# Prompt Privacy

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

Prompt Privacy is a privacy‑focused platform that helps developers and enterprises manage the handling of AI prompt data. By offering tools to classify, redact, and audit prompts sent to large language models, the company ensures that sensitive information is not inadvertently exposed or stored. Their services include real‑time prompt filtering, compliance reporting, and integrations with major AI providers, enabling organizations to maintain data governance while leveraging generative AI capabilities. Prompt Privacy aims to build trust in AI applications by providing transparent, secure, and customizable privacy controls for prompt engineering workflows.

## Kin Score — 22.2 / 100 (emerging)

Scored 2026-10-23 under rubric 0.25.0.

| Facet | Score |
|---|---|
| Discoverability | 48.2 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 26.3 |
| Developer Ergonomics | 19.0 |
| Access Clarity | 55.3 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 9.1 (matched via fallback).

## Agent readiness — 2.9 (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 | yes |
| 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 |

## Security (1)

- **Promptprivacy Domain Security** — TLSv1.3 · DNSSEC · DMARC

## Plans (1)

- **Promptprivacy Plans Pricing**

## Tags

Company, Artificial Intelligence, Privacy, Data Governance, Compliance

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