# InkTree

**Canonical:** https://apis.io/providers/inktree-ai/  
**Website:** https://inktree.ai/  
**APIs profiled:** 0

InkTree is a voice‑first family storytelling platform that helps users record and preserve family memories through AI‑guided phone calls. The service offers a private archive where parents' voices and stories are captured, stored securely, and can be accessed later. InkTree aims to make intergenerational storytelling easy, accessible, and lasting, leveraging conversational AI to guide callers through meaningful prompts and ensuring the recordings are kept in a secure, private family archive.

## Kin Score — 8.6 / 100 (minimal)

Scored 2026-11-13 under rubric 0.28.0.

| Facet | Score |
|---|---|
| Discoverability | 48.2 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 9.5 |
| Access Clarity | 17.0 |

Regulatory layer — **AI & Biometrics**: 7.8 (matched via residual_tags).

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| 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 | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |
| MCP Tool Quality | na |

## Access

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

## Security (1)

- **InkTree Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Family Stories, Voice AI, Recording, Privacy

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