BigML website screenshot

BigML

BigML is a machine learning platform with a comprehensive REST API for creating datasets, training models, making predictions, running batch predictions, and managing ML workflows. The platform supports supervised and unsupervised learning including decision trees, ensembles, deepnets, linear and logistic regression, clustering, anomaly detection, topic models, and time series forecasting.

BigML publishes 15 APIs on the APIs.io network, including Anomaly Detection API, Batch Operations API, Clustering API, and 12 more. Tagged areas include Machine Learning, Artificial Intelligence, Predictions, Datasets, and Models.

The BigML catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.

BigML’s developer surface includes authentication, documentation, engineering blog, pricing, and 10 more developer resources.

🌐 Visit website 📡 Source on GitHub
52.1/100 developing ▬ flat Agent 31/100 agent aware Full breakdown ↓
scored 2026-07-28 · rubric v0.6
AccessFreemiumSelf serve⚡ Free to try
15 APIs
Machine LearningArtificial IntelligencePredictionsDatasetsModelsClusteringAnomaly DetectionTime SeriesDeep Learning

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-28 · rubric v0.6
Composite quality — 52.1/100 · developing
Contract Quality 16.5 / 25
Developer Ergonomics 4.3 / 20
Commercial Clarity 10.0 / 20
Operational Transparency 6.8 / 13
Governance 7.0 / 12
Discoverability 7.4 / 10
Agent readiness — 31/100 · agent aware
Machine-Readable Contract 18 / 18
Agentic Access Contract 10 / 10
MCP Server 0 / 12
Machine-Readable Auth 10 / 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/bigml: 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 15

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

BigML Anomaly Detection API

Detect anomalies in datasets using Isolation Forest

BigML Batch Operations API

Run predictions, centroid assignments, and anomaly scoring on full datasets

BigML Clustering API

Create unsupervised cluster models and assign centroids

BigML Data Connectors API

Connect to external databases and data sources

BigML Datasets API

Create and manage training datasets from sources

BigML Ensembles API

Train and manage ensemble models (random forests, gradient boosted trees)

BigML Evaluations API

Evaluate model performance against a test dataset

BigML Models API

Train and manage decision tree models

BigML Predictions API

Generate individual predictions from trained models

BigML Projects API

Organize resources into projects

BigML Sources API

Upload and manage raw data sources (CSV, JSON, Excel, etc.)

BigML Supervised Learning API

Logistic regression, linear regression, and deep neural network models

BigML Time Series API

Time series forecasting models and forecasts

BigML Unsupervised Learning API

Topic models, association rules, and PCA

BigML WhizzML Scripting API

Automate ML workflows with WhizzML scripts and executions

Scroll for all 15

Pricing Plans 1

Published pricing tiers and plan structures.

Bigml Plans Pricing

4 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Bigml Rate Limits

3 limits

RATE LIMITS

FinOps 1

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

Bigml Finops

FINOPS

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Bigml Context

41 classes · 43 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

BigML API Rules

6 rules · 5 warnings 1 info

SPECTRAL

JSON Schema 1

Standalone JSON Schema definitions for this provider's data models.

BigML Resource

7 properties

JSON SCHEMA

Examples 6

Example request and response payloads for these APIs.

Create Cluster

4 fields

EXAMPLE

Create Dataset

4 fields

EXAMPLE

Create Ensemble

4 fields

EXAMPLE

Create Model

4 fields

EXAMPLE

Create Prediction

4 fields

EXAMPLE

Create Source

4 fields

EXAMPLE

Security Posture 2

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

Bigml Authentication

apiKey · 1 scheme

SECURITY

Bigml Domain Security

TLSv1.3 · DMARC

SECURITY

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Bigml Agentic Access

108 operations · 63 acting

108 operations · 63 acting

AGENTIC

Resources

Documentation 1

Reference material describing how the API behaves

Documentation
Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess
AgenticAccess

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrg
GitHubOrg

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity
 Authentication
Authentication

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
LinkedIn
 Blog
Blog

Other 1

Properties that don't map to a standard resource type

X
X

Source (apis.yml)

apis.yml Raw ↑ 
aid: bigml
name: BigML
description: 'BigML is a machine learning platform with a comprehensive REST API for creating datasets, training models, making
  predictions, running batch predictions, and managing ML workflows. The platform supports supervised and unsupervised learning
  including decision trees, ensembles, deepnets, linear and logistic regression, clustering, anomaly detection, topic models,
  and time series forecasting.

