Darkthar AI Data Extract Engine
High-speed web extraction API with 99% token reduction for LLMs
About
Darkthar AI is a production-grade web extraction engine engineered specifically for LLM pipelines, autonomous agents, and developer workflows. Feeding raw web HTML into LLMs drastically bloats context windows and drives up inferencing costs. Darkthar solves this by stripping web bloat and returning clean, token-optimized Markdown alongside structured JSON schema parsing. Key Highlights:• 99%+ Token Reduction: Converts complex HTML trees into ultra-clean Markdown, heavily reducing prompt token costs.• Anti-Bot Resilience: Equipped with browser fingerprint emulation, macOS fallback on 403 blocks, and automated exponential backoff retries.• BYOK (Bring Your Own Key): Users supply their Gemini API key via headers, keeping server operational and AI costs at absolute zero.• High-Throughput Batch API: Extract and structure multi-URL batches simultaneously.• Interactive Dark Docs: Custom-styled dark Swagger interface with an integrated browser testing utility. Tech Stack:Python, FastAPI, Cloudscraper, BeautifulSoup4, Pydantic, Tenacity. What's Included:Full source code, IP ownership, deployment instructions, and post-sale technical handover support.
Comments (3)
99% token reduction sounds impressive, but does it really deliver the speed it promises?
99% token reduction sounds impressive, but how does it handle complex sites with dynamic content?
Does the token reduction actually affect extraction accuracy?
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