# Aoquan

**Canonical:** https://apis.io/providers/aoquan/  
**Website:** https://equityzen.com/company/aoquan  
**APIs profiled:** 1

Auquan (formerly Aoquan) provides agentic AI solutions for institutional finance, automating data collection, analysis, and reporting workflows. Their platform enables finance professionals to reduce manual effort, accelerate decision‑making, and focus on strategic insights across credit, sustainability, and investor relations. The company offers a suite of AI‑driven tools, a sandbox environment, and integrations that streamline complex financial processes.

## Kin Score — 4.6 / 100 (minimal)

Scored 2026-10-23 under rubric 0.25.0. Trend: flat (+0.0 from 4.6).

| Facet | Score |
|---|---|
| Discoverability | 60.7 |
| 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 — 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 |

## APIs (1)

- **Auquan API** — Agentic AI platform API (no public machine‑readable contract discovered)

## Security (1)

- **Aoquan Domain Security** — TLSv1.3 · HSTS · DNSSEC · DMARC

## Tags

Company, Finance, Artificial Intelligence, Automation, Institutional

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