# Crosschq

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

Crosschq is a hiring intelligence platform that helps talent acquisition and people-analytics teams improve quality of hire. Its cloud product suite spans AI-powered interview agents, automated reference checks, candidate assessment and screening, identity and interview-fraud detection, and quality-of-hire analytics that tie hiring decisions back to on-the-job outcomes. Crosschq connects to major applicant tracking and HCM systems (Workday, SAP SuccessFactors, Greenhouse, iCIMS, Oracle, Lever, Ashby, Bullhorn, and others) through pre-built integrations rather than a public self-service API. Founded in Danville, California, the company is backed by Bessemer Venture Partners and GGV Capital.

## Kin Score — 12.6 / 100 (minimal)

Scored 2026-08-17 under rubric 0.11.0. Trend: flat (+0.0 from 12.6).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 6.5 |
| Commercial Clarity | 31.6 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | 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)

- **Crosschq Domain Security** — TLSv1.3 · HSTS · DMARC
- **Crosschq Trust Center** — trust center published

## Tags

Company, Human Resources, Recruiting, Talent Intelligence, Reference Checking, Hiring, Candidate Assessment, Analytics, Artificial Intelligence, ATS Integration

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