Product

Introducing Zipf AI: Your Web Data, Tailored

Daniel Campos
Daniel Campos
Founder & CEO
·2 min read
launchproductweb-dataAPI
Introducing Zipf AI: Your Web Data, Tailored

Today we're excited to announce the public launch of Zipf AI—a new kind of web data infrastructure designed for the AI age.

The Problem

Building AI applications that need real-world data is harder than it should be. You need to:

  • Search the web and get relevant results
  • Crawl pages and extract structured data
  • Monitor for changes over time
  • All while managing rate limits, proxies, and parsing edge cases

We've spent the last year building the infrastructure to make this simple.

What is Zipf AI?

Zipf AI is a unified API for web data. With a single integration, you get:

Search API

Find anything on the web with AI-enhanced search. Query interpretation, semantic reranking, and intelligent suggestions help you find exactly what you're looking for.

import requests

response = requests.post("https://www.zipf.ai/api/v1/search",
    headers={"Authorization": "Bearer YOUR_TOKEN"},
    json={
        "query": "AI infrastructure startups 2025",
        "max_results": 20,
        "interpret_query": True,
        "rerank_results": True
    }
)

Crawl API

Extract structured data from any website. Define your schema, and we handle the rest—JavaScript rendering, proxy rotation, and intelligent extraction.

response = requests.post("https://www.zipf.ai/api/v1/crawls",
    headers={"Authorization": "Bearer YOUR_TOKEN"},
    json={
        "urls": ["https://example.com/products"],
        "max_pages": 50,
        "extraction_schema": {
            "product_name": "Extract the product name",
            "price": "Extract the price as a number",
            "availability": "Is the product in stock?"
        }
    }
)

Sessions API

Chain operations together into multi-step research workflows with automatic URL deduplication and context accumulation.

Workflow API

Set up recurring monitors that watch for changes—product launches, price drops, news mentions—and get notified when conditions are met.

Why "Zipf"?

The name comes from Zipf's Law, which describes how a small number of items often account for a large proportion of a phenomenon. The most common word in English appears twice as often as the second most common, three times as often as the third, and so on.

The same principle applies to web data: a small slice of the web contains most of the information relevant to any given task. Our job is to find that slice for you.

Getting Started

Sign up at zipf.ai and get 100 free credits to try the API. Check out our documentation for detailed guides and examples.

We can't wait to see what you build.


Questions? Reach out to support@zipf.ai or join our Discord community.

Share this article

Daniel Campos

Daniel Campos

Founder & CEO

Building the future of web data infrastructure for AI agents. Previously at Google, Microsoft, and multiple AI startups.

Skip to main content
Introducing Zipf AI: Your Web Data, Tailored | Zipf AI