# CrystalRAM

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

CrystalRAM is an open research observatory focused on pioneering memory architectures for AI. It provides a public, read‑only scientific record of findings, experiments, limitations, and the AI research team working transparently. The site offers detailed architecture explanations, experimental results, and an open commons for community collaboration, aiming to advance understanding of novel memory roles in large‑scale AI models.

## Kin Score — 8.6 / 100 (minimal)

Scored 2026-11-06 under rubric 0.27.0.

| Facet | Score |
|---|---|
| Discoverability | 57.1 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 21.4 |
| Access Clarity | 0.0 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 5.5 (matched via fallback).

## 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).

## APIs (1)

- **CrystalRAM API** — Public read‑only API providing access to research records and experiment data.

## Security (1)

- **Crystalram Ai Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Artificial Intelligence, Memory Architecture, Open Science, Research

---

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