MonkeyLearn

Machine learning text analysis platform with REST APIs for sentiment analysis, keyword extraction, topic classification, and custom ML model training on text data. Now part of Medallia's experience management platform.

MonkeyLearn publishes 1 API on the APIs.io network. Tagged areas include Text Analysis, Machine-Learning, Sentiment Analysis, Natural Language Processing, and Text Classification.

MonkeyLearn’s developer surface includes documentation, engineering blog, pricing, and 9 more developer resources.

🌐 Visit website 📡 Source on GitHub

25.7/100 emerging ▬ flat Agent 16/100 agent aware Full breakdown ↓
scored 2026-08-25 · rubric v0.14.0

AccessFreemium

1 APIs

Text Analysis Machine-Learning Sentiment Analysis Natural Language Processing Text ClassificationKeyword ExtractionArtificial Intelligence

Kin Score

Kin Score How this is scored →
scored 2026-08-25 · rubric v0.14.0

Composite quality — 25.7/100 · emerging

Contract Quality 6.7 / 25

Developer Ergonomics 0.5 / 20

Access Clarity 10.0 / 20

Operational Transparency 1.7 / 13

Contract Governance 0.0 / 12

Discoverability 6.9 / 10

Agent readiness — 16/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 7 / 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 Surface 0 / 5

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/monkeylearn: 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.

Rate Limits 1

Documented rate limits and quota policies.

Rate Limits

0 limits

RATE LIMITS

FinOps 1

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

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrg

GitHubOrg

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

StatusPage

StatusPage

RateLimits

RateLimits

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

Plans

Plans

FinOps

FinOps

Company 3

The organization behind the API

Website

Website

LinkedIn

Blog

Blog

Other 1

Properties that don't map to a standard resource type

Source (apis.yml)

aid: monkeylearn
name: MonkeyLearn
description: Machine learning text analysis platform with REST APIs for sentiment analysis, keyword extraction, topic classification,
  and custom ML model training on text data. Now part of Medallia's experience management platform.
accessModel:
  pricing: freemium
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Freemium
  confidence: medium
  source:
  - plans
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/monkeylearn.png
url: https://raw.githubusercontent.com/api-evangelist/monkeylearn/refs/heads/main/apis.yml
created: '2026-06-13'
modified: '2026-06-13'
specificationVersion: '0.23'
tags:
- Text Analysis
- Machine-Learning
- Sentiment Analysis
- Natural Language Processing
- Text Classification
- Keyword Extraction
- Artificial Intelligence
tags_raw:
- Text Analysis
- Machine Learning
- Sentiment Analysis
- Natural Language Processing
- Text Classification
- Keyword Extraction
- Artificial Intelligence
apis:
- aid: monkeylearn:monkeylearn-api
  name: MonkeyLearn API
  description: REST API for text analysis including sentiment analysis, keyword extraction, topic classification, and custom
    ML model training. Supports classifiers and extractors with Token-based authentication.
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://monkeylearn.com/api/
  baseURL: https://api.monkeylearn.com/v3/
  tags:
  - Text Classification
  - Named Entity Recognition
  - Sentiment Analysis
  - Keyword Extraction
  - Machine-Learning
  tags_raw:
  - Text Classification
  - Named Entity Recognition
  - Sentiment Analysis
  - Keyword Extraction
  - Machine Learning
  properties:
  - type: Documentation
    url: https://monkeylearn.com/api/
  - type: OpenAPI
    url: https://new.monkeylearn.com/api/v3/
  - type: Plans
    url: https://raw.githubusercontent.com/api-evangelist/monkeylearn/refs/heads/main/plans/plans.yml
  - type: RateLimits
    url: https://raw.githubusercontent.com/api-evangelist/monkeylearn/refs/heads/main/rate-limits/rate-limits.yml
  - type: FinOps
    url: https://raw.githubusercontent.com/api-evangelist/monkeylearn/refs/heads/main/finops/finops.yml
common:
- type: DomainSecurity
  url: security/monkeylearn-domain-security.yml
- type: Website
  url: https://monkeylearn.com/
- type: Documentation
  url: https://monkeylearn.com/api/
- type: GitHubOrg
  url: https://github.com/monkeylearn
- type: LinkedIn
  url: https://www.linkedin.com/company/monkeylearn
- type: Blog
  url: https://monkeylearn.com/blog/
- type: Pricing
  url: https://monkeylearn.com/pricing/
- type: StatusPage
  url: https://status.monkeylearn.com/
- type: X
  url: https://twitter.com/monkeylearn
- type: Plans
  url: https://raw.githubusercontent.com/api-evangelist/monkeylearn/refs/heads/main/plans/plans.yml
- type: RateLimits
  url: https://raw.githubusercontent.com/api-evangelist/monkeylearn/refs/heads/main/rate-limits/rate-limits.yml
- type: FinOps
  url: https://raw.githubusercontent.com/api-evangelist/monkeylearn/refs/heads/main/finops/finops.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

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/monkeylearn"

All providers

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

Every operation they expose

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

How their score was established

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

Discovery needs no key. Ratings and market analysis are Pro.

Get an API key

Free tier, no email required.

GitHub Google LinkedIn

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