mcanswers-ai
Pegasus AI (mcanswers-ai) is a workspace RAG platform that turns uploaded documents into operated AI assistants for teams and operators, enabling chat, website widgets, scoped API clients, and usage tracking.
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Quick Overview
Best for: Chatbots & Assistants
What it does
Chatbots & Assistants software for decision-makers comparing workflow fit and alternatives.
Best fit
Chatbots & Assistants
Pricing snapshot
Free from $0/month
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mcanswers-ai
Pegasus AI is a workspace Retrieval-Augmented Generation (RAG) platform that converts uploaded documents into AI assistants teams can train, test, deploy, and operate. It supports multi-surface deployment — workspace chat, a publishable website widget, and OpenAI-compatible API clients — with operational controls for governance, token management, and usage visibility. The product targets teams and operators who need to move a bot from internal testing to public deployment while maintaining security and billing transparency.
AI-powered coding assistant with debugging, code generation, and learning resources.
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Claim this listing for $29Key Features
Knowledge operations
Upload PDF, DOCX, Markdown, and TXT files, select a parse provider, watch queued training progress, cancel safely, and retrain when documents change.
Standard RAG and Max Mode
Use fast standard retrieval for everyday questions and enable Max Mode for multi-section reasoning with reranking and synthesis for deeper questions.
Production website widget
Publish a visitor chat bubble with an owned widget token, exact allowed-origin controls, token rotation with grace periods, and a copy-ready website snippet for anonymous visitor chat.
Team workspaces and bot management
Switch between Personal and Team contexts, share bots with members, manage seats and invitations, view bot cards showing status, ownership, document count, and team sharing context.
Scoped API access
Call bots directly from OpenAI-compatible clients and control access with scoped Personal Access Tokens featuring expiry, one-time secret display, and workspace binding.
Usage and quota visibility
Track requests and credits by date range, source (Direct, Widget, API, training), bot, member, and team; inspect traffic spikes, training cost, widget activity, and API automation.
Deploy and governance controls
Operational controls for enabling/disabling embeds, rotating and restricting widget tokens, and exact allowed-origin settings for production and local development.
Bilingual documentation
Searchable product guides available for English and Vietnamese users.
Pricing
Free tier available: $0/month with 2 chatbots, 5 MB document storage per bot, 100 credits per day, and website embed widget.
FREE
$0/month- 2 chatbots
- 5 MB document storage per bot
- 100 credits per day
- Website embed widget
PRO
$10/month- 10 chatbots
- 10 MB document storage per bot
- 2,000 credits per day
- Max Mode
ULTRA
$50/month- 50 chatbots
- 50 MB document storage per bot
- 20,000 credits per day
- Everything in Pro including advanced models and higher usage headroom
Use Cases
Internal knowledge assistants
Create bots from company documents to answer employee questions in a workspace before wider deployment.
Public website support bot
Embed a controlled visitor chat widget on production sites to serve anonymous users while enforcing origin and token rules.
Scoped API automation
Call bots from OpenAI-compatible clients for automation and integrations using scoped Personal Access Tokens tied to workspace permissions.
Team operations and governance
Manage bots, seats, and sharing across Personal and Team contexts, with usage reporting to explain consumption and costs.
Integrations
OpenAI-compatible API
Allows calling bots from OpenAI-compatible clients and supports scoped Personal Access Tokens for access control.
Parse providers (unspecified)
Choose a parse provider when uploading documents to extract knowledge for training (provider details are not specified on the page).
Benefits
Limitations
Frequently Asked Questions
No verified FAQs are available.
Getting Started
- 1 Create a bot: give the bot an identity and choose initial settings (identity, knowledge, behavior).
- 2 Upload and train: add documents (PDF, DOCX, Markdown, TXT), choose a parse provider, and watch queued training progress.
- 3 Test and deploy: chat in the workspace, switch models or enable Max Mode for deeper reasoning, then share, embed, or create scoped API tokens and monitor usage.
Support
docs
Product documentation and guides are referenced on the site ("Read the docs" and 'Docs' links are present).
quickstart
Open quickstart and 'Start for free' paths are presented on the site for onboarding.
API
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