Farside Research
Run cited deep research from your chat and ask questions of the finished report, with every claim linked to the passage it came from.
- Brand
- Unknown
- Category
- Pending
- Primary Subcategory
- Pending
Integration details
Description
Farside runs deep research on a question you give it. It plans searches, reads and grades sources, and writes a report where every claim links to the passage that supports it. From Claude you can estimate a run before starting it, start Lite, Standard or Deep research, check progress, search a run's graded sources by quality or domain, ask follow-up questions answered only from that run's evidence, and build a multi-document dossier. Saved research workflows can be listed, started and approved from the chat too. Sign-in uses your Farside account. On the approval screen you pick the workspace, read or run access, and a monthly credit cap for the connection. Research runs, follow-up questions and dossiers use credits from that workspace; estimates, reads and source search do not.
- Integration type
- Connector
- Verification status
Community connector- Platform
- Claude
- Category
- Pending
- Primary Subcategory
- Pending
- Secondary Subcategories
- None listed
- Brand
- Unknown
- Access
- Account required
- First tracked
- 2026-11-12
- Tool count
- 11
- Market
- US
The broad Category that contains the Primary Subcategory.
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is listed.
Claude Connector discovery is coming soon
Community Connectors only appear in Claude’s registry.Once verified, organic discovery begins and we can calculate your score.Read more about Community Connector verification.
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What discovery looks like

Claude can surface verified Connectors when they match a user’s Prompt.
How Claude Connector discovery works
Your Connector will compete to appear for users’ Prompts once Claude verifies it
Competitive lineup
11 tools agents can invoke
Farside Research Claude Connector FAQ
How the directory, categories and Discoverability Score work.
Read the methodologyHow do I improve Farside Research's Claude Connector discoverability?
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.


