# llmlatency-dev

**Canonical:** https://apis.io/providers/llmlatency-dev/  
**Website:** https://llmlatency.dev/  
**APIs profiled:** 1

llmlatency-dev provides tools and services focused on measuring and optimizing latency for large language model (LLM) deployments. The platform offers APIs that allow developers to benchmark response times, monitor performance across different model versions, and receive actionable insights to reduce latency in production environments. By integrating with popular LLM providers, it helps improve user experience and cost efficiency for AI-driven applications.

## Kin Score — 10.9 / 100 (minimal)

Scored 2026-10-31 under rubric 0.25.0.

| Facet | Score |
|---|---|
| Discoverability | 65.0 |
| Contract Quality | 0.0 |
| Contract Governance | 4.5 |
| Operational Transparency | 21.1 |
| Developer Ergonomics | 9.5 |
| Access Clarity | 0.0 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 10.0 (matched via fallback).

## Agent readiness — 6.0 (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 | 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 |

## APIs (1)

- **AI Latency Tracker API** — Read-only API providing latency and uptime metrics for various LLM providers.

## MCP servers (1)

- **llmlatency-dev MCP Server** — Remote MCP server at llmlatency.dev.

## Security (1)

- **Llmlatency Dev Domain Security** — TLSv1.3 · DNSSEC · DMARC

## Tags

Company, AI, Latency, Monitoring, Performance

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