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    Glixin SWD - Semiotic Website Compression API for LLMs

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    Sold by: Glixin 
    Deployed on AWS
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    AWS Free Tier
    Compress crawled web content before it reaches your LLM, reducing input tokens by 80%+ to cut inference costs for enterprise RAG pipelines.

    Overview

    Reduce RAG and Web-Scraping Token Costs with Deterministic Content Compression

    The Semiotic Website Dehydrator (SWD) API by Glixin compresses unstructured website scrapes and document payloads using patent-pending Peircean FST semiotic processing-a rule-based approach that delivers consistent, repeatable compression while preserving the full semantic meaning of your web inputs. The result: fewer tokens sent to your LLM provider, lower inference costs, and equivalent output quality.

    SWD is built for teams running production retrieval-augmented generation (RAG) and web-ingestion workflows on AWS who need a reliable, automated way to reduce token spend without sacrificing prompt fidelity.

    Key Benefits

    • Deterministic Content Compression: Unlike probabilistic summarization, SWD applies rule-based semiotic analysis to compress web inputs consistently and repeatably, so you get predictable results every time - no stochastic variation between runs.
    • Semantic Integrity Preservation: SWD preserves the full structural coherence of web text and retrieved chunks, ensuring that compressed inputs produce equivalent downstream LLM outputs.
    • Production-Ready Stateless API: Designed for high-throughput ingestion pipelines, SWD operates as a stateless API call that fits into any web-scraping or scraping-to-RAG pipeline with no session management required.
    • AWS Marketplace Billing: Metered billing through AWS Marketplace means usage appears on your existing AWS invoice with no separate procurement process.

    How It Works

    The SWD API sits between your web-scraping layer and your LLM / vector embedding pipeline. When your application crawls or fetches target web content, it sends the payload to the SWD API for dehydration before forwarding the compressed version to your vector store or LLM. The process follows three stages based on Peircean semiotic theory:

    1. Firstness Analysis: Identifies raw qualitative elements and isolates syntactic web redundancies (boilerplates, markup noise).
    2. Secondness Processing: Maps relational structures and removes semantic noise without altering core intent.
    3. Thirdness Synthesis: Reconstructs the compressed content with full structural coherence intact.

    The result is a shorter, cleaner content payload that carries the exact same semantic weight, slashing token counts and lowering inference spend.

    Use Cases

    • RAG Ingestion Pipelines: Compress large web-scraped document repositories before embedding or prompt assembly. By dehydrating content before it enters your vector store, you maximize context window efficiency and reduce per-query inference costs across every retrieval call.
    • Web Scraping and Agentic Browsing: Dehydrate real-time web search and browser agent outputs to feed clean, compressed context directly into LLM agent loops. This is especially valuable for agentic workflows where each browsing step incurs token costs that compound rapidly.
    • Large-Scale Knowledge Base Indexing: Streamline batch processing workloads across enterprise documentation and web archives where cumulative token savings translate directly to lower operational overhead at scale.

    Integration Example

    Integrate SWD seamlessly into your Python ingestion pipeline with a single stateless API call: requests.post("https://api.glixin.com/swd/dehydrate ", headers={"Authorization": "Bearer <API_KEY>", "Content-Type": "application/json"}, json={"url": "https://www.sec.gov/..."} )

    Access the compressed core text and RAG chunks

    dehydrated_data = response.json() print(f"Tokens saved: {dehydrated_data['glixin_meta']['tokens_saved']}")

    Security and Data Handling

    SWD operates as a stateless API, meaning content payloads are processed in real time and are not persisted after the response is returned. For teams handling sensitive or proprietary web content, please contact Glixin directly to discuss specific data handling requirements, encryption standards, and compliance posture before integrating into regulated workflows.

    Complete the Pipeline with Glixin SPD

    Pair SWD with the Glixin SPD (Semiotic Prompt Dehydrator) API to handle runtime prompt compaction alongside web ingestion, creating an end-to-end token reduction workflow across your entire data lifecycle.

    Getting Started

    SWD is available now on AWS Marketplace with metered billing. Subscribe to receive your API key instantly, then integrate SWD as a single stateless API call in your existing pipeline - no infrastructure changes required. The API is designed to slot directly between your scraping layer and your downstream LLM or embedding service.

    To learn more about integration or to discuss your specific use case, visit https://glixin.com  or reach out through the support channels listed on this page.

    Highlights

    • Reduces LLM input tokens by 80%+ using patent-pending Peircean FST semiotic compression that strips redundant web syntax and semantic noise from crawled content while preserving complete structural coherence. Deterministic, rule-based processing ensures safe, predictable outputs suitable for production pipelines - no probabilistic models or non-deterministic behavior in the compression stage.
    • Integrates as a single stateless API call upstream of your LLM to reduce context window token overhead and downstream latency. Compatible with Amazon Bedrock, OpenAI, and Anthropic workflows, Glixin SWD compresses web content and RAG inputs before inference, directly lowering token-based inference costs without requiring changes to your existing model or prompt architecture.
    • Subscribe on AWS Marketplace for instant API key provisioning with metered billing per GGT token unit through your existing AWS invoice. No separate vendor contracts or procurement delays - deploy into your pipeline immediately and pay only for what you process.

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    Glixin SWD - Semiotic Website Compression API for LLMs

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    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (1)

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    Dimension
    Description
    Cost/unit
    GGT Token Unit
    Semiotic content dehydration and token savings unit.
    $0.000006

    Vendor refund policy

    Subscriptions may be cancelled at any time through the AWS Marketplace console. Refunds or billing adjustments are handled in accordance with standard AWS Marketplace cancellation and refund guidelines.

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    Software as a Service (SaaS)

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    Support

    Vendor support

    Contact Support

    For technical support, integration inquiries, or billing questions related to Glixin SWD, email support@glixin.com . You can also visit https://glixin.com  for additional information about the product.

    Scope of Support

    Support covers assistance with API integration, troubleshooting compression issues, account and subscription management, and requesting refunds through AWS Marketplace.

    For urgent issues or questions about your AWS Marketplace subscription, please include your AWS account ID and a description of the problem in your email to help expedite resolution.

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    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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