Maxim AI

aid: maxim
name: Maxim AI
description: Maxim AI is an end-to-end platform for the simulation, evaluation, and observability of AI agents and LLM applications.
  It provides distributed tracing, 50+ pre-built evaluators, offline and online evaluations, no-code agent and workflow builders,
  prompt versioning, dataset management, and real-time monitoring dashboards. Maxim targets engineering and quality teams
  shipping production AI features and is available as cloud-hosted SaaS, hybrid (VPC peering), or self-hosted (zero-touch
  VPC isolation). The company monetizes through tiered SaaS plans and enterprise licenses.
type: Index
accessModel:
  pricing: free
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Free
  confidence: medium
  source:
  - plans
  generated: '2026-07-22'
  method: derived
position: Provider
access: 3rd-Party
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/maxim.png
tags:
- Artificial Intelligence
- LLM
- Agents
- Observability
- Evaluation
- Simulation
- Tracing
- Prompts
- Datasets
- Monitoring
- Voice
- OpenTelemetry
url: https://raw.githubusercontent.com/api-evangelist/maxim/refs/heads/main/apis.yml
created: '2026-05-23'
modified: '2026-05-23'
specificationVersion: '0.20'
apis:
- aid: maxim:maxim-api
  name: Maxim AI API
  description: The Maxim REST API provides programmatic access to prompts, workflows, agents, datasets, evaluators, test runs,
    logging, tracing, models, alerts, and log repositories. It supports OpenTelemetry-compatible ingestion and is paired with
    Python and TypeScript SDKs.
  humanURL: https://www.getmaxim.ai/docs
  baseURL: https://api.getmaxim.ai
  tags:
  - LLM
  - Agents
  - Evaluation
  - Tracing
  - Observability
  - Prompts
  - Datasets
  properties:
  - type: Documentation
    url: https://www.getmaxim.ai/docs
  - type: GettingStarted
    url: https://www.getmaxim.ai/docs/introduction/quickstart/quickstart
  - type: Signup
    url: https://app.getmaxim.ai/sign-up
  - type: SDKs
    url: https://github.com/maximhq/maxim-py
  - type: SDKs
    url: https://github.com/maximhq/maxim-js
  - type: GitHubRepository
    url: https://github.com/maximhq/maxim-cookbooks
  - type: Pricing
    url: https://www.getmaxim.ai/pricing
  - type: Authentication
    url: https://www.getmaxim.ai/docs/introduction/quickstart/quickstart
  features:
  - name: Distributed Tracing
    description: Capture spans, generations, retrievals, tool calls, and sessions across multi-step agent runs.
  - name: 50+ Pre-Built Evaluators
    description: Use AI-powered, programmatic, statistical, and voice-based evaluators out of the box, or build custom ones
      via SDK.
  - name: Offline and Online Evaluations
    description: Run dataset-driven test suites pre-deploy and apply auto-evaluation to live logs in production.
  - name: No-Code Agent Builder
    description: Visually compose multi-agent workflows with conditional logic, loops, and HTTP endpoint agents.
  - name: Prompt Management
    description: Version prompts, manage partials, and roll out conditional deployments with automated optimization.
  - name: Datasets and Synthetic Data
    description: Curate datasets, attach files, generate synthetic samples, and manage splits and columns.
  - name: Voice Agent Simulation
    description: Simulate voice agent conversations and evaluate them with voice-aware metrics.
  - name: Real-Time Dashboards and Alerts
    description: Build custom dashboards over logs and trigger Slack and PagerDuty alerts on quality regressions.
  - name: OpenTelemetry Support
    description: Ingest spans via OTLP from any OTEL-instrumented service.
  - name: Self-Hosted and Hybrid Deployments
    description: Run Maxim in your own VPC with zero-touch or data-plane peering modes.
  useCases:
  - name: Agent Quality Engineering
    description: Evaluate, simulate, and monitor production agents across releases.
  - name: Prompt Optimization
    description: A/B test and tune prompts against curated datasets.
  - name: Voice AI Observability
    description: Trace and evaluate voice agents built on ElevenLabs, OpenAI Realtime, and LiveKit.
  - name: RAG Evaluation
    description: Measure retrieval relevance and groundedness on large datasets.
  - name: Compliance and Audit
    description: Enterprise audit logging and human annotation workflows for regulated industries.
  integrations:
  - name: OpenAI
  - name: Anthropic
  - name: Google Gemini
  - name: Mistral
  - name: Groq
  - name: Together AI
  - name: Fireworks
  - name: xAI Grok
  - name: Cerebras
  - name: OpenRouter
  - name: LangChain
  - name: LangGraph
  - name: CrewAI
  - name: LlamaIndex
  - name: Pydantic AI
  - name: Vercel AI SDK
  - name: AWS Bedrock
  - name: LiteLLM
  - name: Portkey
  - name: ElevenLabs
  - name: LiveKit
  - name: Google ADK
  - name: OpenTelemetry
  - name: Slack
  - name: PagerDuty
  authentication:
  - type: API Key
    description: Maxim API keys are generated in the workspace settings and passed on each request; SAML SSO (Google, Okta)
      and 2FA are available for dashboard access.
common:
- type: TrustCenter
  url: security/maxim-trust-center.yml
- type: DomainSecurity
  url: security/maxim-domain-security.yml
- type: Website
  url: https://www.getmaxim.ai
- type: Documentation
  url: https://www.getmaxim.ai/docs
- type: Blog
  url: https://www.getmaxim.ai/blog
- type: GitHubOrganization
  url: https://github.com/maximhq
- type: Pricing
  url: https://www.getmaxim.ai/pricing
- type: TermsOfService
  url: https://www.getmaxim.ai/terms
- type: PrivacyPolicy
  url: https://www.getmaxim.ai/privacy
- type: X
  url: https://x.com/getmaximai
- type: LinkedIn
  url: https://www.linkedin.com/company/maxim-ai
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com