# Upwage

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

Upwage is an AI interview platform that helps employers hire faster and more fairly with lower turnover. Its emotionally intelligent AI interviewer conducts 24/7 multilingual candidate screening, scoring competencies consistently to reduce bias in high-volume hiring across retail, healthcare, logistics, and staffing, with ATS integrations including Ashby, Greenhouse, iCIMS, Lever, SmartRecruiters, and Workday. Founded by Diana Tsai and Greg Call and backed by Bloomberg Beta, Upwage publishes a SOC 2 Type 2 trust center with third-party bias audits, but no public developer API surface yet.

## Kin Score — 14.9 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 14.9).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 2.4 |
| Commercial Clarity | 43.4 |
| Access Clarity | 43.4 |

## 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 (2)

- **Upwage Domain Security** — TLSv1.3 · HSTS · DMARC
- **Upwage Trust Center** — SOC 2 Type 2, GDPR, CCPA

## Tags

Company, Hiring, Recruiting, Artificial Intelligence, Human Resources, Talent Acquisition, Interviews

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