# foodnear.me

**Canonical:** https://apis.io/providers/foodnear-me/  
**Website:** https://foodnear.me/  
**APIs profiled:** 1

Find allergy-aware places to eat in Miami and Jacksonville — curated kitchen notes, hours when we have them, no ads. AI-native restaurant discovery infrastructure. Menu Protocol and Agent Discovery Optimization for the agentic web.

## Kin Score — 24.2 / 100 (emerging)

Scored 2026-11-13 under rubric 0.28.0.

| Facet | Score |
|---|---|
| Discoverability | 56.7 |
| Contract Quality | 9.4 |
| Contract Governance | 22.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 18.3 |
| Access Clarity | 51.1 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 12.7 (matched via fallback).

## Agent readiness — 21.3 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | yes |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | documented |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | unknown |
| 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 | distinct |
| MCP Tool Quality | na |

## Access

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

## APIs (1)

- **foodnear.me API** — foodnear.me API as documented publicly: 4 operations. Contract generated from the documentation by API Evangelist (2026-11-08); not the provider's own document.

## MCP servers (1)

- **foodnear.me MCP Server** — Remote MCP server at foodnear.me.

## Security (1)

- **foodnear.me Domain Security** — TLSv1.3 · HSTS · DNSSEC

## Plans (1)

- **foodnear.me Plans Pricing**

## Tags

Food, Restaurant, Allergy-aware, Miami, Jacksonville

---

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