# Aurentia

**Canonical:** https://apis.io/providers/aurentia-fr/  
**Website:** https://aurentia.fr/  
**APIs profiled:** 0

Aurentia provides AI-powered tools for entrepreneurs to manage, grow, and develop their businesses. Their platform offers modules for forecasting, action planning, market monitoring, branding, and productivity, integrating AI assistants across finance, sales, marketing, and project management. Users can access free trials, customize pricing plans, and leverage resources such as legal tools, domain registration, and graphic design support.

## Kin Score — 11.6 / 100 (emerging)

Scored 2026-11-06 under rubric 0.27.0. Trend: falling (-7.4 from 19.0).

| Facet | Score |
|---|---|
| Discoverability | 48.2 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 7.9 |
| Developer Ergonomics | 1.2 |
| Access Clarity | 26.3 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 16.8 (matched via fallback).

## Agent readiness — 21.8 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | documented |
| Auth Clarity | served |
| 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 | served |
| Protected Resource Metadata | verified |
| Dynamic Client Registration | yes |
| 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)

- **Aurentia Fr Domain Security** — TLSv1.3 · DMARC

## Tags

Artificial Intelligence, Entrepreneurship, Productivity, Tools, Platform, Business

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