Rastrum Docs

Mission, problem statement, and why Oaxaca is the right place to start.

What v1.0 ships today: identification cascade, observation logging, social and curation, data export, offline PWA, and privacy.

Six milestones from v0.1 MVP to v2.5 AI assistant over 30 months.

Per-roadmap-item subtask breakdown with status, dependencies, and module references.

Competitive analysis, market sizing, and the specific gap Rastrum fills.

How the pieces fit together — system overview, identification cascade, offline-first sync, and the auth + token surface.

CARE principles, FPIC, Local Contexts Labels, and the CARI advisory council.

~$400K in credits available now, grant pipeline, legal structure, and revenue model.

How to contribute code, data, translations, expert validation, and PITs.

Common questions about installing, identification, audio, privacy, offline, and the API.

What we collect, where it goes, and your right to delete — in plain language.

Acceptable use, per-observation licensing, and how we handle account suspensions.

Privileged-actions surface for admin, moderator, and expert roles. Role model, audit log, and per-action runbooks.

Share your Anthropic credential with friends, capped per month and audited.

Connect AI agents — Claude Desktop, Cursor, OpenClaw, and any MCP-compatible client — directly to your Rastrum data using the Model Context Protocol.

Version history and significant changes in Rastrum.

Community discovery: find observers, experts, and naturalists near you. Filter by country, taxon, and activity.

Camera-trap station management with active periods, trap-night computation, and wildlife detection indices.

Multi-provider AI vision and platform sponsor pools. Anthropic, Vertex, and OpenAI with community credit distribution.

Observation detail page with photo gallery, interactive map, community identifications, and owner management tools.

Public triage SLA dashboard: open issues, median time-to-first-comment over the last 30 days, and recent resolution count.

Every ranked surface in Rastrum, with the inputs it consumes, the time window it considers, and the settings that change its behavior.

Transparent variable rewards: 3 fixed surprise kinds, opt-in toggle, capped at 1 per day. The rules and the catalog are public.