# Cube3.ai

**Canonical:** https://apis.io/providers/cube3-ai/  
**Website:** https://www.cube3.ai/  
**APIs profiled:** 0

Cube3.ai provides an agentic AI platform for financial crime prevention, offering real‑time detection and mitigation of fraud, scams, and cyber threats for large institutions such as banks, fintechs, crypto exchanges, and public sector agencies. Leveraging autonomous AI agents, the service monitors transactions, identifies malicious patterns, and blocks threats before loss occurs, delivering a proactive defense against AI‑powered criminal operations.

## Kin Score — 6.7 / 100 (minimal)

Scored 2026-11-06 under rubric 0.27.0. Trend: flat (-2.7 from 9.4).

| Facet | Score |
|---|---|
| Discoverability | 55.4 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Access Clarity | 10.5 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 9.1 (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).

## Security (1)

- **Cube3 Ai Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Artificial Intelligence, Financial Crime, Fraud Prevention, Cybersecurity

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/cube3-ai/). Scores are computed from the provider's own public artifacts under a published rubric.