Summary of LLM API Engine: Describe API, Extract Sources with Firecrawl, Deploy in Seconds 🔥

Video Summary

In this video, the speaker presents a generative AI application designed to interact with APIs for extracting financial data, specifically using Nvidia as a case study. The application allows users to define various parameters for the API, such as market cap, trading price, and trading volume, and returns structured outputs based on the specified schema.

Key Features

API Definition: Users can specify which financial metrics they want, and the application guides them to ensure the schema is valid.
Data Extraction: The app uses Firecrawl's extract endpoint to scrape data from selected sources like Yahoo Finance. Users can choose multiple web pages to gather comprehensive data.
Validation: Once data is extracted, it can be validated for accuracy, displaying live numbers for trading price, market cap, and trading volume.
Deployment Options: The application can be deployed as an endpoint on platforms such as AWS Lambda or Cloudflare Workers, or integrated into applications like Next.js.
Future Enhancements: The speaker plans to implement cron functionality for automatic data scraping at specified intervals, allowing for real-time updates on market data.
Open Source Availability: The application will be open-sourced, and interested users can access the code via a link in the video description.

Getting Started

To get started, users need to obtain API keys from Firecrawl, OpenAI, and Upstash, with Firecrawl offering up to 500,000 tokens for free.

Speaker Information

The main speaker in the video is the developer of the application, who provides insights into its functionality and future developments.

Notable Quotes

— 00:00 — « No notable quotes »