Webhound

Webhound is a research engine for investigations without natural finish lines. The user chooses a report or structured dataset and sets a dollar budget that controls how much work the investigation can do. Webhound returns the result with inspectable claims, source URLs, and working documents.

• 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.

• 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.

• 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.

• Source Verification - Every output includes sources with links, ensuring transparency and traceability. The built-in Verifier agent checks data quality and citation accuracy automatically.

• Flexible Export Options - Export results as CSV, JSON, Excel, or access via RESTful API for automation and integration into existing workflows.

• 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.

• 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.