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Description
Codex serves as an API designed to provide enhanced data related to blockchain and prediction markets. It offers comprehensive insights for over 80 million tokens and 700 million wallets spanning more than 80 networks, including EVM chains and Solana, featuring real-time price updates, visual charts, holder information, balance details, and aggregated analytics with updates in under a second, alongside historical pricing in USD and support for WebSocket and webhook subscriptions.
Moreover, Codex aggregates prediction market insights from platforms like Polymarket and Kalshi, presenting them in a unified schema that includes details on events, markets, traders, holdings, live order books, and trade feeds, as well as providing time-windowed statistics and ranking signals such as volume, liquidity, open interest, trade count, and unique trader metrics across various time frames ranging from 5 minutes to one week, which are not typically available via the venue APIs.
As a GraphQL API, Codex is conveniently queried directly by most development teams, and it also offers an optional TypeScript SDK for ease of integration. Additionally, there is an MCP server available to assist users in navigating the documentation. Codex features a free tier allowing for 10,000 requests per month, along with usage-based Growth pricing and tailored Enterprise solutions, making it an invaluable tool for developers looking to create trading platforms tailored to their needs. With its extensive capabilities, Codex enhances the trading experience by offering both depth and flexibility in data access.
Description
StarCoder and StarCoderBase represent advanced Large Language Models specifically designed for code, developed using openly licensed data from GitHub, which encompasses over 80 programming languages, Git commits, GitHub issues, and Jupyter notebooks. In a manner akin to LLaMA, we constructed a model with approximately 15 billion parameters trained on a staggering 1 trillion tokens. Furthermore, we tailored the StarCoderBase model with 35 billion Python tokens, leading to the creation of what we now refer to as StarCoder.
Our evaluations indicated that StarCoderBase surpasses other existing open Code LLMs when tested against popular programming benchmarks and performs on par with or even exceeds proprietary models like code-cushman-001 from OpenAI, the original Codex model that fueled early iterations of GitHub Copilot. With an impressive context length exceeding 8,000 tokens, the StarCoder models possess the capability to handle more information than any other open LLM, thus paving the way for a variety of innovative applications. This versatility is highlighted by our ability to prompt the StarCoder models through a sequence of dialogues, effectively transforming them into dynamic technical assistants that can provide support in diverse programming tasks.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
ChatGPT
CodeQwen
Git
GitHub
LM Studio
Model Context Protocol (MCP)
OpenAI
Python
Solana
Tabby
Integrations
ChatGPT
CodeQwen
Git
GitHub
LM Studio
Model Context Protocol (MCP)
OpenAI
Python
Solana
Tabby
Pricing Details
$350/month
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Codex.io
Founded
2021
Country
Canada
Website
www.codex.io
Vendor Details
Company Name
BigCode
Founded
2023
Website
huggingface.co/blog/starcoder
