# Deal.ai

**Canonical:** https://apis.io/providers/dealai/  
**Website:** https://home.deal.ai/  
**APIs profiled:** 1

Deal.ai is an all‑in‑one AI platform that provides over 75 AI tools for marketing, content creation, and business growth. It powers applications such as Famous.ai and SuperCool, offering features like AI‑generated podcasts, video creation, copywriting, and website building. Targeted at entrepreneurs and agencies, Deal.ai aims to streamline workflows with a unified interface and supports integrations across various services. The platform emphasizes ease of use, scalability, and a subscription model for continuous AI enhancements.

## Kin Score — 10.3 / 100 (minimal)

Scored 2026-10-23 under rubric 0.25.0.

| Facet | Score |
|---|---|
| Discoverability | 57.1 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 5.3 |
| Developer Ergonomics | 0.0 |
| Access Clarity | 21.1 |

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

## 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 |

## APIs (1)

- **Deal.ai API** — Public API reference page (gated) for Deal.ai platform

## Security (1)

- **Dealai Domain Security** — TLSv1.3 · DMARC

## Tags

Company, Artificial Intelligence, Marketing, Content, Software-as-a-Service, Platform

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