# Lura Project

**Canonical:** https://apis.io/providers/lura-project/  
**Website:** https://luraproject.org/  
**APIs profiled:** 1

The Lura Project is an open-source, ultra-high-performance API Gateway framework hosted under the Linux Foundation. Originally known as the KrakenD framework, it provides an extendable, stateless middleware layer for building API gateways that aggregate multiple backend microservice responses into single endpoints, supporting HTTP/HTTPS, response transformation, filtering, and plugin-based extensibility via Go.

## Kin Score — 17.2 / 100 (emerging)

Scored 2026-08-25 under rubric 0.14.0. Trend: flat (+0.0 from 17.2).

| Facet | Score |
|---|---|
| Discoverability | 68.5 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 36.8 |
| Developer Ergonomics | 11.9 |
| Commercial Clarity | 15.8 |
| Access Clarity | 15.8 |

## Agent readiness — 2.5 (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 | documented |
| 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 |

## Access

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

## APIs (1)

- **Lura Framework** — The Lura Framework is an open-source Go library for building ultra-high-performance API gateways with middleware support. It provides core packages for configuration, routing, p...

## Security (1)

- **Lura Project Domain Security** — TLSv1.3

## Plans (1)

- **Lura Project Plans Pricing**

## Tags

API Gateway, Go, Linux Foundation, Microservices, Open-Source

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