# CareerCorner

**Canonical:** https://apis.io/providers/careercorner-ai/  
**Website:** https://careercorner.ai/  
**APIs profiled:** 0

CareerCorner provides an AI‑powered job search coaching platform that helps users define career goals, receive personalized job‑matching strategies, and track applications. The service scans millions of open positions daily, offers resume tailoring, interview preparation, and real‑time market insights, all within an open‑alpha web app. It emphasizes user control, transparency of AI reasoning, and does not submit applications on behalf of users.

## Kin Score — 8.7 / 100 (minimal)

Scored 2026-11-06 under rubric 0.27.0.

| Facet | Score |
|---|---|
| Discoverability | 48.2 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 5.3 |
| Developer Ergonomics | 4.8 |
| Access Clarity | 15.8 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 9.1 (matched via fallback).

## Agent readiness — 6.7 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | documented |
| 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 | verified |
| 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).

## Security (1)

- **Careercorner Ai Domain Security** — TLSv1.3 · DMARC

## Tags

Artificial Intelligence, Job Search, Coaching, Careers, Platform, Company

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