Sharing
SparkyFitness gives you several ways to share your data: with people you trust, with AI assistants and other apps, or as files for your own analysis.
Share with people
Family & friends: invite family members and friends to view or log data on your behalf. Each invitation has its own permission level, from read-only access to full diary management (including managing your symptoms). Set up invitations under Settings → Family Access, and see the full permission matrix in Family & Friends Sharing.
Public sharing: individual foods and exercises can be shared with everyone:
- In the Food Database Manager, open a food's actions and choose Share with public (or Make private)
- In the Exercise Database Manager, the same action is labeled Share Public (or Make Private)
- Public items show up for everyone in food and exercise search under the Public ownership filter, and in meal builders
Share with apps (API keys)
Generate API keys under Settings → Developer & Integrations → API Key Management:
- Press Generate New Key and give it a name
- Choose an Expires In period: Never, 7 Days, 30 Days, 90 Days, or 1 Year
- Choose the Access level:
- Full access: the key can read and write your data
- Read-only: the key can read your data but every write request is rejected (use this for AI assistants and dashboards that only need to look at your data)
- The key is shown once: copy it to a secure place
- Each key in the list shows its scope badge, created date, expiry, and last-used time, and you can disable or delete it at any time
Keys are the credential for the MCP Server, which lets AI assistants read and act on your data. See that page for how to connect a client.
Export your data
- Full data export: under Settings → Profile & Account → Data Export, download everything as CSV (choose comma or semicolon as the separator)
- Per-table exports: every table in Reports has a Download (CSV) button, and the Prescriber-Ready Data Export card adds a Print / Save PDF Report for a doctor-ready summary
- Import: the Data Import section in the same area can import a food database or food diary from CSV, so you can bring history from other tools.