# avva

**Canonical:** https://apis.io/providers/avva-chat/  
**Website:** https://avva.chat/  
**APIs profiled:** 0

avva enables professionals to publish the decisions they actually made, creating decision models that AI agents can consult before answering. Built from your past decisions, the platform is ready for any AI to consult, offering free access during beta. It lets experts share how they decide as a Decision Model, allowing AI agents to check one over MCP before they answer.

## Kin Score — 10.1 / 100 (minimal)

Scored 2026-11-06 under rubric 0.27.0. Trend: flat (-4.6 from 14.7).

| Facet | Score |
|---|---|
| Discoverability | 48.3 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 9.5 |
| Access Clarity | 10.5 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 23.6 (matched via fallback).

## Agent readiness — 24.7 (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 | documented |
| 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

Open access — onboarding: open, pricing: unknown, trial: no (confidence: low).

## MCP servers (1)

- **avva MCP Server** — Remote MCP server at avva.chat.

## Security (2)

- **Avva Chat Authentication** — 0 schemes
- **Avva Chat Domain Security** — TLSv1.3 · HSTS · DMARC

## Plans (1)

- **Avva Chat Plans Pricing**

## Tags

Artificial Intelligence, DecisionModel, Expertise, Platform, Barcelona

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