# Aevia

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

Aevia provides an AI‑powered assistant for life‑cycle assessment (LCA), enabling users to search LCA literature and databases, build product system models, and run impact assessments. The platform integrates with tools like openLCA and generative AI assistants such as Claude and ChatGPT, offering connectors for data import and export. Aevia offers a free Demo plan with usage credits and optional paid plans for expanded features.

## Kin Score — 10.4 / 100 (minimal)

Scored 2026-11-02 under rubric 0.26.0. Trend: flat (+0.0 from 10.4).

| Facet | Score |
|---|---|
| Discoverability | 44.6 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 6.4 |
| Access Clarity | 21.1 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 18.2 (matched via fallback).

## Agent readiness — 27.9 (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 | unknown |
| Well Known Catalog | yes |
| 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)

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

## Tags

Company, Artificial Intelligence, Life Cycle Assessment, Sustainability, Environmental

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