# Compredict

**Canonical:** https://apis.io/providers/compredict/  
**Website:** https://compredict.ai  
**APIs profiled:** 1

Compredict is a German deep‑tech company pioneering AI‑powered virtual sensor technology for the automotive industry. Founded as a spin‑off from TU Darmstadt, it transforms raw vehicle sensor data into trusted physical signals using software‑defined virtual sensors, enabling hardware‑free insights across automotive, manufacturing, defense, robotics, and agriculture sectors.

## Kin Score — 7.3 / 100 (minimal)

Scored 2026-11-06 under rubric 0.27.0. Trend: flat (-3.1 from 10.4).

| Facet | Score |
|---|---|
| Discoverability | 58.0 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| 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).

## APIs (1)

- **Compredict API** — Compredict provides AI‑powered virtual sensor data via API (no public machine‑readable spec discovered).

## Security (1)

- **Compredict Domain Security** — TLSv1.2 · DMARC

## Tags

Company, Artificial Intelligence, Automotive, Sensors, Virtual

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