Comparison

BeforeQuery vs Duckie

Duckie is an agentic platform aimed at support teams that want to automate ticket resolution and internal triage in Slack. BeforeQuery is a customer-facing knowledge assistant that also handles internal support — one knowledge base surfaced through a public widget, Slack / Discord / Teams bots, MCP, and a form deflector.

Feature comparison

Information about Duckie is drawn from their public website.

Feature
BeforeQuery
Duckie
Primary positioning
Customer-facing knowledge assistant (docs, widget, bots, MCP) with helpdesk + form deflection
Internal support automation and ticket triage; Slack-first
Public web widget
Yes — hosted, themeable, reCAPTCHA, hide-branding on Enterprise
Not documented
Form deflector (before ticket submit)
Yes — standalone, confidence-scored
Not documented
Slack bot
Yes — /askai + @mention, forum auto-reply, thumbs feedback
Yes
Discord bot
Yes — native app, mentions, forum auto-reply
Not documented
Microsoft Teams bot
Yes
Not documented
MCP server (Cursor / Claude / ChatGPT)
Yes — per-knowledge-base endpoint
Yes — MCP tool integration
Helpdesk integrations
Zendesk, Freshdesk, Front, Jira Service Management, Intercom
Zendesk, Intercom
Source connectors
18 connectors including websites, GitHub/GitLab, Notion, Confluence, Google Drive, SharePoint, Zendesk, Jira, Linear, Salesforce, Shopify, Slack, Discourse, Stack Overflow, YouTube, files
Custom tools via MCP; helpdesk integrations for tickets
Retrieval
Hybrid: pgvector + BM25, RRF fusion, LLM query rewrite, cross-encoder reranking, abstention gate
Agent-orchestrated retrieval via tools
Pricing transparency
Public pricing: Free / $99 Pro / Enterprise
Book a demo (no public pricing)
Free tier
Yes — 100 questions/month, no credit card
Not listed publicly

Where BeforeQuery focuses differently

Customer-facing, not just internal

Duckie's home surface is a support team's Slack channel — great for internal triage. BeforeQuery ships the same internal Slack/Teams/Discord bots plus a public widget, form deflector, and open API so the same knowledge base answers customers on your site too.

Docs-native retrieval

BeforeQuery's ingest pipeline is built for docs — HTML→markdown normalisation, code-block extraction, heading-aware chunking, PDF structure inference. A retrieval stack with hybrid + reranking + abstention on top. Deploy on a customer-facing widget without worrying about hallucinations.

Transparent pricing and a free tier

BeforeQuery publishes pricing openly and offers a free plan without a credit card. Duckie is demo-first — you don't know the number until sales tells you.

Broader source coverage

18 connectors including GitHub, GitLab, Notion, Confluence, SharePoint, Google Drive, Salesforce, Shopify, Linear, Discourse, Stack Overflow, YouTube, and every major helpdesk. Handles product docs, internal wikis, community forums, and past tickets in one knowledge base.

Frequently asked questions

Which is better for internal support automation in Slack?

Both work. Duckie is Slack-first with a workflow builder tailored to ticket triage. BeforeQuery covers the same Slack use case (mentions, /askai, forum auto-reply, thumbs feedback) and also runs the public widget, Discord and Teams bots, form deflector, and MCP endpoint out of the same knowledge base.

Can I use BeforeQuery for customer-facing support?

Yes — that's the primary use case. Deploy the widget on your docs or product site, add a Slack/Discord/Teams bot for community support, and use the form deflector to answer questions before they become tickets.

How does pricing compare?

BeforeQuery publishes pricing on the site: Free (100 questions/mo, 1 KB), Pro $99/mo (1,000 questions, 5 KBs), Enterprise custom. Duckie doesn't publish pricing — you have to book a demo to get a number.

Does BeforeQuery support MCP?

Yes. Every knowledge base has an MCP endpoint with search + ask tools, so Cursor, Claude Desktop, ChatGPT with MCP, and any MCP-compatible agent can query it.

How is retrieval quality measured?

Every answer is scored by an LLM judge for groundedness and citation quality; scores are exportable via API. When retrieval confidence is too low the assistant abstains instead of guessing.

See for yourself

Connect your docs and get your first AI-powered answer in under 5 minutes. No credit card required.