# AiAkiv

**Canonical:** https://apis.io/providers/aiakiv-com/  
**Website:** https://www.aiakiv.com/  
**APIs profiled:** 1

AiAkiv is a Korean-language platform that captures the context of AI-assisted work, turning AI-generated memories into searchable, shareable records for teams. It offers features like RAG, memory organization, project management, and integrations with popular models such as ChatGPT, Claude, and Gemini, helping users retain and reuse AI insights across projects.

## Kin Score — 25.6 / 100 (emerging)

Scored 2026-11-01 under rubric 0.26.0.

| Facet | Score |
|---|---|
| Discoverability | 65.0 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 54.8 |
| Access Clarity | 31.6 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 27.3 (matched via fallback).

## Agent readiness — 12.1 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | documented |
| Auth Clarity | bearer |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | documented |
| 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 | verified |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |
| MCP Tool Quality | na |

## APIs (1)

- **AiAkiv Memory API** — AiAkiv's Model Context Protocol (MCP) JSON-RPC API for memory storage and retrieval.

## MCP servers (1)

- **AiAkiv MCP Server** — Remote MCP server at aiakiv.com.

## Security (2)

- **Aiakiv Com Authentication** — 2 schemes
- **Aiakiv Com Domain Security** — TLSv1.3 · DMARC

## Plans (1)

- **Aiakiv Com Plans Pricing**

## Tags

Artificial Intelligence, Knowledge Management, Team Collaboration, Memory, RAG

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