# AIMECH.APP

**Canonical:** https://apis.io/providers/aimech-app/  
**Website:** https://aimech.app/  
**APIs profiled:** 0

AIMECH.APP provides an AI-powered car diagnostics platform that helps users identify vehicle issues through text, photo, or sound inputs. The service offers a free diagnosis with limited queries and paid plans for deeper analysis, including suggested parts and repair cost estimates. It aims to simplify automotive troubleshooting for both DIY owners and professionals, integrating AI insights with real-world repair data.

## Kin Score — 14.0 / 100 (emerging)

Scored 2026-11-06 under rubric 0.27.0. Trend: falling (-5.2 from 19.2).

| Facet | Score |
|---|---|
| Discoverability | 39.3 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 7.1 |
| Access Clarity | 47.4 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 9.8 (matched via fallback).

## Agent readiness — 2.9 (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 | yes |
| 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

Freemium (free trial) — onboarding: unknown, pricing: freemium, trial: yes (confidence: low).

## Security (1)

- **Aimech App Domain Security** — TLSv1.3 · HSTS · DMARC

## Plans (1)

- **Aimech App Plans Pricing**

## Tags

Car Diagnostics, Vehicle Maintenance, Digital Garage, Repair Cost Estimates

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