Cut your prompt token overhead by up to 80%. Without losing context, code integrity, or secret keys.
A drop-in proxy that cleans bloated HTML, deduplicates logs, and strips syntax noise before payloads hit your upstream models. Runs on local CPU with under 5ms latency.
Benchmarks measured across production HTML parsers, workspace indexers, and syslog streams.
Estimate Your Token & Cost Reduction
Enter your downstream model token rate, monthly request volume, and routing mode to view projected savings.
Full Structural Logic Analysis, Web Noise Filtering, and Semantic Relevance Filtering for documents, RAG, and log files.
$ curl -X POST https://context-miner.com/v1/chat/completions \
-H "Authorization: Bearer cm_key_YOUR_API_KEY" \
-d '{"model": "gpt-4o", "messages": [...]}'
// Raw payload sent by application:
raw_payload: 4,200 tokens (HTML + scripts)
// Optimized payload forwarded upstream (<5ms):
clean_payload: 2,184 tokens
~48% token reduction (Dynamic Context Optimizer + CCR)Transparent Token Reduction Architecture
Deterministic token reduction across every plan, from native Safe Syntax Parsing to full semantic microservice optimization.
Safe Syntax Parser (Native)
Removes redundant whitespace, repeated line breaks, and minifies JSON and Markdown payloads. Built for side projects and local evaluation.
Dynamic Context Optimizer Core
Enables full Structural Logic Analysis, Semantic Relevance Filtering, and in-memory CCR prompt caching:
- • General & RAG Mode: 60% to 80%+ reduction
- • IDE & Dev Mode: 40% to 55%+ (100% code integrity)
Compliance Shield
Built for sensitive environments. Local CPU data masking prevents upstream leakage and satisfies LGPD, GDPR, CCPA, and HIPAA requirements.
Protected Data Patterns
"CPF Formatted: 123.456.789-00
CPF Unformatted: 12345678900
Email: user@domain.com""CPF Formatted: {{TKN_1A2B}}
CPF Unformatted: {{TKN_3C4D}}
Email: {{TKN_5E6F}}"Tip for developers: General Mode masks personal identifiers. For Cursor, Cline, or VS Code, switch to IDE & Dev Mode to bypass masking on test endpoints (127.0.0.1), local ports, and mock fixtures.
Deterministic Local Processing • Zero Upstream Data Egress • Safety boundary mitigations against collisions
Where ContextMiner Excels
Optimized modes for both corporate document processing and high-precision software engineering.
Streamline Autonomous Coding Agents
Structural Logic Analyzer prunes repeated context headers and conversation bloat by 40–55% while preserving function signatures, test IPs (127.0.0.1), docstrings, and tool calls for Cursor, Cline, Aider, and VS Code.
Cost-Efficient Enterprise RAG
Filters retrieved document chunks with Semantic Relevance Filtering, keeping high-signal content in your context window while cutting token volume by 60–80%+.
Zero-Egress Compliance Masking
Deterministic local filters mask CPFs, SSNs, credit cards, and emails into reversible vault tokens before prompts ever leave your infrastructure (100% PII Masked).
Clean HTML & Web Scraping
Strips scripts, styling tags, navigation chrome, and redundant markup from scraped HTML before LLM ingestion, reducing prompt clutter by 60–80%+.
High-Volume DevOps & Syslogs
Deduplicates repetitive heartbeat lines, normalizes timestamps, and extracts concise stack traces for fast AI anomaly diagnosis, cutting log overhead by 60–80%+.
Universal Custom OpenAI API Connector
Connect any AI provider or self-hosted model using the universal Custom OpenAI API standard. Full native compatibility with OpenAI, Anthropic, Gemini, DeepSeek, Groq, Mistral, OpenRouter, and Ollama/vLLM.
Under the Hood: 3 Steps
Mode Routing & Interception
The proxy evaluates the connection mode. General Mode activates Semantic Relevance Filtering, Web Noise Filtering, and Structural Logic Analysis. IDE & Dev Mode preserves raw code structure and test endpoints for coding assistants.
Local Privacy & Masking
For General Mode traffic, prompts pass through the local Compliance Shield to substitute sensitive PII (CPFs, SSNs, payment cards, emails) with reversible vault tokens on the local CPU.
Response De-Masking (CCR)
After upstream model inference, ContextMiner dynamically restores the original tokens in the streaming response before returning payloads to your application.
Built for High-Frequency Pipelines
Autonomous IDE Agents & Dev Mode
Connects as a custom OpenAI-compatible endpoint in Cursor, Cline, Copilot, and Aider. Delivers 40–55%+ token savings while preserving code structure and tool calls.
Semantic Relevance Filter & Web Noise Filter
In General Mode, Semantic Relevance Filtering ranks retrieved text chunks while Web Noise Filtering cleans scraped web pages, trimming token volume up to 60–80%+.
Enterprise Compliance Shield
Combines deterministic regex and local NLP to mask identifiers. Reversible tokens ensure downstream model responses can be restored seamlessly.
Selective Media Filtering
General Mode blocks unnecessary image and video payloads to conserve token budget. In IDE & Dev Mode, visual screenshots and files pass through directly.
Start with 1,000 free requests
Set up your proxy key in under 2 minutes. No credit card required.
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