# HuntBoard

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

HuntBoard is an AI‑powered job search assistant that helps users find their next role. Users upload a CV, which the platform analyses to build a detailed search profile including target job titles, locations, and seniority. HuntBoard then scans public job listings from sources like LinkedIn, Greenhouse, Lever, Ashby, Comeet, Workable, and SmartRecruiters, scoring each match from 0 to 10. The service operates independently and does not sell or share user data, offering privacy‑focused features and a simple board to track applications.

## Kin Score — 7.3 / 100 (minimal)

Scored 2026-11-13 under rubric 0.28.0.

| Facet | Score |
|---|---|
| Discoverability | 35.7 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 7.1 |
| Access Clarity | 17.0 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 7.8 (matched via fallback).

## Agent readiness — 3.1 (human-only)

| 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 | 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).

## Security (1)

- **HuntBoard Domain Security** — TLSv1.3 · DMARC

## Tags

Job Search, ATS Integration, Job Matching

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