- Brand
- Unknown
- Category
- Pending
- Primary Subcategory
- Pending
Integration details
Description
Tell Claude your goal race, the date, how much you run now, and your easy pace or a recent race time. AthleteSpace builds the whole plan: every week, every run, training paces from your own fitness, and predicted race times from 5K to marathon or any custom distance up to 100 km. The plan appears as an interactive view in the chat: tap any week to see its sessions. Missed a run? Say so and the plan is rebuilt around it. Plans follow established training principles: Daniels VDOT paces, a progressive build, down weeks and a taper. Everything is calculated, not generated, so the same answers always give the same plan. No account is needed and nothing you send is stored. Open the plan on athletespace.ai to keep it, log runs against it and let it keep adapting.
- Integration type
- Connector
- Verification status
Community connector- Platform
- Claude
- Category
- Pending
- Primary Subcategory
- Pending
- Secondary Subcategories
- None listed
- Brand
- Unknown
- Access
- No account required
- First tracked
- 2026-09-21
- Tool count
- 2
- Geography
- 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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No spam. Unsubscribe any time.
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
2 tools agents can invoke
Athlete Space Claude Connector FAQ
How the directory, categories and Discoverability Score work.
Read the methodologyHow do I improve Athlete Space'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.