fiddler.ai

Fiddler AI is an enterprise AI Observability and Security platform — an "AI Control Plane" for AI agents, LLM applications, and traditional ML models. It delivers unified monitoring, real-time guardrails (safety, hallucination/faithfulness, and PII/sensitive-data detection), evaluation and experiments, drift and performance tracking, LLM-as-a-Judge custom evaluators, alerting, and governance/compliance across the AI lifecycle. Fiddler exposes a REST API (v3), an official Python client (fiddler-client), OpenTelemetry-native ingestion, and a remote MCP server for agent-native access to observability data.

fiddler.ai is listed with 1 API on the APIs.io network. Tagged areas include Company, AI Observability, Machine Learning, LLM, and Model Monitoring.

The fiddler.ai catalog on APIs.io includes 1 event-driven AsyncAPI specification.

fiddler.ai’s developer surface includes documentation, API reference, getting-started guide, support, engineering blog, pricing, changelog, and 22 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

55.3/100 strong ▬ flat Agent 26/100 agent aware saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessFreemiumSelf serve⚡ Free to try

1 API 1 MCP Servers

Company AI Observability Machine Learning LLM Model Monitoring Guardrails MLOps AI Governance Explainability Agent Observability AI Security

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 55.3/100 · strong

Contract Quality 8.3 / 21

Developer Ergonomics 10.9 / 17

Access Clarity 14.8 / 17

Operational Transparency 3.8 / 11

Contract Governance 1.9 / 10

Discoverability 5.8 / 9

Regulatory Posture 4.1 / 15

Agent readiness — 26/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

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 0 / 7

Typed Event Surface 6 / 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

MCP Tool Quality 6 / 6

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/.

Show this score on your site.

It updates itself when the score changes. Paste this where you link to your API docs:

<a href="https://apis.io/providers/fiddlerai/"><img src="https://apis.io/badge/fiddlerai/card.svg" alt="fiddler.ai on APIs.io — Kin Score by API Evangelist"></a>

Other styles, a README pill and a shields.io endpoint are on the badge page.

Raise your score.

Agent readiness — checks not met, largest first (exact, from this profile):

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
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document

8 more unmet checks in the Agent Readiness table above.

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

Contract Quality scores 39.0 — up to +15.3 composite points
Contract Governance scores 18.2 — up to +9.8 composite points
Operational Transparency scores 34.2 — up to +8.6 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/fiddlerai/apis.yml: open an issue on github.com/api-evangelist/fiddlerai 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
MLOps and AI/ML Infrastructure (LF AI & Data, MLPerf, Kubeflow)	builds-on	17.2 (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.

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Model Context Protocol (MCP)

measured — observed by APIs.io (documented)

APIs 1

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

Fiddler REST API

REST API (v3) for the Fiddler AI Observability platform — projects, models, applications, events, traces/sessions/spans, evaluators, alert rules, guardrails, custom metrics, and...

MCP Servers 1

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

fiddler.ai MCP Server

Remote MCP server over HTTP.

MCP SERVER

fiddler.ai API pricing

Prices published by fiddler.ai, read 2026-10-07 from www.fiddler.ai/pricing. A free plan or tier is listed.

Plan	Price
Free	Free Includes: Real-time guardrails to detect harmful exposure; protects against hallucinations, Toxicity, PII/PHI,
Developer	$0.002 per trace Includes: Everything in Free, plus unified AI observability, custom evaluators, visualization-driven insights,
Enterprise	Contact sales Includes: Everything in Developer, plus enterprise-grade guardrails, scalability, flexible deployment: SaaS, V

Plan details, limits and sources →

Billed by: trace · FinOps profile →

Pricing Plans 1

Published pricing tiers and plan structures.

Fiddlerai Plans Pricing

3 plans

PLANS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Fiddlerai Finops

FINOPS

Event Specifications 1

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

Fiddlerai Alerts Webhooks

ASYNCAPI

Security Posture 3

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

Fiddlerai Authentication

http · 1 scheme

SECURITY

Fiddlerai Domain Security

TLSv1.2 · HSTS · DMARC

SECURITY

Fiddlerai Trust Center

SOC 2 Type II, HIPAA

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

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

Design & Contract 6

Pagination, idempotency, versioning, errors, and events

Conventions

ErrorCatalog

Lifecycle

Conformance

Webhooks

DataModel

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

DomainSecurity

Authentication

Compliance

TrustCenter

Operate 3

Status, limits, changes, and where to get help

Support

Support

ChangeLog

ChangeLog

Deprecation

Deprecation

Commercial 4

Pricing, plans, and the legal terms of use

Plans

Pricing

TermsOfService

PrivacyPolicy

Company 3

The organization behind the API

BlogRSS

BlogRSS

Website

Website

Blog

Blog

Source (apis.yml)

