# Appyai

**Canonical:** https://apis.io/providers/appyai/  
**Website:** https://appy.ai/  
**APIs profiled:** 0

Appyai provides AI-driven analytics and automation solutions for businesses, enabling data-driven decision making through advanced machine learning models, real-time insights, and customizable dashboards. Founded by a collective of experienced entrepreneurs, the company focuses on delivering scalable, secure, and easy-to-integrate APIs that empower developers to embed intelligent features into their applications. Backed by founder-collective, Appyai aims to accelerate digital transformation across industries.

## Kin Score — 34.1 / 100 (thin)

Scored 2026-10-31 under rubric 0.25.0.

| Facet | Score |
|---|---|
| Discoverability | 48.2 |
| Contract Quality | 0.0 |
| Contract Governance | 18.2 |
| Operational Transparency | 15.8 |
| Developer Ergonomics | 23.8 |
| Access Clarity | 92.1 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 27.3 (matched via fallback).

## Agent readiness — 30.4 (agent-ready)

| 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 | yes |
| Consent Identity | no |
| Agent Card | conformant |
| Dry Run Mode | no |
| Delegated Identity | served |
| Protected Resource Metadata | verified |
| Dynamic Client Registration | yes |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |

## Security (2)

- **Appyai Domain Security** — TLSv1.3 · HSTS · DNSSEC · DMARC
- **Appyai Trust Center** — SOC 2, ISO 27001, HIPAA, GDPR

## Plans (1)

- **Appyai Plans Pricing**

## Tags

Company, AI, Analytics, Automation, Machine-Learning

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