# Hunchful

**Canonical:** https://apis.io/providers/hunchful-io/  
**Website:** https://hunchful.io/  
**APIs profiled:** 1

Hunchful provides a family‑focused calendar and list‑making platform that integrates AI assistance. Users can add tasks like “tyre change Saturday 10” and have them appear in their weekly view, share lists and dinners with family members, and benefit from an AI that helps without serving ads. The service emphasizes portable, revisable AI models that users own, aiming to keep personal data under user control.

## Kin Score — 4.3 / 100 (minimal)

Scored 2026-11-13 under rubric 0.28.0.

| Facet | Score |
|---|---|
| Discoverability | 57.1 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Access Clarity | 0.0 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 5.5 (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

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

## APIs (1)

- **Hunchful API** — Family‑focused calendar and list‑making platform API

## Security (1)

- **Hunchful Domain Security** — TLSv1.3 · HSTS

## Tags

Family, Calendar, Artificial Intelligence, Productivity, Sweden

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