aid: fiddlerai
name: fiddler.ai
description: Fiddler AI is an enterprise AI Observability and Security platform — an "AI Control Plane" for AI agents, LLM
  applications, and traditional ML models. It delivers unified monitoring, real-time guardrails (safety, hallucination/faithfulness,
  and PII/sensitive-data detection), evaluation and experiments, drift and performance tracking, LLM-as-a-Judge custom evaluators,
  alerting, and governance/compliance across the AI lifecycle. Fiddler exposes a REST API (v3), an official Python client
  (fiddler-client), OpenTelemetry-native ingestion, and a remote MCP server for agent-native access to observability data.
url: https://raw.githubusercontent.com/api-evangelist/fiddlerai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- insight-partners
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: freemium
  onboarding: self-serve
  trial: false
  try_now: true
  public: false
  gated: none
  gated_source:
  - onboarding
  label: Freemium · Self-serve signup
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-10-06'
image: ''
x-docs-platform: mintlify
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-03
tags:
- Company
- AI Observability
- Machine Learning
- LLM
- Model Monitoring
- Guardrails
- MLOps
- AI Governance
- Explainability
- Agent Observability
- AI Security
tags_raw:
- Company
- AI Observability
- Machine Learning
- LLM
- Model Monitoring
- Guardrails
- MLOps
- AI Governance
- Explainability
- Agent Observability
- AI Security
- Machine-Learning
apis:
- name: Fiddler REST API
  description: REST API (v3) for the Fiddler AI Observability platform — projects, models, applications, events, traces/sessions/spans,
    evaluators, alert rules, guardrails, custom metrics, and jobs. Resource-oriented URLs, JSON envelopes, Bearer auth.
  humanURL: https://docs.fiddler.ai/api/rest-api/rest-api
  baseURL: https://demo.fiddler.ai/v3
  tags:
  - AI Observability
  - Guardrails
  - Monitoring
  properties:
  - type: Documentation
    url: https://docs.fiddler.ai/api
  - type: APIReference
    url: https://docs.fiddler.ai/api/rest-api/rest-api
  - type: Authentication
    url: authentication/fiddlerai-authentication.yml
  - type: Conventions
    url: conventions/fiddlerai-conventions.yml
  - type: ErrorCatalog
    url: errors/fiddlerai-problem-types.yml
  - type: DataModel
    url: data-model/fiddlerai-data-model.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/fiddlerai-plans-pricing.yml
- url: https://www.fiddler.ai/blog/rss.xml
  type: BlogRSS
- type: DomainSecurity
  url: security/fiddlerai-domain-security.yml
- type: Website
  url: https://www.fiddler.ai/
- type: DeveloperPortal
  url: https://docs.fiddler.ai/developers
- type: Documentation
  url: https://docs.fiddler.ai
- type: APIReference
  url: https://docs.fiddler.ai/api/rest-api/rest-api
- type: GettingStarted
  url: https://docs.fiddler.ai/product-guide/getting-started
- type: Support
  url: https://www.fiddler.ai/contact-sales
- 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: TermsOfService
  url: https://www.fiddler.ai/terms-of-use
- type: PrivacyPolicy
  url: https://www.fiddler.ai/privacy-policy
- type: ChangeLog
  url: https://docs.fiddler.ai/changelog/
- type: MCPServer
  url: mcp/fiddlerai-mcp.yml
- type: Packages
  url: packages/fiddlerai-packages.yml
- type: SDKs
  url: packages/fiddlerai-packages.yml
- type: Authentication
  url: authentication/fiddlerai-authentication.yml
- type: Conventions
  url: conventions/fiddlerai-conventions.yml
- type: ErrorCatalog
  url: errors/fiddlerai-problem-types.yml
- type: Lifecycle
  url: lifecycle/fiddlerai-lifecycle.yml
- type: Deprecation
  url: https://docs.fiddler.ai/changelog/python-sdk
- type: Conformance
  url: conformance/fiddlerai-conformance.yml
- type: Compliance
  url: https://www.fiddler.ai/security
- type: TrustCenter
  url: https://trust-center.fiddler.ai
- type: Webhooks
  url: asyncapi/fiddlerai-alerts-webhooks.yml
- type: DataModel
  url: data-model/fiddlerai-data-model.yml
- type: LLMsTxt
  url: llms/fiddlerai-llms.txt
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

fiddler.ai API — frequently asked questions

Does fiddler.ai have an API?

Yes. APIs.io lists 1 API from fiddler.ai, including Fiddler REST API.

How do I authenticate with the fiddler.ai API?

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

How much does the fiddler.ai API cost?

fiddler.ai publishes its prices; its Developer plan is $0.002 per trace as of 2026-10-07. APIs.io lists 3 pricing plans for fiddler.ai, with each plan's price, limits and inclusions under Pricing on this page.

Does fiddler.ai have an MCP server?

Yes. APIs.io lists 1 MCP server for fiddler.ai: Remote MCP server over HTTP.

Is the fiddler.ai API ready for AI agents?

fiddler.ai has a Kin Score of 55.3 out of 100 (strong) and an Agent Readiness score of 26.1 (agent-aware), scored by API Evangelist on 2026-11-06.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for providers

9 MCP tools reach this

find_providersBrowse and filter every provider in the catalog.
get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

All 92 tools →

Call it yourself

curl for this page

This provider

curl "https://apis.io/api/v1/providers/fiddlerai"

All providers

curl "https://apis.io/api/v1/providers?limit=25"

Every operation they expose

curl "https://apis.io/api/v1/providers/fiddlerai/operations?limit=25"

How their score was established

curl "https://apis.io/api/v1/providers/fiddlerai/evidence"

Calls without X-API-Key need no key. Calls with it need a paid plan — get a key.

Get an API key

Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.

GitHub Google LinkedIn

A second provider on the same verified email joins the account you already have.