Dex by Thirdlayer vs Webhound: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Dex by Thirdlayer and Webhound — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Dex by Thirdlayer
Thirdlayer
A Chrome workspace extension that acts as a second brain, remembering context, tasks, and helping you move work forward.
Key features
- Contextual Memory: Persists and recalls page- and task-specific context across browsing sessions so the workspace can surface relevant history and suggestions tied to the current tab.
- Unified Workspace: Consolidates notes, bookmarks, tasks, and past interactions into a single Chrome-accessible panel to reduce context switching and keep work organized.
- Context-Aware Suggestions: Analyzes the current page and open tabs to propose next actions, relevant resources, or follow-up tasks that help move work forward.
- In-Browser Summaries: Generates concise summaries of long articles, threads, or meeting notes directly in Chrome to accelerate understanding and decision making.
- Quick Commands & Shortcuts: Provides a command palette or quick actions to create tasks, capture snippets, or jump to saved contexts without leaving the browser.
- Integrations & Linking: Links captured items to external tools and common web services (e.g., drive, docs, messaging) so information captured in Dex can be reused across workflows.
- Searchable Knowledge Base: Lets users search past captures, notes, and interactions from within the extension to rapidly retrieve previously seen content.
- Privacy Controls: Local or per-item controls to manage what browsing context and captured data the workspace retains and exposes to the assistant.
- Chrome/Chromium extension that provides a unified AI workspace inside the browser
- Persistent contextual memory across browsing sessions (remembers tasks, context, and history)
- Natural-language contextual search across open tabs, bookmarks, and saved pages
- Automatic page summarization and content distillation
- Note-taking and lightweight task tracking integrated with browser context
- Web clipping and saving of pages for later retrieval
- Contextual suggestions to help move tasks and projects forward
- Primary integration surface is the browser extension / web UI; no public API or SDK documented in provided content
Best for
- Research Summaries: Quickly summarize long articles or multi-tab research into concise notes tied to a project context for faster synthesis.
- Project Onboarding: Collect and present all task-relevant pages, documents, and prior decisions for a new project so new contributors ramp up faster.
- Writing Assistance: Capture context from reference pages and automatically insert summaries, quotes, or citations into drafts to speed content creation.
- Customer Support Triage: Aggregate conversation threads and product docs into a single context card to craft faster, consistent responses.
- Task Tracking From Pages: Create and manage follow-up tasks directly from web pages (e.g., product pages, tickets, PRs) and have Dex remind you in-context.
- Knowledge Retention: Maintain a searchable history of decisions, notes, and saved snippets so teams can retrieve rationale and prior research later.
- Research and literature review: aggregate and summarize web pages and retain context across sessions
- Meeting and agenda prep: collect relevant pages/notes and get summarized briefings
- Personal knowledge base: capture and search bookmarks, clippings, and notes with contextual memory
- Customer support / reference lookup: surface relevant pages and summaries quickly during interactions
- Developer/productivity workflows: keep task context and related resources accessible inside the browser
Webhound
Webhound
A long-running research agent that builds custom datasets and cited reports from the web based on a natural-language prompt.
Key features
- Long-running Research Agent: Runs deep, multi-step web research where quality scales with time and compute budget.
- Custom Dataset Builder: Turns a natural-language prompt into a structured, exportable CSV of the fields you asked for.
- Cited Reports: Produces written research reports with inline citations to the sources it used.
- Conversational Workspace: Start, refine, and organize research sessions from a chat interface with folders and memory.
- In-run Python Execution: The agent can write and run Python during research for calculations, charts, transformations, and API calls.
- Preference Memory: Remembers formatting, scoping, and source preferences across sessions so repeat research stays consistent.
- Structured & Unstructured Outputs: Choose between dataset (CSV) or narrative report output depending on the task.
Best for
- Sales & Prospecting Lists: Build a dataset of companies matching a niche criteria with contact and funding fields filled in.
- Market & Competitive Research: Generate cited reports on a market segment, competitor set, or technology trend.
- Academic & Policy Research: Compile evidence-backed briefs with references for a research question.
- Investment Diligence: Pull structured profiles of startups, technologies, or acquisitions from across the web.
- Data Enrichment: Take a list of entities and enrich it with columns Webhound researches per row.