zapi — Agent Tool by adoptai

by adoptai · Agent Tool · ★ 466

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About zapi

ZAPI - Zero-Shot API Discovery ZAPI by Adopt AI is an open-source Python library that automatically captures network traffic and API calls from web applications. Use it for API discovery, LLM training datasets, advanced API security analysis, and debugging complex browser workflows. Highlights Automated Playwright-powered browser sessions that inject auth tokens, capture traffic, export HAR logs, and upload them securely. Built-in HAR filtering that excludes static assets, surfaces API-only entries, and provides upfront cost/time estimates before processing. LangChain integration that conve

Quick Facts

Stars466
Forks23
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score73.1363652763764/100
Open Issues3
Last Updated2026-01-08
Created2025-10-27
Platformsbrowser, python
Est. Tokens~11k

zapi alternative? Top 6 similar tools

Looking for a zapi alternative? If you're comparing zapi with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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Frequently Asked Questions

What is zapi?

zapi is ZAPI by Adopt AI is an open-source Python library that helps you build tools for AI Agents by automatically capturing network traffic and API calls from web applications.. It is categorized as a Agent Tool with 466 GitHub stars.

What programming language is zapi written in?

zapi is primarily written in Python.

How do I install or use zapi?

You can find installation instructions and usage details in the zapi GitHub repository at github.com/adoptai/zapi. The project has 466 stars and 23 forks, indicating an active community.

What license does zapi use?

zapi is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to zapi?

The top alternatives to zapi on Agent Skills Hub include skills, awesome-android-agent-skills, claude-code-skill-factory. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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