# Axamer

**Canonical:** https://apis.io/providers/axamer/  
**Website:** https://menteo.ai  
**APIs profiled:** 0

Axamer is the company behind Menteo (menteo.ai), an AI-agent platform for restaurants and restaurant chains, focused on Latin America. Menteo deploys a team of specialized AI agents for marketing (WhatsApp and email campaigns), 24/7 WhatsApp order taking, loyalty and rewards programs, and customer service, integrating with existing POS systems, delivery platforms, and messaging channels to unify customer data and automate marketing, sales, and retention. Plans start from $149 USD/month with no long-term contract. Surfaced as a portfolio company of 500 Global and added to the API Evangelist network; as of this pass Menteo publishes a public marketing site with Terms of Service and Privacy Policy but no public developer portal, API reference, OpenAPI, or /.well-known discovery surface.

## Kin Score — 9.2 / 100 (minimal)

Scored 2026-08-17 under rubric 0.11.0. Trend: flat (+0.0 from 9.2).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Commercial Clarity | 21.1 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | 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)

- **Axamer Domain Security** — TLSv1.3

## Tags

Company, Artificial Intelligence, AI Agents, Restaurants, Food Service, Customer Engagement, Loyalty, Messaging, WhatsApp, Latin America, SaaS

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