Webhound
Long-running research agents that create detailed reports or structured datasets from web data with source verification.
At a Glance
Pricing
Paid
Engagement
Available On
About Webhound
Webhound provides AI-powered research agents designed for depth over speed, enabling users to extract structured datasets and comprehensive research reports from scattered web sources. The platform uses persistent agents that can run for minutes or days, gathering and verifying information continuously until the research is complete or the budget is exhausted. Trusted by researchers and teams at organizations like Amazon, Stripe, Stanford, and Harvard.
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Structured Datasets - Transform unstructured web data into usable tables perfect for GTM research, market analysis, sales enrichment, and training data. Define entity types and attributes, and the system extracts matching data with source verification.
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Comprehensive Reports - Generate detailed, cited research documents ideal for competitive analysis, system architecture research, benchmark studies, and deep dives. Reports include inline citations and formatted sections.
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Persistent Research Agents - Agents run continuously using a Plan/Execute/Verify cycle until your research goals are met. Set your budget and let the system handle the tactical execution while you provide strategic direction.
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Source Verification - Every output includes sources with links, ensuring transparency and traceability. The built-in Verifier agent checks data quality and citation accuracy automatically.
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Guided and One-Shot Modes - Choose Guided Mode for more control with schema proposals and clarifying questions, or One-Shot Mode for immediate execution when you have clear, specific requests.
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Flexible Export Options - Export results as CSV, JSON, Excel, or access via RESTful API for automation and integration into existing workflows.
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Budget Control - Pay-as-you-go pricing with real-time cost deduction. Scale research depth according to your needs with transparent pricing for searches, page visits, and LLM token usage.
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Add Column Feature - Enrich existing datasets by adding new columns with specific search instructions. Use @column_name syntax to reference existing data when searching for related information.
To get started, choose between Datasets or Reports, write a clear prompt with completion criteria, set your budget, and monitor the session early to provide feedback if needed. The system handles web searches, page visits, LinkedIn profiles, and LLM processing automatically.

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Pricing
Pay-as-you-go
Usage-based pricing with no subscriptions. Set budget per session.
- Google Search at $0.006 per search
- Image Search at $0.006 per search
- Page Visit at $0.010 per visit
- LinkedIn Profile at $0.015 per profile
- LinkedIn Post at $0.015 per post
- Gemini 3 Flash: $0.50/1M input tokens, $3.00/1M output tokens
- Gemini 3 Pro: $2.00/1M input tokens, $12.00/1M output tokens
- Prepaid credits
- Real-time cost deduction
- Auto-recharge option
Capabilities
Key Features
- Structured dataset extraction
- Comprehensive research reports
- Persistent research agents
- Source verification with links
- Guided and One-Shot modes
- CSV, JSON, Excel export
- RESTful API access
- Budget control with real-time deduction
- Add column enrichment
- LinkedIn profile research
- Image search and analysis
- Duplicate detection and merging
- Row and full refresh capabilities
- Inline citations
- Auto-recharge option