# Faception

**Canonical:** https://apis.io/providers/faception/  
**Website:** https://faception.com  
**APIs profiled:** 0

Faception is an Israeli facial personality analytics company that applies proprietary computer vision and machine learning to analyze facial images from photos, video streams, and cameras, scoring individuals against personality and behavioral classifiers. The company markets its technology to public-safety and smart-city security, fintech, retail, insurance, recruiting, and personal-robotics use cases, and states that it analyzes faces anonymously by storing mathematical classifiers rather than personal identity data. It was added to the API Evangelist network as a portfolio company of 500 Global; at this time it publishes a marketing site and blog but no public API, developer documentation, or machine-readable API surface.

## Kin Score — 5.5 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 5.5).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 2.4 |
| Commercial Clarity | 0.0 |
| Access Clarity | 0.0 |

## 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 |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **Faception Domain Security** — TLSv1.3 · HSTS

## Tags

Company, Facial Recognition, Computer-Vision, Machine-Learning, Biometrics, Personality Analytics, Public Safety, Artificial Intelligence

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