# GTD Brain

**Canonical:** https://apis.io/providers/gtdbrain-com/  
**Website:** https://gtdbrain.com/  
**APIs profiled:** 0

GTD Brain is an AI‑powered productivity app that helps users implement the Getting Things Done methodology. It captures tasks, lets an AI sort them into next actions, and supports web, iOS and Android platforms. The service aims to provide a calmer way to get things done, offering features like AI‑driven task sorting, weekly reviews, and cross‑platform syncing.

## Kin Score — 18.3 / 100 (emerging)

Scored 2026-11-13 under rubric 0.28.0.

| Facet | Score |
|---|---|
| Discoverability | 58.9 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 9.5 |
| Developer Ergonomics | 7.1 |
| Access Clarity | 42.6 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 23.6 (matched via fallback).

## Agent readiness — 18.7 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | served |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | served |
| Protected Resource Metadata | verified |
| Dynamic Client Registration | yes |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |
| MCP Tool Quality | na |

## Access

Paid — onboarding: unknown, pricing: paid, trial: no (confidence: low).

## Security (2)

- **GTD Brain Domain Security** — TLSv1.3
- **GTD Brain Vulnerability Disclosure** — security.txt · contact published

## Plans (1)

- **GTD Brain Plans Pricing**

## Tags

Productivity, GTD, Artificial Intelligence, Task Management, Cross-Platform

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/gtdbrain-com/). Scores are computed from the provider's own public artifacts under a published rubric.
