> For the complete documentation index, see [llms.txt](https://docs.ideamarket.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.ideamarket.io/roadmap/partnerships-and-integrations.md).

# Partnerships & Integrations

<table><thead><tr><th width="214">Company</th><th width="248">What they do</th><th>What we'll do together</th></tr></thead><tbody><tr><td>KaratDAO</td><td>Indexing wallets for targeted airdrop campaigns</td><td>Target airdrops based on Ideamarket ratings ("Airdrop my NFT to everyone who rated [post] above [90] before [date]")</td></tr><tr><td>Showkarma.xyz</td><td>Reputation scoring and profiles for DAO members</td><td>Display Ideamarket ratings on Showkarma reputation profiles, so you can see what  DAO members believe</td></tr><tr><td>SciDAO</td><td>DeSci DAO</td><td>SciDAO can experiment with using Ideamarket as the peer review layer of their Article NFTs</td></tr><tr><td>Consensus.app</td><td>Search engine for scientific evidence</td><td>TBD. Possibly: Give a group of scientists an NFT, then do prediction markets based on their collective ratings: “[Post] will be rated above [number] by ScienceNFT holders at [date]"</td></tr><tr><td>RoamResearch</td><td>Personal knowledge graph</td><td>TBD</td></tr><tr><td></td><td></td><td></td></tr></tbody></table>


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.ideamarket.io/roadmap/partnerships-and-integrations.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.