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Budget-controlled research engine producing cited reports and sourced datasets.

Webhound homepage screenshot

Features

  • Budget and depth controls
  • Long-running autonomous retrieval
  • Weak-claim verification
  • Cited reports and sourced datasets
  • App, MCP, and API access

Use Cases

  • Market and competitor research
  • Due-diligence data collection
  • Fact checking
  • Agent research workflows

FAQ

Webhound accepts a research question and dollar budget, follows leads, checks weak claims, and continues searching before returning a cited report or a sourced dataset together with sources and working notes. It is available as an app, MCP server, and API for agents such as Codex and Claude Code. Core capabilities include: Budget and depth controls, Long-running autonomous retrieval, Weak-claim verification.

Common scenarios include: Market and competitor research, Due-diligence data collection, Fact checking.

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