MonkeyLearn website screenshot

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.

29.8/100 thin ▬ flat Agent 19/100 agent aware Full breakdown ↓
scored 2026-08-05 · rubric v0.9.1
AccessFreemium
1 APIs
Text AnalysisMachine LearningSentiment AnalysisNatural Language ProcessingText ClassificationKeyword ExtractionArtificial Intelligence

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-08-05 · rubric v0.9.1
Composite quality — 29.8/100 · thin
Contract Quality 8.1 / 25
Developer Ergonomics 2.2 / 20
Commercial Clarity 10.0 / 20
Operational Transparency 2.7 / 13
Governance 0.0 / 12
Discoverability 6.9 / 10
Agent readiness — 19/100 · agent aware
Machine-Readable Contract 18 / 18
Agentic Access Contract 0 / 10
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
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.

MonkeyLearn API

REST API for text analysis including sentiment analysis, keyword extraction, topic classification, and custom ML model training. Supports classifiers and extractors with Token-b...

Pricing Plans 1

Published pricing tiers and plan structures.

Plans

3 plans

PLANS

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.

Finops

FINOPS

Security Posture 1

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

Monkeylearn Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Documentation 1

Reference material describing how the API behaves

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 1

Authentication, authorization, and security posture

Operate 2

Status, limits, changes, and where to get help

Commercial 3

Pricing, plans, and the legal terms of use

Company 3

The organization behind the API

Other 1

Properties that don't map to a standard resource type

Source (apis.yml)

apis.yml Raw ↑
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: '0.19'
tags:
- 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
  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