aid: lakera-ai url: https://raw.githubusercontent.com/api-evangelist/lakera-ai/refs/heads/main/apis.yml apis: - aid: lakera-ai:lakera-guard-api name: Lakera Guard API tags: - AI Security - Artificial Intelligence - Guard - Prompt Injection - PII - Content Moderation humanURL: https://docs.lakera.ai/docs/api/guard properties: - url: https://docs.lakera.ai/docs/api/guard type: Documentation - url: https://docs.lakera.ai/docs/quickstart type: GettingStarted - url: https://docs.lakera.ai/api-reference/lakera-api/guard/screen-content type: Documentation - url: openapi/lakera-guard-api-openapi.yml type: OpenAPI - url: json-schema/lakera-guard-request-schema.json type: JSONSchema - url: json-schema/lakera-guard-response-schema.json type: JSONSchema - url: json-structure/lakera-guard-request-structure.json type: JSONStructure - url: json-ld/lakera-ai-context.jsonld type: JSONLD - url: examples/lakera-guard-screen-content-example.json type: Example - url: examples/lakera-guard-results-example.json type: Example - type: NaftikoCapability url: capabilities/guard-screening.yaml description: Lakera Guard's runtime screening API. POST OpenAI-style chat messages to /v2/guard and receive a `flagged` decision based on the policy assigned to the project, with optional per-detector breakdown and payload-level PII/profanity match locations. Detectors cover prompt attacks, data leakage, PII, content violations, and unknown links across 100+ languages with sub-50ms latency. A second endpoint, /v2/guard/results, returns detector confidence levels (L1–L5) for offline analysis and threshold tuning without contributing to runtime screening logs. - aid: lakera-ai:lakera-platform-api name: Lakera Platform API tags: - AI Security - Administration - Policies - Projects - Enterprise humanURL: https://platform.lakera.ai/docs/api properties: - url: https://platform.lakera.ai/docs/api type: Documentation - url: openapi/lakera-platform-api-openapi.yml type: OpenAPI - type: NaftikoCapability url: capabilities/platform-policies.yaml description: The Lakera Platform API lets Enterprise SaaS customers programmatically manage Lakera Guard policies and projects. Policies select detectors and per-detector sensitivity (L1–L5); projects bind a protected application to a policy and an API key scope. Self-hosted deployments expose additional /policies/lint and /policies/health endpoints plus Kubernetes startupz/readyz/livez probes for in-cluster operation. name: Lakera tags: - AI Security - Artificial Intelligence - Generative AI - LLM Security - Prompt Injection - AI Guardrails - AI Red Teaming - Data Loss Prevention - Content Moderation - Check Point kind: contract image: https://kinlane-productions2.s3.amazonaws.com/apis-json/apis-json-logo.jpg access: 3rd-Party common: - type: LinkedIn url: https://www.linkedin.com/company/lakeraai - url: https://www.lakera.ai type: Portal - url: https://docs.lakera.ai type: Documentation - url: https://docs.lakera.ai/docs/api name: API Overview type: Documentation - url: https://docs.lakera.ai/docs/quickstart type: GettingStarted - url: https://docs.lakera.ai/guard name: Introduction to Lakera Guard type: Documentation - url: https://docs.lakera.ai/docs/integration name: Lakera Guard Integration Guide type: Documentation - url: https://docs.lakera.ai/llms.txt name: llms.txt index type: Documentation - url: https://docs.lakera.ai/_mcp/server name: Lakera Docs MCP Server type: MCPServer - url: https://platform.lakera.ai name: Lakera Platform type: Portal - url: https://platform.lakera.ai/pricing name: Pricing type: Pricing - url: https://www.lakera.ai/contact type: Support - url: https://www.lakera.ai/blog type: Blog - url: https://www.lakera.ai/news type: Press - url: https://www.lakera.ai/customers name: Customers type: CaseStudy - url: https://www.lakera.ai/legal/terms type: TermsOfService - url: https://www.lakera.ai/legal/privacy type: PrivacyPolicy - url: https://trust.lakera.ai type: TrustCenter - url: https://gandalf.lakera.ai name: Gandalf (prompt