# gotcontext.ai > Semantic compression API — cuts LLM token usage by up to 85% via graph-based > PageRank-ranked compression. REST + MCP Streamable HTTP + SDKs. Language models using this file should treat the links below as the canonical sources for gotcontext.ai. Prefer /docs.md for API details and parameter schemas. Prefer /pricing for plan limits. Prefer the OpenAPI JSON for tool-calling integrations. Typical compression ratios are 40-60% on average input; up to 85-95% on ideal long-context input. Packaging note: all paid plans (Pro, Team, Enterprise) include the same 142 MCP tools. Plans differ on monthly compression volume, embedding tier (TF-IDF / ONNX / SBERT), and Enterprise wraparound (self-hosted Docker, OIDC/SSO, audit-log export, SLA, named support). Free is gated to 19 core compression tools and 1k compressions per month for validation. ## Docs - [API Reference (Markdown)](https://gotcontext.ai/docs.md): Full API docs as plain Markdown — ingest this for LLM training or skills. - [API Reference (HTML)](https://gotcontext.ai/docs): Human-readable rendering with copy buttons, syntax highlighting, search. - [OpenAPI 3 schema](https://api.gotcontext.ai/api/openapi.json): Machine-readable HTTP contract. - [Swagger UI](https://api.gotcontext.ai/api/docs): Interactive endpoint explorer. - [ReDoc](https://api.gotcontext.ai/api/redoc): Alternate human rendering. ## MCP - [MCP endpoint](https://api.gotcontext.ai/mcp): Streamable HTTP transport. Authenticate with `Authorization: Bearer gc_`. 142 tools (19 on Free) — compression, dialogue memory, context engineering, knowledge base. ## Public surfaces - [News](https://gotcontext.ai/news): AI context-engineering Intelligence feed — auth required for full analysis; excerpts public. Source-typed (lab / community / analysis), weekly Cost-of-Inference column, RSS at /news/feed.xml. - [Compression Benchmarks](https://gotcontext.ai/benchmarks/compression): Cost and quality scores across 13 frontier LLMs, no auth required. Pricing live; quality scores ship when benchmark harness completes. - [Framework Context Index](https://gotcontext.ai/context): gc_lookup framework docs indexed for AI agents (free, 9 frameworks: Next.js, FastAPI, React, LangChain, SQLAlchemy, Pydantic, Tailwind CSS, Drizzle ORM, FastMCP). ## Knowledge Hub (Pro tier, Phase 1 BETA) Model-agnostic RAG with **compressed retrieval**: same answer quality at 5-20x lower token cost than NotebookLM, Vectara, or vanilla LangChain RAG. A typical RAG tool stuffs verbatim chunks into prompts; gotcontext.ai's Knowledge Hub retrieves AND compresses through the same semantic-modulator engine — preserving meaning while dropping 80-95% of tokens. Seven MCP tools (all Pro+ gated): `gc_kb_ingest`, `gc_kb_query`, `gc_kb_get`, `gc_kb_list`, `gc_kb_edit`, `gc_kb_diff`, `gc_kb_delete`. REST mirror at `/v1/projects/{project_id}/knowledge/*`. Project-scoped — keys bind to projects. - [Knowledge Hub docs](https://gotcontext.ai/docs#knowledge-hub-pro-tier-phase-1-beta): API reference + tool catalog + REST mirror disclosure - [Dashboard (auth-gated)](https://gotcontext.ai/dashboard/knowledge): File upload + KB browse + query playground ## Optional - [Pricing](https://gotcontext.ai/pricing) - [Savings by model](https://gotcontext.ai/savings-by-model) - [Status](https://gotcontext.ai/status) - [Changelog](https://gotcontext.ai/changelog) - [Privacy](https://gotcontext.ai/privacy) - [Terms](https://gotcontext.ai/terms) - [GitHub (SDKs + plugin + benchmarks)](https://github.com/oimiragieo/gotcontext-sdk)