Kimola website screenshot

Kimola

Kimola is a market research automation platform that turns customer feedback into research insights. It tracks feedback from social media, reviews, and direct uploads; analyzes it with AI to detect themes, sentiment, and patterns across 30+ languages; and generates executive summaries, customer personas, pain points, and journey maps. Kimola exposes a public REST API for presets (pre-trained classification and entity-extraction models), reports, feedback feeds, query consumption, and subscription usage, plus the Kimola Cognitive API for running text through custom and pre-built classification models and returning tagged predictions with probabilities. Official Python, Node.js, and C# SDKs are published. Kimola is backed by 500 Global.

Kimola publishes 2 APIs on the APIs.io network. Tagged areas include Company, Market Research, Customer Feedback, Text Analytics, and Sentiment Analysis.

Kimola’s developer surface includes documentation, API reference, support, engineering blog, pricing, signup flow, authentication, and 18 more developer resources.

31.8/100 thin ▬ flat Agent 40/100 agent aware Full breakdown ↓
scored 2026-07-27 · rubric v0.5
AccessSelf serve
2 APIs 1 MCP Servers
CompanyMarket ResearchCustomer FeedbackText AnalyticsSentiment AnalysisNatural Language ProcessingConsumer InsightsMachine LearningArtificial Intelligence

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 31.8/100 · thin
Contract Quality 0.0 / 25
Developer Ergonomics 10.9 / 20
Commercial Clarity 8.9 / 20
Operational Transparency 2.7 / 13
Governance 0.0 / 12
Discoverability 9.3 / 10
Agent readiness — 40/100 · 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 7 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 5 / 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/kimola: 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 2

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

Kimola API

REST API for presets (pre-trained classification and entity-extraction models), research reports and their analyses, feedback feeds, query consumption, and subscription usage. A...

Kimola Cognitive API

Text-classification API that runs text against custom and pre-built models and returns matching tags with probabilities (batch up to 100 per request), with multi-language result...

MCP Servers 1

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

kimola-mcp.yml

MCP SERVER

Security Posture 2

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

Kimola Authentication

http · 1 scheme

SECURITY

Kimola Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Build 4

SDKs, sample code, and the tooling you integrate with

Access & Security 2

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 2

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: kimola
name: Kimola
description: Kimola is a market research automation platform that turns customer feedback into research insights. It tracks
  feedback from social media, reviews, and direct uploads; analyzes it with AI to detect themes, sentiment, and patterns across
  30+ languages; and generates executive summaries, customer personas, pain points, and journey maps. Kimola exposes a public
  REST API for presets (pre-trained classification and entity-extraction models), reports, feedback feeds, query consumption,
  and subscription usage, plus the Kimola Cognitive API for running text through custom and pre-built classification models
  and returning tagged predictions with probabilities. Official Python, Node.js, and C# SDKs are published. Kimola is backed
  by 500 Global.
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
image: https://kimola.com/images/kimola-og.webp
url: https://raw.githubusercontent.com/api-evangelist/kimola/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- 500-global
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Market Research
- Customer Feedback
- Text Analytics
- Sentiment Analysis
- Natural Language Processing
- Consumer Insights
- Machine Learning
- Artificial Intelligence
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
apis:
- name: Kimola API
  description: REST API for presets (pre-trained classification and entity-extraction models), research reports and their
    analyses, feedback feeds, query consumption, and subscription usage. Authenticated with an HTTP Bearer API key.
  humanURL: https://github.com/Kimola/api
  baseURL: https://api.kimola.com/v1
  properties:
  - type: Documentation
    url: https://github.com/Kimola/api
  - type: APIReference
    url: https://github.com/Kimola/api
- name: Kimola Cognitive API
  description: Text-classification API that runs text against custom and pre-built models and returns matching tags with probabilities
    (batch up to 100 per request), with multi-language results via ISO 639-1 codes.
  humanURL: https://github.com/Kimola/kimola-cognitive-api-documentation
  baseURL: https://api.kimola.com/v1/cognitive
  properties:
  - type: Documentation
    url: https://github.com/Kimola/kimola-cognitive-api-documentation
  - type: APIReference
    url: https://github.com/Kimola/kimola-cognitive-api-documentation
common:
- type: DomainSecurity
  url: security/kimola-domain-security.yml
- type: Website
  url: https://kimola.com
- type: Documentation
  url: https://github.com/Kimola/api
- type: APIReference
  url: https://github.com/Kimola/api
- type: GitHubOrganization
  url: https://github.com/Kimola
- type: Support
  url: https://kimola.com/support
- type: Blog
  url: https://kimola.com/blog
- type: Pricing
  url: https://kimola.com/pricing
- type: SignUp
  url: https://kimola.com/sign-up
- type: Login
  url: https://kimola.com/sign-in
- type: TermsOfService
  url: https://kimola.com/terms-of-service
- type: PrivacyPolicy
  url: https://kimola.com/privacy-policy
- type: StatusPage
  url: https://status.kimola.com/
- type: Packages
  url: packages/kimola-packages.yml
- type: SDKs
  url: packages/kimola-packages.yml
- type: Authentication
  url: authentication/kimola-authentication.yml
- type: ErrorCatalog
  url: errors/kimola-error-codes.yml
- type: Lifecycle
  url: lifecycle/kimola-lifecycle.yml
- type: Conventions
  url: conventions/kimola-conventions.yml
- type: Conformance
  url: conformance/kimola-conformance.yml
- type: DataModel
  url: data-model/kimola-data-model.yml
- type: Examples
  url: examples/kimola-cognitive-examples.yml
- type: MCPServer
  url: mcp/kimola-mcp.yml
- type: LLMsTxt
  url: llms/kimola-llms.txt
- type: AgentSkill
  url: skills/_index.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence