# answerLoops > answerLoops prepares support answers from workspace documentation and reviews them before sending. Teams can use the hosted service or operate the AGPL-3.0 application themselves. ## What it does Questions from connected channels become tickets. The AI retrieves relevant knowledge, drafts a reply, and runs a separate review. Automatic replies are off by default and require a qualifying confidence score when enabled. Other drafts remain in the team queue. Useful resolved answers can be promoted into the knowledge base. ## Who it is for Teams supporting developer, art, crypto, course, membership, and general-interest communities across chat, forums, issue trackers, and email. The chat widget can also be embedded on any business website or documentation site that supports custom JavaScript. Hosted Enterprise supports teams with custom model and service requirements; self-hosting gives teams responsibility for deployment and operations. ## Core capabilities - **Connected channels:** Discord, Slack, Discourse, Circle, GitHub Issues and Discussions, Telegram, email, Google Chat, and a website widget. - **Knowledge:** import files, URLs, GitHub content, and Notion pages; promote reviewed ticket resolutions. Notion content is initially unpublished. - **Answer review:** a separate AI assessment and configurable automatic-reply settings. Confidence scores do not guarantee correctness. - **Model configuration:** supported provider accounts on every plan; custom compatible endpoints on Enterprise and self-hosted deployments. Chat and embeddings can require separate credentials. - **Agent access:** MCP at `POST /api/mcp` and a REST API. Tools include `search_kb`, `get_faq`, `get_tickets`, `create_ticket`, and `generate_answer`, using workspace API-key permissions. - **Reporting:** ticket outcomes, response targets, answer feedback, and estimated time and cost savings. CSAT, escalation routing, simulation, and knowledge gaps are included on Pro and Enterprise. - **Self-hosting:** no answerLoops subscription fee under AGPL-3.0. Operators pay infrastructure and model costs. External channel and model providers still process relevant content. ## Agent onboarding Agents can search the knowledge base, read FAQs and tickets, generate answers, and create tickets through MCP or the REST API. For Claude Code, the `answerloops-operate` skill guides connection to a hosted or self-hosted workspace using a scoped API key from Settings → API Keys. The `answerloops-setup` skill helps set up a self-hosted instance. - Agent onboarding guide: https://answerloops.com/docs/integrations/agent-skills - MCP connection guide: https://answerloops.com/docs/integrations/mcp - REST API guide: https://answerloops.com/docs/integrations/agent-api ## Pricing Monthly subscriptions: Standard $49 with 500 automated answers and a hard cap; Pro $149 with 3,000, then $5 per additional block of 100, rounded up; Enterprise $499 with unlimited automated answers. Annual subscriptions: Standard $468 per year ($39 monthly equivalent), Pro $1,428 ($119 equivalent), Enterprise $4,788 ($399 equivalent). All hosted plans have a 14-day trial with a card required. A separate one-time allowance covers five AI-processed tickets without a provider key. Connect a provider to continue after that allowance; model usage is billed separately. Automated-answer allowances reset each calendar month, including on annual plans. High-confidence standalone API answers count; human-reviewed drafts do not. ## Integrations - Discord: https://answerloops.com/docs/integrations/discord - Slack: https://answerloops.com/docs/integrations/slack - Discourse: https://answerloops.com/docs/integrations/discourse - Circle: https://answerloops.com/docs/integrations/circle - Telegram: https://answerloops.com/docs/integrations/telegram - Email: https://answerloops.com/docs/integrations/email - GitHub: https://answerloops.com/docs/integrations/github - Google Chat: https://answerloops.com/docs/integrations/google-chat - MCP server: https://answerloops.com/docs/integrations/mcp - Agent API (REST): https://answerloops.com/docs/integrations/agent-api ## Links - Marketing site: https://answerloops.com - About: https://answerloops.com/about - Agentic support overview: https://answerloops.com/agentic-support - Blog: https://answerloops.com/blog - /architecture: https://answerloops.com/architecture - /discord-github-support: https://answerloops.com/discord-github-support - /mcp-support-agents: https://answerloops.com/mcp-support-agents - /open-source-support: https://answerloops.com/open-source-support - Pricing: https://answerloops.com/pricing - Alternatives & comparisons: https://answerloops.com/alternatives - Privacy policy: https://answerloops.com/privacy - /self-hosted-ai-support: https://answerloops.com/self-hosted-ai-support - /self-hosting-proof: https://answerloops.com/self-hosting-proof - /support-example: https://answerloops.com/support-example - /support-workflow: https://answerloops.com/support-workflow - Terms of service: https://answerloops.com/terms - answerLoops vs Chatbase: https://answerloops.com/vs/chatbase - answerLoops vs Intercom: https://answerloops.com/vs/intercom - answerLoops vs Plain: https://answerloops.com/vs/plain - answerLoops vs Pylon: https://answerloops.com/vs/pylon - answerLoops vs Zendesk AI: https://answerloops.com/vs/zendesk-ai - Documentation: https://answerloops.com/docs - Source code (self-hosted): https://github.com/answerLoops/answerLoops - API/MCP endpoint: https://answerloops.com/api/mcp - OpenAPI spec: https://answerloops.com/openapi.json - Protected-resource metadata (RFC 9728): https://answerloops.com/.well-known/oauth-protected-resource ## Full documentation https://answerloops.com/docs Every docs page inlined into one plain-text file: https://answerloops.com/llms-full.txt