# Blomma

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

Blomma is an AI-powered career coaching platform that pairs artificial intelligence with emotional intelligence to act as a private thinking partner for professionals. Through chat-based coaching, guided reflection, goal-setting with built-in accountability, a personal journal, and a growth dashboard, Blomma helps founders, people leaders, and ambitious professionals turn abstract aspirations into concrete, trackable goals, and can personalize coaching from uploaded performance reviews and development plans. It is delivered as a consumer subscription through web and mobile apps, with custom team plans for organizations, and does not currently expose a public developer API.

## Kin Score — 15.4 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 15.4).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 7.1 |
| Commercial Clarity | 44.7 |
| Access Clarity | 44.7 |

## 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)

- **Blomma Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Career Coaching, Artificial Intelligence, Coaching, Professional Development, Emotional Intelligence, Productivity, Consumer Application, HR Tech

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