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Webhound

Deep research with source traces for agents and humans, pay-as-you-go.

Webhound provides deep research with verifiable source traces, usable by both AI agents and humans. It follows leads and checks sources until a budget is met, ensuring comprehensive answers. Outputs include cited reports, structured datasets, and machine-readable claims with evidence. It operates on a pay-as-you-go model with no subscriptions.

How to use Webhound?

Webhound can be integrated into AI agent workflows via its API or MCP client, allowing agents to conduct research autonomously. For manual use, a rich interactive UI is available. Users set a budget for research depth, and the tool provides detailed reports, datasets, or claim traces, all linked to their original sources.

Webhound 's Core Features

Autonomous research for AI agents

Interactive UI for human control

Pay-as-you-go pricing based on research budget

Outputs include cited reports, datasets, and claim traces

Every claim links to its source and tool call

No subscription required

Webhound 's Use Cases

Deep market analysis with sourced data

Competitive intelligence and pricing research

Building comprehensive datasets from web sources

Verifying information and claims with evidence

Agent-driven research for complex queries

Content creation support with factual backing

Webhound 's Pricing

Hound 1.0

About 15 minutes of research. New accounts get $5 free.

Webhound 's FAQ

Most impacted jobs

Researcher

Data Analyst

AI Developer

Product Manager

Content Creator

Business Analyst

Webhound 's Tags

#AI Research #Data Extraction #Web Scraping #Agent Tools #Pay-as-you-go #Source Tracing #Autonomous Research

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