# StackYard

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

StackYard (stackyard.ai) is a directory and marketplace for AI products, operated by Arty Fishall LLC, a Delaware limited liability company. It lets buyers compare models, agents, infrastructure and developer tools, read reviews tied to verified work emails, and lets AI vendors list products free with optional labeled paid placement. No public developer API, documentation or SDK is published; the site's front end calls an undocumented JSON backend at api.stackyard.ai.

## Kin Score — 7.0 / 100 (minimal)

Scored 2026-11-06 under rubric 0.27.0. Trend: flat (-3.9 from 10.9).

| Facet | Score |
|---|---|
| Discoverability | 44.6 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Access Clarity | 17.1 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 9.1 (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 |
| MCP Tool Quality | na |

## Access

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

## Security (1)

- **Stackyard Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Artificial Intelligence, Marketplace, Directory, Reviews, AI Tools

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