# Flato.ai

**Canonical:** https://apis.io/providers/flato-ai/  
**Website:** https://flato.ai/  
**APIs profiled:** 1

Flato gives AI agents and human editors an editable canvas to continuously create, refine, animate, and export presentations from rough draft to ready-to-present. It offers a native canvas runtime for AI design, supporting multi-format output, cross‑modal design, and programmable AI design workflows, enabling both agents and users to collaborate on AI‑generated presentations.

## Kin Score — 22.7 / 100 (emerging)

Scored 2026-11-13 under rubric 0.28.0.

| Facet | Score |
|---|---|
| Discoverability | 66.1 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 31.0 |
| Access Clarity | 51.1 |

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

## Agent readiness — 18.2 (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 | no |
| 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).

## APIs (1)

- **Flato MCP** — Flato MCP provides an API for AI agents to create, inspect, and update editable Flato canvas projects.

## Security (1)

- **Flato.ai Domain Security** — TLSv1.3

## Plans (1)

- **Flato.ai Plans Pricing**

## Tags

Artificial Intelligence, Presentation, Canvas, Design, MCP

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