> For the complete documentation index, see [llms.txt](https://torch-1.gitbook.io/litepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://torch-1.gitbook.io/litepaper/public-goods.md).

# Public goods

The probability map can also be used for public goods and serve as a source of continuous token price signal, offering a high-resolution view of market expectations across time. It could be useful for traders, bots, and researchers, who can consume the map to surface early trends and momentum shifts – visualized or data-driven.

Torch insights are free to read, composable, and updated in real time. The more high-quality participants contribute, the more useful the output becomes for everyone. By aligning individual incentives with collective insight, Torch turns private speculation into a shared prediction system for crypto.


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# Agent Instructions
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## Querying This Documentation
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Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
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