# Meerkat

**Canonical:** https://apis.io/providers/getmeerkat-dev/  
**Website:** https://getmeerkat.dev/  
**APIs profiled:** 0

Meerkat provides a platform to test AI prompts on real large language models before deployment. Users can paste prompts and receive detailed feedback across models like ChatGPT, Claude, and Gemini. The service offers a gallery of example prompts, a pricing page, and documentation for integration. Founded by Lateisha Schmidt, Meerkat aims to streamline prompt engineering and reduce costly model usage.

## Kin Score — 21.2 / 100 (emerging)

Scored 2026-11-13 under rubric 0.28.0.

| Facet | Score |
|---|---|
| Discoverability | 48.2 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 26.2 |
| Access Clarity | 61.7 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 7.3 (matched via fallback).

## Agent readiness — 6.7 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| 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 | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | no |
| Protected Resource Metadata | verified |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |
| MCP Tool Quality | na |

## Access

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

## Security (1)

- **Meerkat Domain Security** — TLSv1.3 · HSTS

## Plans (1)

- **Meerkat Plans Pricing**

## Tags

Artificial Intelligence, Prompt Engineering, Platform, Startups, Meerkat

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