AIMon

AIMon (AIMon Labs) is an enterprise AI monitoring, evaluation, and governance platform that helps teams ship trustworthy LLM, RAG, and agentic AI applications. Its API and SDKs detect hallucinations and quality issues (instruction adherence, context quality, conciseness, completeness, toxicity) across offline evaluation, continuous production monitoring, and inline/real-time detection. Developers create applications and models, run evaluations and evaluation runs, retrieve evaluation and production metrics, and manage datasets, dataset records, and dataset collections through a REST API (base https://sdkbe-production.aimon.ai) with Bearer API-key authentication, plus official Python and TypeScript SDKs and a LlamaIndex integration. Surfaced as a portfolio company of Bessemer Venture Partners; sector ai-ml.

AIMon publishes 1 API on the APIs.io network. Tagged areas include Company, Ai Ml, LLM Observability, AI Monitoring, and Evaluation.

AIMon’s developer surface includes documentation, getting-started guide, API reference, engineering blog, signup flow, pricing, support, and 14 more developer resources.

🌐 Visit website 📡 Source on GitHub

28.5/100 thin ▬ flat Agent 3/100 human only saas Full breakdown ↓
scored 2026-08-30 · rubric v0.17.2

AccessSelf serve

1 APIs 1 MCP Servers

Company Ai Ml LLM Observability AI Monitoring Evaluation Hallucination Detection LLM Guardrails RAG AI GovernanceTrustworthy AI

Kin Score

Kin Score How this is scored →
scored 2026-08-30 · rubric v0.17.2

Composite quality — 28.5/100 · thin

Contract Quality 0.0 / 25

Developer Ergonomics 14.3 / 20

Access Clarity 6.3 / 20

Operational Transparency 0.3 / 13

Contract Governance 0.0 / 12

Discoverability 7.6 / 10

Agent readiness — 3/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 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 0 / 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 Surface 0 / 5

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/aimon: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 1

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

AIMon API

REST API for AIMon LLM monitoring and evaluation — manage users, models, applications, evaluations and evaluation runs, retrieve evaluation and production metrics, and manage da...

MCP Servers 1

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

Get Started 5

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Login

Sandbox

Sandbox

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

MCPServer

MCPServer

LLMsTxt

LLMsTxt

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

SDKs

SDKs

Access & Security 4

Authentication, authorization, and security posture

TrustCenter

Compliance

Authentication

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

Pricing

Pricing

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: aimon
name: AIMon
description: AIMon (AIMon Labs) is an enterprise AI monitoring, evaluation, and governance platform that helps teams ship
  trustworthy LLM, RAG, and agentic AI applications. Its API and SDKs detect hallucinations and quality issues (instruction
  adherence, context quality, conciseness, completeness, toxicity) across offline evaluation, continuous production monitoring,
  and inline/real-time detection. Developers create applications and models, run evaluations and evaluation runs, retrieve
  evaluation and production metrics, and manage datasets, dataset records, and dataset collections through a REST API (base
  https://sdkbe-production.aimon.ai) with Bearer API-key authentication, plus official Python and TypeScript SDKs and a LlamaIndex
  integration. Surfaced as a portfolio company of Bessemer Venture Partners; sector ai-ml.
url: https://raw.githubusercontent.com/api-evangelist/aimon/refs/heads/main/apis.yml
x-type: company
x-source: bessemer-venture-partners-portfolio
x-tier: stub
x-tier-reason: portfolio-lead
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-17'
tags:
- Company
- Ai Ml
- LLM Observability
- AI Monitoring
- Evaluation
- Hallucination Detection
- LLM Guardrails
- RAG
- AI Governance
- Trustworthy AI
image: https://www.aimon.ai/favicon.ico
apis:
- name: AIMon API
  description: REST API for AIMon LLM monitoring and evaluation — manage users, models, applications, evaluations and evaluation
    runs, retrieve evaluation and production metrics, and manage datasets, records, and dataset collections. Bearer API-key
    auth; version v1 (URI path). Base URL https://sdkbe-production.aimon.ai.
  humanURL: https://docs.aimon.ai
  baseURL: https://sdkbe-production.aimon.ai
  tags:
  - LLM Observability
  - Evaluation
  - Monitoring
  properties:
  - type: Documentation
    url: https://docs.aimon.ai
  - type: GettingStarted
    url: https://docs.aimon.ai/quickstart
  - type: APIReference
    url: https://github.com/aimonlabs/aimon-typescript-sdk/blob/main/api.md
  - type: Authentication
    url: authentication/aimon-authentication.yml
  - type: SDKs
    url: packages/aimon-packages.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: TrustCenter
  url: security/aimon-trust-center.yml
- type: Compliance
  url: https://www.aimon.ai/trust
- type: Website
  url: https://www.aimon.ai/
- type: DeveloperPortal
  url: https://docs.aimon.ai
- type: Documentation
  url: https://docs.aimon.ai
- type: GettingStarted
  url: https://docs.aimon.ai/quickstart
- type: APIReference
  url: https://github.com/aimonlabs/aimon-typescript-sdk/blob/main/api.md
- type: Blog
  url: https://www.aimon.ai/blog/all
- type: GitHubOrganization
  url: https://github.com/aimonlabs
- type: SignUp
  url: https://app.aimon.ai/?screen=signup
- type: Login
  url: https://app.aimon.ai
- type: Pricing
  url: https://www.aimon.ai/pricing/
- type: PrivacyPolicy
  url: https://aimon.ai/docs/privacy-policy.pdf
- type: Support
  url: https://discord.gg/Cp6YZ9qTdm
- type: Packages
  url: packages/aimon-packages.yml
- type: SDKs
  url: packages/aimon-packages.yml
- type: Authentication
  url: authentication/aimon-authentication.yml
- type: Sandbox
  url: sandbox/aimon-sandbox.yml
- type: MCPServer
  url: mcp/aimon-mcp.yml
- type: LLMsTxt
  url: llms/aimon-llms.txt
- type: DomainSecurity
  url: security/aimon-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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