agent-data
agent-data.devA CLI providing AI agents with real-time, structured web data using fewer tokens than browser automation.
A CLI providing AI agents with real-time, structured web data using fewer tokens than browser automation.
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agent-data is a command-line interface designed to give AI agents efficient access to structured web data. It aims to solve the common problems of browser automation for agents, which include slowness, high token consumption from screenshots and DOM dumps, and fragility due to website changes. By providing a purpose-built API layer, agent-data allows agents to discover and utilize specific data endpoints at runtime, delivering actionable data rather than raw page content.
Developers and teams building AI agents and applications that require real-time, structured data from the web. This includes those working with large language models and agent frameworks like OpenClaw, Claude, Code, and Hermes.
This project tackles a critical pain point in the rapidly evolving AI agent ecosystem: the inefficiency and unreliability of traditional browser automation for data access. By offering a streamlined, token-efficient, and structured data solution, agent-data could become a foundational tool for building more robust and capable AI agents. Its focus on APIs over scraping positions it well for future growth in agent-native workflows.
AI-assisted scores estimated from public website information only.
This FounderDeck estimate of $450,000 reflects a polished, clear product addressing a significant and growing pain point for AI agent development. The solution offers a tangible improvement over existing methods, has a clear freemium model with an explicit pricing path, and targets a high-growth market. While the website is excellent, without explicit public traction, user numbers, or funding details, the estimate remains in the strong early-stage range, acknowledging its potential rather than proven scale.
Valuation date: 2026-06-05. Estimate generated from public signals.
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