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

A side-by-side comparison of DokBot and Hopscotch — 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.

Hopscotch Labs

Paid

OpenAI-compatible LLM gateway giving one API and one balance for 500+ models, with fallbacks and spend limits per key, teammate and workspace.

Unified OpenAI-Compatible API: Call 500+ models from Anthropic, OpenAI, Google and others by changing only the base URL, API key and model name in the OpenAI SDK.
Routing Profiles and Fallbacks: Define an ordered list of backup models so requests fail over automatically when a provider errors or returns a 429.
Spend Limits: Set resetting credit limits per API key, monthly limits per teammate and workspace, and a cap on how fast the account can spend.
Activity Log and Usage Analytics: See every request with serving provider, outcome, tokens, cost and latency, export to CSV, and break spend down by model, key and teammate.
Model Catalog with Upstream Pricing: Each model lists context window and per-million-token price, including multiple upstream providers for open-weight models.
Side-by-Side Playground: Run one prompt on up to three models and compare answers and cost before changing code.
Bring Your Own Keys: Use your own provider keys free with no monthly cap alongside Hopscotch credit.

Multi-Provider Apps: Letting an application switch between Claude, GPT and Gemini without maintaining separate SDKs, accounts or bills.
Resilient Production Traffic: Automatically falling back to another model when a primary provider is rate-limited or down.
Team Budget Governance: Giving each developer or environment its own key with a spend ceiling so costs cannot run away.
Model Evaluation: Comparing output quality and cost of several models on real prompts in the playground before switching.
Cost Auditing: Exporting per-request logs to attribute LLM spend by model, provider, key and teammate.