  '
accessModel:
  pricing: freemium
  onboarding: self-serve
  trial: false
  try_now: true
  public: false
  label: Freemium · Self-serve signup
  confidence: high
  source:
  - plans
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/bigml.png
url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/apis.yml
created: '2026-06-13'
modified: '2026-06-13'
specificationVersion: '0.19'
tags:
- Machine Learning
- Artificial Intelligence
- Predictions
- Datasets
- Models
- Clustering
- Anomaly Detection
- Time Series
- Deep Learning
apis:
- aid: bigml:bigml-anomaly-detection-api
  name: BigML Anomaly Detection API
  description: Detect anomalies in datasets using Isolation Forest
  humanURL: https://bigml.com/api/
  baseURL: https://bigml.io
  tags:
  - Anomaly Detection
  properties:
  - type: OpenAPI
    url: openapi/bigml-anomaly-detection-api-openapi.yml
  - type: Documentation
    url: https://bigml.com/api/
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/json-schema/bigml-resource.json
  - type: Vocabulary
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/vocabulary/bigml-vocabulary.yml
  - type: JSONLDContext
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/json-ld/bigml-context.jsonld
- aid: bigml:bigml-batch-operations-api
  name: BigML Batch Operations API
  description: Run predictions, centroid assignments, and anomaly scoring on full datasets
  humanURL: https://bigml.com/api/
  baseURL: https://bigml.io
  tags:
  - Batch Operations
  properties:
  - type: OpenAPI
    url: openapi/bigml-batch-operations-api-openapi.yml
  - type: Documentation
    url: https://bigml.com/api/
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/json-schema/bigml-resource.json
  - type: Vocabulary
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/vocabulary/bigml-vocabulary.yml
  - type: JSONLDContext
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/json-ld/bigml-context.jsonld
- aid: bigml:bigml-clustering-api
  name: BigML Clustering API
  description: Create unsupervised cluster models and assign centroids
  humanURL: https://bigml.com/api/
  baseURL: https://bigml.io
  tags:
  - Clustering
  properties:
  - type: OpenAPI
    url: openapi/bigml-clustering-api-openapi.yml
  - type: Documentation
    url: https://bigml.com/api/
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/json-schema/bigml-resource.json
  - type: Vocabulary
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/vocabulary/bigml-vocabulary.yml
  - type: JSONLDContext
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/json-ld/bigml-context.jsonld
- aid: bigml:bigml-data-connectors-api
  name: BigML Data Connectors API
  description: Connect to external databases and data sources
  humanURL: https://bigml.com/api/
  baseURL: https://bigml.io
  tags:
  - Data Connectors
  properties:
  - type: OpenAPI
    url: openapi/bigml-data-connectors-api-openapi.yml
  - type: Documentation
    url: https://bigml.com/api/
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/json-schema/bigml-resource.json
  - type: Vocabulary
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/vocabulary/bigml-vocabulary.yml
  - type: JSONLDContext
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/json-ld/bigml-context.jsonld
- aid: bigml:bigml-datasets-api
  name: BigML Datasets API
  description: Create and manage training datasets from sources
  humanURL: https://bigml.com/api/
  baseURL: https://bigml.io
  tags:
  - Datasets
  properties:
  - type: OpenAPI
    url: openapi/bigml-datasets-api-openapi.yml
  - type: Documentation
    url: https://bigml.com/api/
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/json-schema/bigml-resource.json
  - type: Vocabulary
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/vocabulary/bigml-vocabulary.yml
  - type: JSONLDContext
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/json-ld/bigml-context.jsonld
- aid: bigml:bigml-ensembles-api
  name: BigML Ensembles API
  description: Train and manage ensemble models (random forests, gradient boosted trees)
  humanURL: https://bigml.com/api/
  baseURL: https://bigml.io
  tags:
  - Ensembles
  properties:
  - type: OpenAPI
    url: openapi/bigml-ensembles-api-openapi.yml
  - type: Documentation
    url: https://bigml.com/api/
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/json-schema/bigml-resource.json
  - type: Vocabulary
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/vocabulary/bigml-vocabulary.yml
  - type: JSONLDContext
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/json-ld/bigml-context.jsonld
- aid: bigml:bigml-evaluations-api
  name: BigML Evaluations API
  description: Evaluate model performance against a test dataset
  humanURL: https://bigml.com/api/
  baseURL: https://bigml.io
  tags:
  - Evaluations
  properties:
  - type: OpenAPI
    url: openapi/bigml-evaluations-api-openapi.yml
  - type: Documentation
    url: https://bigml.com/api/
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/json-schema/bigml-resource.json
  - type: Vocabulary
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/vocabulary/bigml-vocabulary.yml
