2026 Roadmap

Where 3Min API is headed this year. A transparent view of what is shipping, what is in progress, and what we are building next.

3Min API — roadmap.sh
$ 3minapi roadmap --year 2026
[✓] shipped [▶] in progress [ ] planned
──────── Q1 2026 ────────
[✓] 2026-02 Closed Beta
  • └─ Invite-only beta with a hand-picked group of early users
  • └─ Real-world traffic to validate reliability and performance
  • └─ Rapid iteration loop based on direct customer feedback
[✓] 2026-03 General Availability
  • └─ Free and paid plans open to the public
  • └─ Full documentation set and a guided onboarding flow
──────── Q2 2026 ────────
[✓] 2026-04 MCP Support shipped
  • └─ Official Model Context Protocol server live for every endpoint
  • └─ Claude Connect review in progress for native integration
  • └─ ChatGPT Apps review in progress for AI-assistant distribution
  • └─ AI agents can call your 3Min API endpoints as first-class tools
[▶] 2026-Q2 Production hardening & feedback loop
  • └─ Performance and reliability tuning on real production traffic
  • └─ Fast iteration on feedback from early paying customers
  • └─ Tracking MCP review status and Claude Connect / ChatGPT Apps partnerships
  • └─ Smarter operational dashboards and alerting (error patterns, anomaly detection)
  • └─ Cost optimization and edge latency improvements
──────── H2 2026 ────────
[ ] Developer-grade managed backend
  • └─ Per-user isolated SQLite database — no noisy neighbors
  • └─ Richer relational schemas and more expressive API definitions
  • └─ Fully managed SaaS — you never run a container yourself
  • └─ CRUD, auth, file storage, and realtime subscriptions out of the box
  • └─ An extension of our "schema as data" philosophy to a full backend
[ ] Deeper AI assistance
  • └─ Schema design copilot that proposes fields from intent
  • └─ Natural language to endpoint definition conversion
  • └─ AI-driven log analysis with actionable fix suggestions
  • └─ Smart anomaly detection on usage and error patterns
$

Dates reflect current planning and may shift as we learn from production traffic and customer feedback.