DokBot vs ZergRouter: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of DokBot and ZergRouter — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

DokBot

Freemium

DokBot turns your PDFs and documents into an embeddable RAG support chatbot for your website in minutes, using your own API key or built-in credits.

Multi-Format RAG Knowledge Bases: Native ingestion of PDF, DOCX, XLSX, MD and TXT files with automatic processing and chunking — no copy-pasting text.
Bring Your Own API Key: Connect OpenAI, Anthropic, Google AI Studio, Groq, OpenRouter, CheaperInference or Ollama Cloud directly without a middleman.
Managed AI Credits: Optionally buy monthly AI credits so DokBot runs the model on its own provider key and bots need no API key.
Human Handoff: When the bot doesn't know an answer it collects the visitor's email and surfaces the full conversation in the Conversations inbox.
Shadow DOM Embeddable Widget: Install with one script tag before </body>, fully isolated so it never breaks your site's CSS.
Live Preview Testing: Iterate on prompts and verify answer accuracy in a live preview before going public.
MCP Access: Pro plan exposes MCP so your own AI assistant can manage bots and knowledge bases.

Website Customer Support: Answer common visitor questions 24/7 from product manuals and help docs.
Documentation Assistant: Let users query long technical PDFs or guides conversationally instead of searching manually.
Lead Capture from Unanswered Questions: Collect emails when the bot can't answer and follow up with full context.
Low-Cost Support Automation: Small businesses run a support bot on free-tier or cheap model providers via BYOK.
Multilingual SMB Support: Spanish-speaking businesses deploy a docs-grounded assistant on their site in minutes.
Agency Client Bots: Build and manage multiple bots with separate knowledge bases for different client sites.

Zerg AI

Freemium

Model router that lets you run DeepSeek in Codex and other coding tools via one endpoint, with API key budgets and Codex quota tracking.

Single Router Endpoint: One OpenAI-compatible endpoint (/v1) that connects Codex, OpenCode, Pi and other compatible apps to your chosen models.
DeepSeek in Codex: Run DeepSeek 4.1 Flash inside Codex through native Responses API forwarding.
API Key Budgets: Scoped Router keys with daily budgets and monthly usage caps to control spend.
Fallback Chains: Configure explicit fallback routes for supported chat requests.
Codex Quota Monitoring: Compare connected Codex accounts by remaining weekly quota, reset dates and banked resets, with stale data flagged.
Usage Analytics: Explore routed usage by model, date and client, including input, cached input and output tokens.
Bring Your Own Keys: Use your own provider credentials, billed directly by the provider.

Cheaper Coding Agents: Swapping Codex's default model for low-cost DeepSeek for routine coding tasks.
Team Spend Control: Issuing budgeted Router keys to developers to cap daily API costs.
Multi-Account Codex Management: Choosing which Codex subscription to use based on remaining quota and reset times.
Provider Failover: Keeping coding tools working by routing to fallback models when a provider is unavailable.
Usage Auditing: Tracking which clients and models consume tokens over time.