llmlatency-dev

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.

llmlatency-dev is listed with 1 API on the APIs.io network. Tagged areas include Company, AI, Latency, Monitoring, and Performance.

llmlatency-dev’s developer surface includes changelog, API reference, engineering blog, and 9 more developer resources.

🌐 Visit website📡 Profile data on GitHub
10.9/100 minimal Agent 6/100 agent aware Full breakdown ↓
scored 2026-10-31 · rubric v0.25.0 · Show this score on your site →
1 API 1 MCP Servers
CompanyAILatencyMonitoringPerformance

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-10-31 · rubric v0.25.0
Composite quality — 10.9/100 · minimal
Contract Quality 0.0 / 21
Developer Ergonomics 1.6 / 17
Access Clarity 0.0 / 17
Operational Transparency 2.3 / 11
Contract Governance 0.5 / 10
Discoverability 5.5 / 9
Regulatory Posture 1.5 / 15
Agent readiness — 6/100 · agent aware
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 10
Documented Reversibility 0 / 6
MCP Server 12 / 12
Machine-Readable Auth 0 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 4 / 4
Consent & Bot Identity 0 / 3
A2A Agent Card 0 / 8
Dry-Run / Simulate Mode 0 / 4
Delegated User Identity 0 / 6
Protected Resource Metadata 0 / 5
Registration Without a Human 0 / 6
Agentic Commerce Well-Known Document 0 / 5
Pagination 5 / 5
Distinct Operations 3 / 3
Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.
Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.
The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.
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Agent readiness — checks not met, largest first (exact, from this profile):
  • Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
  • Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
  • Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
  • Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
  • A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
  • Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
11 more unmet checks in the Agent Readiness table above.
Kin Score — facets with the most composite points still available (weight × headroom):
Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/llmlatency-dev/apis.yml: open an issue on github.com/api-evangelist/llmlatency-dev to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

AI Latency Tracker API

Read-only API providing latency and uptime metrics for various LLM providers.

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

llmlatency-dev MCP Server

Remote MCP server at llmlatency.dev.

MCP SERVER

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Llmlatency Dev Domain Security

TLSv1.3 · DNSSEC · DMARC

SECURITY

Resources

Documentation 1

Reference material describing how the API behaves

APIReference
APIReference

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt
LLMsTxt
 MCPServer
MCPServer
 WellKnown
WellKnown

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conformance
Conformance

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization
GitHubOrganization

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity

Operate 1

Status, limits, changes, and where to get help

ChangeLog
ChangeLog

Company 2

The organization behind the API

Website
Website
 Blog
Blog

Other 2

Properties that don't map to a standard resource type

Hosts
Hosts
 Vendors
Vendors

Source (apis.yml)

apis.yml Raw ↑ 
aid: llmlatency-dev
name: llmlatency-dev
image: https://llmlatency.dev/og.png
description: 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.
url: https://artifacts.apis.io/llmlatency-dev/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-31 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-10-30'
modified: '2026-10-30'
tags:
- Company
- AI
- Latency
- Monitoring
- Performance
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Conformance
  url: conformance/llmlatency-dev-conformance.yml
- type: LLMsTxt
  url: llms/llmlatency-dev-llms.txt
- type: MCPServer
  url: mcp/llmlatency-dev-mcp.yml
- type: WellKnown
  url: well-known/llmlatency-dev-well-known.yml
- type: Hosts
  url: hosts/llmlatency-dev-hosts.yml
- type: Vendors
  url: vendors/llmlatency-dev-vendors.yml
- type: GitHubOrganization
  url: https://github.com/mazamaka
- type: ChangeLog
  url: https://llmlatency.dev/changelog
- type: DomainSecurity
  url: security/llmlatency-dev-domain-security.yml
- type: Website
  url: https://llmlatency.dev/
- type: APIReference
  url: https://llmlatency.dev/openapi.json
- type: Blog
  url: https://llmlatency.dev/blog
apis:
- name: AI Latency Tracker API
  description: Read-only API providing latency and uptime metrics for various LLM providers.
  humanURL: https://llmlatency.dev/
  baseURL: https://llmlatency.dev
  aid: llmlatency-dev:ai-latency-tracker-api
x-enrichment:
  date: '2026-10-31'
  status: enriched
  artifacts_added: 13
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

llmlatency-dev API — frequently asked questions

Does llmlatency-dev have an API?

Yes. APIs.io lists 1 API from llmlatency-dev, including AI Latency Tracker API.

Does llmlatency-dev have an MCP server?

Yes. APIs.io lists 1 MCP server for llmlatency-dev: Remote MCP server at llmlatency.dev.

Is the llmlatency-dev API ready for AI agents?

llmlatency-dev has a Kin Score of 10.9 out of 100 (minimal) and an Agent Readiness score of 6.0 (agent-aware), scored by API Evangelist on 2026-10-31.

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