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Fiddler Labs
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.
1 APIs
1 MCP Servers
Company AI Observability ML Monitoring LLM Observability Agentic AI AI Security AI Governance Model Monitoring Explainability Guardrails
On this page
Kin Score
APIs 1
MCP Servers 1
Rate Limits 1
Event Specs 1
Security Posture 3
Resources 29
apis.yml
68 Operational Transparency
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
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
Individual APIs this provider publishes, each with its own machine-readable definition.
Model Context Protocol servers that expose these APIs to AI agents.
Documented rate limits and quota policies.
AsyncAPI definitions for this provider's event-driven and streaming APIs.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
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)
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