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 is listed with 1 API on the APIs.io network. Tagged areas include Company, Artificial Intelligence, 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 📡 Profile data on GitHub

32.2/100 thin ▬ flat Agent 3/100 human only Front door AI 6/6 dominant saas Full breakdown ↓
scored 2026-10-31 · rubric v0.25.0 · Show this score on your site →

1 API

Company Artificial Intelligence LLM Observability AI Monitoring Evaluation Hallucination Detection LLM Guardrails RAG AI GovernanceTrustworthy AI

Kin Score

Kin Score How this is scored →
scored 2026-10-31 · rubric v0.25.0

Composite quality — 32.2/100 · thin

Contract Quality 0.0 / 21

Developer Ergonomics 12.1 / 17

Access Clarity 8.5 / 17

Operational Transparency 0.6 / 11

Contract Governance 0.0 / 10

Discoverability 5.6 / 9

Regulatory Posture 2.9 / 15

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 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
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
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

12 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Operational Transparency scores 5.3 — up to +12.3 composite points
Contract Governance scores 0.0 — up to +12.0 composite points

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/aimon/apis.yml: open an issue on github.com/api-evangelist/aimon 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 →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Retrieval, Vector and RAG	covered	34.5 (thin)	-	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

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...

Security Posture 3

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

Aimon Authentication

http · 1 scheme

SECURITY

Aimon Domain Security

TLSv1.3 · DMARC

SECURITY

Aimon Trust Center

SOC 2, HIPAA

SECURITY

Resources

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

X-MCPServerCandidate

X-MCPServerCandidate

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: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - security
  - sandbox
  generated: '2026-09-03'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-17'
x-docs-platform: docusaurus
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-09-17
tags:
- Company
- Artificial Intelligence
- LLM Observability
- AI Monitoring
- Evaluation
- Hallucination Detection
- LLM Guardrails
- RAG
- AI Governance
- Trustworthy AI
tags_raw:
- 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: X-MCPServerCandidate
  url: mcp/aimon-mcp.yml
  note: 'Renamed from MCPServer 2026-09-03 (roadmap#247): the manifest self-describes as status: candidate — a tool list derived
    from the published API contracts, not an existing server. The scorer already read the manifest and reported mcp_server
    correctly; the MCPServer type was crediting the artifact-type surfaces with a server that does not exist.'
- 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

AIMon API — frequently asked questions

Does AIMon have an API?

Yes. APIs.io lists 1 API from AIMon, including AIMon API.

How do I authenticate with the AIMon API?

AIMon uses bearer-token authentication (http · 1 scheme). The details are profiled on APIs.io as Aimon Authentication.

Is the AIMon API ready for AI agents?

AIMon has a Kin Score of 32.2 out of 100 (thin) and an Agent Readiness score of 2.5 (human-only), scored by API Evangelist on 2026-10-31.

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