How Our Insight Engine Works
Autobound turns raw data into 350+ types of actionable insights through three key steps:
Data Aggregation & Analysis
- SEC filings & earnings transcripts
- Social media activity & LinkedIn posts
- Podcast & YouTube appearances
- News mentions & press releases
- Technology stack data
- Job postings & hiring trends
- Company relationships (customers, competitors, partners)
- and much more...
Insight Ranking
Our engine evaluates each insight based on:
- Relevance to your offering
- Likelihood to generate engagement
- Recency and accuracy
- Role and industry context
- Historical performance data
Automated Content Generation
Transform insights into personalized messages across:
- Sales emails & sequences
- Call scripts
- LinkedIn messages
- Account plans
- Custom content types
Getting Started
- Get Your API Key
- Visit www.autobound.ai/sign-up-free
- Create an account
- Go to Settings → API Keys → Create New
Make Your First Request
import requests
url = 'https://api.autobound.ai/api/external/generate-content/[UPDATE-VERSION]'
headers = {
'X-API-KEY': 'YOUR-API-KEY-HERE',
'Content-Type': 'application/json'
}
data = {
"contactEmail": "[[email protected]](mailto:[email protected])",
"userEmail": "[[email protected]](mailto:[email protected])",
"contentType": "email"
}
response = requests.post(url, headers=headers, json=data)
print(response.text)
Need Support?
Email us: [email protected]
Updated 23 days ago