# Bordet

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

Bordet provides a multi‑LLM boardroom platform where multiple AI models such as Claude, GPT, Gemini and Grok collaborate with users in shared rooms. It offers persistent shared memory, an auditable decisions log, and flexible pricing with free starter access and prepaid credit packs. The service emphasizes data privacy, model‑agnostic integration, and team collaboration, targeting AI‑enhanced business workflows.

## Kin Score — 14.5 / 100 (emerging)

Scored 2026-11-06 under rubric 0.27.0.

| Facet | Score |
|---|---|
| Discoverability | 48.2 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 1.2 |
| Access Clarity | 47.4 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 14.5 (matched via fallback).

## Agent readiness — 21.8 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | documented |
| Auth Clarity | served |
| 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 | served |
| Protected Resource Metadata | verified |
| Dynamic Client Registration | yes |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |
| MCP Tool Quality | na |

## Access

Freemium — onboarding: unknown, pricing: freemium, trial: no (confidence: low).

## Security (1)

- **Bordet Ai Domain Security** — TLSv1.3 · HSTS · DMARC

## Plans (1)

- **Bordet Ai Plans Pricing**

## Tags

Artificial Intelligence, Collaboration, Multi-LLM, Boardroom, Productivity, Company

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