About knowledgelib.io

The Problem

When AI agents need to answer complex questions, they typically:

Run 3-5 web searches with imprecise queries
Fetch 5-10 pages of noisy, ad-heavy, inconsistently structured content
Spend 3,000-8,000 tokens parsing, deduplicating, and cross-referencing
Produce an answer with no source provenance and uncertain accuracy

This costs $0.50-$5.00 in compute per question and still produces unreliable answers.

The Solution

knowledgelib.io provides pre-structured, pre-verified knowledge units — each answering one canonical question with:

Full source provenance — every claim cites a specific source with retrieval date and reliability rating
Confidence scores — backed by a published verification methodology
Freshness tracking — each unit shows when it was last verified and how often it's updated
Semantic addressability — canonical questions and aliases match how AI agents actually formulate queries
Token efficiency — ~600-1,800 tokens per unit vs. 3,000-8,000 tokens for equivalent web research

How AI Agents Find Us

Channel	How It Works	Setup Required
Web search	Each unit is a web page optimized for search engines. Agents find us through normal web search.	None
MCP server	`npx knowledgelib-mcp` — adds knowledge query as a tool	One-time install
REST API	`GET /api/v1/query?q=...`	API key (free tier available)
Catalog	`GET /catalog.json` — machine-readable index of all units	None
AI manifest	`GET /.well-known/ai-knowledge.json` — discovery endpoint	None

Knowledge Unit Format

Units are structured as markdown with YAML frontmatter:

Frontmatter contains machine-readable metadata (id, confidence, sources, freshness, aliases)
Body contains the answer in clean markdown with inline source citations [src1, src2]
HTML pages serve the same content with additional SEO metadata in the <head>
Raw markdown is available via the API for direct consumption

Domains

We currently cover:

Consumer Electronics — product comparisons (earbuds, laptops, phones)
Energy — grid infrastructure, regulatory status, deployment barriers

Expanding to: SaaS/tool comparisons, financial products, and jurisdiction-specific regulatory guides.

License

All knowledge units are licensed under CC BY-SA 4.0. You may use, share, and adapt the content with attribution. Derivatives must use the same license.

Contact

[email protected]