# Artifactos

**Canonical:** https://apis.io/providers/artifactos-studio/  
**Website:** https://artifactos.studio/  
**APIs profiled:** 0

Artifactos provides AI agents for insurance producer societies, enabling automated renewal workflows via WhatsApp. The platform offers agents that detect policy expirations, gather quotes from multiple insurers, and draft renewal messages, all approved by the producer before sending. It aims to prevent missed renewals and streamline communication, with features like secure data handling, approval workflows, and exportable records.

## Kin Score — 5.8 / 100 (minimal)

Scored 2026-11-06 under rubric 0.27.0. Trend: flat (-2.7 from 8.5).

| Facet | Score |
|---|---|
| Discoverability | 48.2 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 8.3 |
| Access Clarity | 5.3 |

Regulatory layer — **Insurance**: 4.9 (matched via tags).

## 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 |
| 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)

- **Artifactos Studio Domain Security** — TLSv1.3 · HSTS · DNSSEC

## Plans (1)

- **Artifactos Studio Plans Pricing**

## Tags

Insurance, Artificial Intelligence, Automation, WhatsApp, Latin America

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