Tweet

Tweet is a specialized utility designed to bridge the gap between social media content (specifically posts from X) and large language models (LLMs), AI agents, and researchers. Its core function is to transform any X post or thread URL into clean, structured Markdown. This process replaces unreliable embedded links and raw HTML with plain text, metadata, and formatted media links, making it immediately usable for context ingestion by AI systems like ChatGPT, Claude, and Gemini, or for archiving in personal knowledge bases.

How to use Tweet

Using Tweet is straightforward: For manual use, simply replace "x.com" with "tweet.md" in the address bar of any X post URL and press enter. You will receive a clean Markdown page. For integration into AI agents, you can provide your agent with the official 'tweet-md/skill' and your API key, instructing it to automatically rewrite URLs. Developers can also make direct API calls to the `/i/api/convert` endpoint. Paid usage in the same browser after login or purchase is managed via a session cookie, eliminating the need for explicit API keys in URLs for casual browsing.

Core Features of Tweet

• URL-to-Markdown Conversion: Transforms any individual X post or full thread (up to 100 posts) into clean, readable Markdown.
• LLM-Optimized Output: The Markdown output is designed to save tokens for AI models by providing structured, parseable text instead of raw embeds or JSON.
• Flexible Output Formats: Offers two primary formats: 'markdown' (default, with stats, media, quotes) and 'obsidian' (with YAML frontmatter for vault imports).
• X Articles Support: Can extract the full body text from long-form 'X Articles' posts using their status URL.
• Metadata Extraction: Optionally includes author metadata (username, display name, bio) for an additional credit cost per unique author.
• Agent & API Integration: Provides a dedicated API (`/i/api/convert`) and a pre-built 'skill' for seamless integration into AI agents and scripts.

Use Cases for Tweet

Tweet is ideal for AI researchers and developers who need reliable, clean text context from X for model prompting or fine-tuning. Content creators and social media managers can use it to archive threads or repurpose content into articles. Journalists and analysts can save and quote tweets accurately. Users of note-taking apps like Obsidian or Notion can import threads with proper formatting. AI agents gain the ability to read and understand the full context of X conversations.

Advantages of Tweet

The primary advantage of Tweet over manual copy-pasting or web scraping is reliability and quality. It calls the official X API, ensuring data integrity, and normalizes the output into a consistent, LLM-friendly format. This saves significant time and tokens for AI applications. The tool's simplicity—the core URL swap mechanism—makes it highly accessible. The availability of an API and agent skill allows for powerful automation. Furthermore, the pricing is credit-based and non-expiring, offering flexible usage without subscriptions.

Pricing and Plans

Tweet uses a credit system. Each post returned costs 1 credit. Adding author metadata costs an additional 2 credits per unique author. The free tier allows 5 single-post conversions per IP per month, limited to `thread=off` and `userinfo=off` (no threads or author metadata). Paid credits can be purchased in packs that never expire:

• $5 for 500 credits (~$0.01 per credit, approximate usage ~166 posts with metadata)
• $19 for 2,200 credits (~$0.0086 per credit, best value, approximate usage ~733 posts with metadata)
• $49 for 6,000 credits (~$0.0082 per credit, lowest per-credit rate, approximate usage ~2,000 posts with metadata)