# Cuemarc

**Canonical:** https://apis.io/providers/cuemarc/  
**Website:** https://cuemarc.com/  
**APIs profiled:** 0

Cuemarc provides AI-driven listening and reputation management tools for corporate communications, PR, and marketing teams. Their platform monitors large language model outputs to track narrative visibility, manage brand reputation, and identify content gaps. Offering features like real-time alerts, detailed reports, and actionable insights, Cuemarc helps organizations stay ahead of AI-driven reputational risks across pharma, medtech, and other industries.

## Kin Score — 16.3 / 100 (emerging)

Scored 2026-11-06 under rubric 0.27.0. Trend: falling (-5.9 from 22.2).

| Facet | Score |
|---|---|
| Discoverability | 57.1 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 3.6 |
| Access Clarity | 53.9 |

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

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

## Security (1)

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

## Plans (1)

- **Cuemarc Plans Pricing**

## Tags

Company, Artificial Intelligence, Reputation Management, Marketing, LLM

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