injection game) type: Sandbox - url: https://github.com/lakeraai type: GitHubOrganization - url: https://github.com/lakeraai/pint-benchmark name: PINT Benchmark type: Tool - url: https://github.com/lakeraai/guard-demo-client name: Lakera Guard Demo Client (Python) type: CodeExamples - url: https://github.com/lakeraai/chrome-extension name: Lakera Chrome Extension (ChatGPT Data Leak Protection) type: Tool - url: https://github.com/lakeraai/canica name: Canica Text Embedding Viewer type: Tool - url: https://github.com/lakeraai/dsec-gandalf name: dsec-gandalf type: Tool - url: https://github.com/lakeraai/intent-augmentation name: Intent Augmentation type: Tool - url: https://docs.litellm.ai/docs/proxy/guardrails/lakera_ai name: LiteLLM Lakera Guardrail type: Integration - url: plans/lakera-ai-plans-pricing.yml type: Plans - url: rate-limits/lakera-ai-rate-limits.yml type: RateLimits - url: finops/lakera-ai-finops.yml type: FinOps - url: rules/lakera-rules.yml type: SpectralRules - url: vocabulary/lakera-ai-vocabulary.yml type: Vocabulary - type: Features data: - Lakera Guard — runtime AI security screening for LLM applications with sub-50ms p95 latency - Single-endpoint /v2/guard API following the OpenAI chat completions message format - Detectors for prompt attacks, data leakage, PII, content moderation, and unknown links - 100+ language coverage and multimodal / model-agnostic protection - L1–L5 confidence levels aligned with OWASP paranoia level conventions - Per-detector breakdown and character-level payload match locations for masking - /v2/guard/results endpoint for offline threshold tuning and quality monitoring - Policies and Projects as first-class concepts — central policy control without code changes - SaaS deployment with daily detector model updates and real-time analytics - Self-hosted deployment with bi-weekly model updates and Kubernetes probes - Regional endpoints — Global, US East, US West, EU West, Asia Pacific - Lakera Red — AI red-teaming with direct and indirect attack simulations and risk-based findings - Workforce AI Security — monitors employee AI usage across applications and browsers - AI Agent Security — runtime protection for autonomous agents and tool use - Gandalf — 1M+ player prompt injection challenge feeding detector training signal - PINT Benchmark — open prompt injection detection benchmark on GitHub - LiteLLM, AI gateway, and RAG pipeline integration patterns - MCP server at docs.lakera.ai/_mcp/server for AI client tools - Browser extension (Chrome) for ChatGPT data leak protection - Part of Check Point Software Technologies as of 2025 sources: - https://www.lakera.ai/ - https://docs.lakera.ai/docs/api - https://docs.lakera.ai/docs/api/guard - https://docs.lakera.ai/docs/api/results - https://docs.lakera.ai/docs/quickstart - https://docs.lakera.ai/guard - https://docs.lakera.ai/docs/integration - https://github.com/lakeraai updated: '2026-05-25' created: '2026-05-25T00:00:00.000Z' modified: '2026-05-25' position: Consuming description: Lakera is an AI-native security platform that protects GenAI applications, agents, and workforces from prompt injection, data leakage, PII exposure, content violations, and malicious links. Lakera Guard exposes a single-endpoint runtime screening API (/v2/guard) that accepts OpenAI-style chat messages and returns a flagged decision in sub-50ms; a companion /v2/guard/results endpoint returns L1–L5 detector confidence levels for offline analysis. The Lakera Platform API lets Enterprise customers manage policies (detector sensitivity and action) and projects (per-application bindings) programmatically. Founded in Zurich and acquired by Check Point Software in 2025, Lakera also operates Gandalf, the 1M+ player prompt injection challenge that feeds its detector training pipeline, and publishes the open-source PINT benchmark for prompt injection detection evaluation. maintainers: - FN: Kin Lane email: info@apievangelist.com X: apievangelist url: https://apievangelist.com specificationVersion: '0.16'