PriceScout

PriceScout is an AI-powered chatbot that researches and tracks LLM inference pricing across providers. It scrapes provider pricing pages with Firecrawl, uses Claude to pull out structured pricing data, and stores everything in a local SQLite database so it can answer pricing questions and comparisons without re-scraping every time.

Providers currently covered:

• cloudrift — https://www.cloudrift.ai/inference

• deepinfra — https://deepinfra.com/pricing

• fireworks — https://fireworks.ai/pricing#serverless-pricing

• groq — https://groq.com/pricing

How it works

• server.py is an MCP server (built with FastMCP) exposing two tools: scrape_websites, which pulls pricing pages via Firecrawl and caches the results under scraped_content/, and extract_scraped_info, which looks up previously scraped content by provider name, URL, or domain.

• client.py is the chat client. It connects to the pricing server plus an MCP SQLite server and an MCP filesystem server, routes each query through Claude with tool access, and — whenever a response contains pricing details — asks Claude to extract structured plan data and writes it into the pricing_plans table.

• server_config.json wires up the three MCP servers (llm_inference, sqlite, filesystem) that the client connects to.

Setup

1. Create a virtual environment with uv and sync dependencies: uv sync

2. Add an Anthropic API key and a Firecrawl API key to .env (ANTHROPIC_API_KEY, FIRECRAWL_API_KEY)

3. Run the client: uv run client.py

Usage

Once running, ask things like:

• "How much does cloudrift ai (https://www.cloudrift.ai/inference) charge for deepseek v3?"

• "How much does deepinfra (https://deepinfra.com/pricing) charge for deepseek v3?"

• "Compare cloudrift ai and deepinfra's costs for deepseek v3"

Type show data at any point to see recently stored pricing entries, or quit to exit.