Mouse-1 vs TheySaid 3.0: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Mouse-1 and TheySaid 3.0 — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Mouse-1
Mouse
Mouse-1 is a fast, low-cost decision model that plugs into agent harnesses to handle routing, gating and verification.
Key features
- Decision Layer for Agents: Takes agent state and options and returns probabilities so the harness can route, gate and verify.
- About 100 ms Latency: Answers faster than a chat model's first token.
- Batch Decisions: One request answers up to 128 questions.
- Prompt-Injection Resistance: Chooses only from supplied options; planted instructions changed 0% of decisions in vendor tests.
- Zero Data Retention: Requests are scored and dropped, never stored or used for training.
- Image and Document Classification: Handles content moderation, document routing and browser-state detection.
Best for
- Agent Routing: Deciding which model or tool an agent should use next.
- Action Gating: Approving or blocking risky agent actions cheaply.
- Content Moderation: Classifying images or text as safe or unsafe.
- Document Routing: Sending invoices, contracts and IDs to the right workflow.
- Browser Agents: Detecting screen state such as login required or error.
- Cost Reduction: Offloading small decisions from expensive frontier models.
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TheySaid 3.0
TheySaid
Turn single-question surveys into real-time conversational surveys to boost engagement and surface richer insights.
Key features
- Conversational Survey Conversion: Transforms single-question surveys into AI-driven multi-turn conversations that probe respondents with contextual follow-ups to gather richer qualitative data.
- Real-time Engagement: Dynamically adapts follow-up prompts based on answers to keep respondents engaged and reduce drop-off during the survey experience.
- Automated Insight Extraction: Aggregates and summarizes responses, surfaces recurring themes and sentiment, and highlights actionable findings for faster analysis.
- Intelligent Question Generation: Generates clarifying and targeted follow-up questions tailored to each respondent’s answers to obtain deeper context and reasons.
- Response Analytics Dashboard: Provides aggregated views, filters, and breakdowns (e.g., sentiment and themes) to help teams interpret results quickly.
- Export & Integration: Enables exporting response data and integrating survey outputs with downstream analytics or research workflows for further analysis.
- Conversational AI Surveys that adapt follow-up questions based on responses
- AI Interviews to automate in-depth user interviews
- AI Pulses and Polls for single-question feedback and follow-ups
- Question recommendation and auto-generation from website content
- Embedding and delivery via existing channels
- AI-driven summarization of responses and insights
- Convert single-question surveys into interactive, AI-driven conversations
- Real-time capture of conversational survey responses
- Smart conversational survey design to boost respondent engagement
- Automated analysis and extraction of insights from conversational responses
- Web-based survey creation and results dashboard
Best for
- Converting NPS/CSAT single-question prompts into conversational flows to collect reasons, suggestions, and context behind scores for better actionability.
- Market research that requires scalable qualitative feedback by turning short surveys into richer interviews to surface customer needs and motivations.
- Customer support and feedback collection that triages issues via guided conversation and captures exact user language and sentiment for product teams.
- Employee pulse and HR surveys that solicit candid explanations and suggestions while maintaining higher completion rates through conversational engagement.
- Product discovery and usability testing to gather in-depth user reactions, feature requests, and pain points from compact, conversational surveys.
- Collecting product and UX feedback via conversational surveys
- Automating user interviews to surface deeper insights
- Running NPS/CSAT/CES pulses with follow-up probing
- Embedding surveys across websites and apps to increase engagement
- Conducting user tests and polls with AI follow-ups to understand reasons
- Customer feedback collection with richer qualitative responses
- Market research using conversational probes to uncover insights
- Product feedback and user experience surveys
- NPS and satisfaction measurement with follow-up conversational context
- Employee engagement and pulse surveys