Fiddler Labs website screenshot

Fiddler Labs

Fiddler Labs (Fiddler AI) is an enterprise AI Observability and Security platform that provides unified visibility, context, and control across AI agents, LLM and GenAI applications, and traditional ML models. The Fiddler platform delivers standardized telemetry, evaluation, continuous monitoring, real-time guardrails, and auditable governance from development through production. Developers integrate through a REST API (v3), an official Python client (fiddler-client), framework SDKs (LangChain, LangGraph, OpenTelemetry, Google ADK, Strands, Evals), and a hosted Model Context Protocol (MCP) server that exposes GenAI observability data to AI assistants. Capabilities include model and application onboarding, production event ingestion, drift and integrity detection, custom metrics, segments, alerting, explainability, LLM gateway routing, and trace/span-level agentic observability.

Fiddler Labs publishes 1 API on the APIs.io network. Tagged areas include Company, AI Observability, ML Monitoring, LLM Observability, and Agentic AI.

The Fiddler Labs catalog on APIs.io includes 1 event-driven AsyncAPI specification.

Fiddler Labs’ developer surface includes documentation, API reference, getting-started guide, engineering blog, pricing, signup flow, authentication, and 22 more developer resources.

49.8/100 developing ▬ flat Agent 41/100 agent aware Full breakdown ↓
scored 2026-07-27 · rubric v0.5
AccessSelf serve
1 APIs 1 MCP Servers
CompanyAI ObservabilityML MonitoringLLM ObservabilityAgentic AIAI SecurityAI GovernanceModel MonitoringExplainabilityGuardrails

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 49.8/100 · developing
Contract Quality 5.7 / 25
Developer Ergonomics 13.9 / 20
Commercial Clarity 12.1 / 20
Operational Transparency 8.9 / 13
Governance 0.0 / 12
Discoverability 9.3 / 10
Agent readiness — 41/100 · agent aware
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 12 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 8 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 7 / 7
Typed Event Surface 6 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
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/fiddler-labs: 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.

Fiddler REST API

The Fiddler REST API (v3) is organized around resource-oriented URLs with JSON request/response bodies, Bearer-token authentication, and standard HTTP verbs and status codes. Re...

MCP Servers 1

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

Rate Limits 1

Documented rate limits and quota policies.

Fiddler Labs Rate Limits

2 limits

RATE LIMITS

Event Specifications 1

AsyncAPI definitions for this provider's event-driven and streaming APIs.

Security Posture 3

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

Fiddler Labs Authentication

http · 1 scheme

SECURITY

Fiddler Labs Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Fiddler Labs Trust Center

SOC 2, HIPAA

SECURITY

Resources

Get Started 4

Portal, sign-up, and the first successful call

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Build 3

SDKs, sample code, and the tooling you integrate with

Access & Security 5

Authentication, authorization, and security posture

Operate 3

Status, limits, changes, and where to get help

Commercial 3

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: fiddler-labs
name: Fiddler Labs
description: Fiddler Labs (Fiddler AI) is an enterprise AI Observability and Security platform that provides unified visibility,
  context, and control across AI agents, LLM and GenAI applications, and traditional ML models. The Fiddler platform delivers
  standardized telemetry, evaluation, continuous monitoring, real-time guardrails, and auditable governance from development
  through production. Developers integrate through a REST API (v3), an official Python client (fiddler-client), framework
  SDKs (LangChain, LangGraph, OpenTelemetry, Google ADK, Strands, Evals), and a hosted Model Context Protocol (MCP) server
  that exposes GenAI observability data to AI assistants. Capabilities include model and application onboarding, production
  event ingestion, drift and integrity detection, custom metrics, segments, alerting, explainability, LLM gateway routing,
  and trace/span-level agentic observability.
url: https://raw.githubusercontent.com/api-evangelist/fiddler-labs/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- bloomberg-beta
x-tier: stub
x-tier-reason: portfolio-lead
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: '0.20'
created: '2026-07-17'
modified: '2026-07-19'
image: https://www.fiddler.ai/favicon.ico
tags:
- Company
- AI Observability
- ML Monitoring
- LLM Observability
- Agentic AI
- AI Security
- AI Governance
- Model Monitoring
- Explainability
- Guardrails
apis:
- name: Fiddler REST API
  description: The Fiddler REST API (v3) is organized around resource-oriented URLs with JSON request/response bodies, Bearer-token
    authentication, and standard HTTP verbs and status codes. Resource groups include Projects, Models, Applications, Events,
    Spans, Jobs, Baselines, Segments, Custom Metrics, Alert Rules, Environments, Explainability, Evals & Evaluators, Experiments,
    Queries, FQL Expressions, LLM Gateway, File Upload, and Users & Access Keys.
  humanURL: https://docs.fiddler.ai/api
  baseURL: https://app.fiddler.ai/v3
  properties:
  - type: Documentation
    url: https://docs.fiddler.ai/api
  - type: APIReference
    url: https://docs.fiddler.ai/api/rest-api/rest-api
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: TrustCenter
  url: security/fiddler-labs-trust-center.yml
- type: DomainSecurity
  url: security/fiddler-labs-domain-security.yml
- type: Website
  url: https://www.fiddler.ai/
- type: DeveloperPortal
  url: https://docs.fiddler.ai/
- type: Documentation
  url: https://docs.fiddler.ai/
- type: APIReference
  url: https://docs.fiddler.ai/api
- type: GettingStarted
  url: https://docs.fiddler.ai/first-steps/getting-started-with-agentic-monitoring
- type: Blog
  url: https://www.fiddler.ai/blog
- type: GitHubOrganization
  url: https://github.com/fiddler-labs
- type: Pricing
  url: https://www.fiddler.ai/pricing
- type: SignUp
  url: https://www.fiddler.ai/trial
- type: TermsOfService
  url: https://www.fiddler.ai/terms-of-service
- type: PrivacyPolicy
  url: https://www.fiddler.ai/privacy-policy
- type: Security
  url: https://www.fiddler.ai/security
- type: Compliance
  url: https://www.fiddler.ai/security
- type: Authentication
  url: authentication/fiddler-labs-authentication.yml
- type: Conventions
  url: conventions/fiddler-labs-conventions.yml
- type: RateLimits
  url: rate-limits/fiddler-labs-rate-limits.yml
- type: Lifecycle
  url: lifecycle/fiddler-labs-lifecycle.yml
- type: Deprecation
  url: https://docs.fiddler.ai/changelog
- type: ChangeLog
  url: changelog/fiddler-labs-changelog.yml
- type: ErrorCatalog
  url: errors/fiddler-labs-error-codes.yml
- type: Conformance
  url: conformance/fiddler-labs-conformance.yml
- type: Packages
  url: packages/fiddler-labs-packages.yml
- type: SDKs
  url: packages/fiddler-labs-packages.yml
- type: MCPServer
  url: mcp/fiddler-labs-mcp.yml
- type: LLMsTxt
  url: llms/fiddler-labs-llms.txt
- type: Sandbox
  url: sandbox/fiddler-labs-sandbox.yml
- type: Webhooks
  url: asyncapi/fiddler-labs-webhooks.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence