> ## Documentation Index
> Fetch the complete documentation index at: https://vicewire.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Overview

> ViceWire is an alt-data vendor that turns publicly available web and mainstream media into per-ticker, machine-readable features for investment and trading workflows. It extracts company-specific events, maps them to the relevant business surface, tracks novelty, scores tone and directional implications, captures company relevance and event-linked geography, and distinguishes confirmed developments from sourced reporting and rumor. 

<Columns cols={2}>
  <Card title="Who it's for" icon="people-group" colorLight="#FFFDA8" colorDark="#407272">
    * **Hedge funds**
    * **Portfolio managers**
    * **Quants**
    * **Analysts**
  </Card>

  <Card title="Coverage & delivery" icon="earth-americas" colorLight="#FFFDA8" colorDark="#407272">
    * **10k+ public sources**, tiered by quality
    * **15-minute refresh cadence**
    * **History from 2024 to present**
  </Card>

  <Card title="What you get" icon="database" colorLight="#FFFDA8" colorDark="#407272">
    * **Company-specific event taxonomies**
    * **Novelty and deduplication signals**
    * **Entity Relevance signals**
    * **Ticker mapping**
    * **Directional and sentiment layers**
    * **Revision and taxonomy versioning**
  </Card>

  <Card title="Licensing & compliance" icon="file-certificate" colorLight="#FFFDA8" colorDark="#407272">
    * **Public-source derived**
    * **No full-text redistribution**
    * **Analytical features and metadata only**
    * **Source attribution and takedown support**
  </Card>
</Columns>

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  ViceWire's current offering is focused exclusively on Apple (`AAPL`) only. This concentrated scope allows us to develop, test, and refine the event model, business-surface mapping, and workflow with a high degree of depth and rigor before expanding coverage more broadly.

  That broader rollout is already in progress, with expansion underway to more than 50 U.S. megacap stocks, including `GOOG`, `TSLA`, `AMD`, `NVDA`, and many others.
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