  - type: JSONLDContext
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/json-ld/bigml-context.jsonld
- aid: bigml:bigml-models-api
  name: BigML Models API
  description: Train and manage decision tree models
  humanURL: https://bigml.com/api/
  baseURL: https://bigml.io
  tags:
  - Models
  properties:
  - type: OpenAPI
    url: openapi/bigml-models-api-openapi.yml
  - type: Documentation
    url: https://bigml.com/api/
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/json-schema/bigml-resource.json
  - type: Vocabulary
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/vocabulary/bigml-vocabulary.yml
  - type: JSONLDContext
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/json-ld/bigml-context.jsonld
- aid: bigml:bigml-predictions-api
  name: BigML Predictions API
  description: Generate individual predictions from trained models
  humanURL: https://bigml.com/api/
  baseURL: https://bigml.io
  tags:
  - Predictions
  properties:
  - type: OpenAPI
    url: openapi/bigml-predictions-api-openapi.yml
  - type: Documentation
    url: https://bigml.com/api/
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/json-schema/bigml-resource.json
  - type: Vocabulary
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/vocabulary/bigml-vocabulary.yml
  - type: JSONLDContext
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/json-ld/bigml-context.jsonld
- aid: bigml:bigml-projects-api
  name: BigML Projects API
  description: Organize resources into projects
  humanURL: https://bigml.com/api/
  baseURL: https://bigml.io
  tags:
  - Projects
  properties:
  - type: OpenAPI
    url: openapi/bigml-projects-api-openapi.yml
  - type: Documentation
    url: https://bigml.com/api/
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/json-schema/bigml-resource.json
  - type: Vocabulary
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/vocabulary/bigml-vocabulary.yml
  - type: JSONLDContext
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/json-ld/bigml-context.jsonld
- aid: bigml:bigml-sources-api
  name: BigML Sources API
  description: Upload and manage raw data sources (CSV, JSON, Excel, etc.)
  humanURL: https://bigml.com/api/
  baseURL: https://bigml.io
  tags:
  - Sources
  properties:
  - type: OpenAPI
    url: openapi/bigml-sources-api-openapi.yml
  - type: Documentation
    url: https://bigml.com/api/
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/json-schema/bigml-resource.json
  - type: Vocabulary
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/vocabulary/bigml-vocabulary.yml
  - type: JSONLDContext
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/json-ld/bigml-context.jsonld
- aid: bigml:bigml-supervised-learning-api
  name: BigML Supervised Learning API
  description: Logistic regression, linear regression, and deep neural network models
  humanURL: https://bigml.com/api/
  baseURL: https://bigml.io
  tags:
  - Supervised Learning
  properties:
  - type: OpenAPI
    url: openapi/bigml-supervised-learning-api-openapi.yml
  - type: Documentation
    url: https://bigml.com/api/
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/json-schema/bigml-resource.json
  - type: Vocabulary
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/vocabulary/bigml-vocabulary.yml
  - type: JSONLDContext
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/json-ld/bigml-context.jsonld
- aid: bigml:bigml-time-series-api
  name: BigML Time Series API
  description: Time series forecasting models and forecasts
  humanURL: https://bigml.com/api/
  baseURL: https://bigml.io
  tags:
  - Time Series
  properties:
  - type: OpenAPI
    url: openapi/bigml-time-series-api-openapi.yml
  - type: Documentation
    url: https://bigml.com/api/
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/json-schema/bigml-resource.json
  - type: Vocabulary
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/vocabulary/bigml-vocabulary.yml
  - type: JSONLDContext
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/json-ld/bigml-context.jsonld
- aid: bigml:bigml-unsupervised-learning-api
  name: BigML Unsupervised Learning API
  description: Topic models, association rules, and PCA
  humanURL: https://bigml.com/api/
  baseURL: https://bigml.io
  tags:
  - Unsupervised Learning
  properties:
  - type: OpenAPI
    url: openapi/bigml-unsupervised-learning-api-openapi.yml
  - type: Documentation
    url: https://bigml.com/api/
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/json-schema/bigml-resource.json
  - type: Vocabulary
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/vocabulary/bigml-vocabulary.yml
  - type: JSONLDContext
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/json-ld/bigml-context.jsonld
- aid: bigml:bigml-whizzml-scripting-api
  name: BigML WhizzML Scripting API
  description: Automate ML workflows with WhizzML scripts and executions
  humanURL: https://bigml.com/api/
  baseURL: https://bigml.io
  tags:
  - WhizzML Scripting
  properties:
  - type: OpenAPI
    url: openapi/bigml-whizzml-scripting-api-openapi.yml
  - type: Documentation
    url: https://bigml.com/api/
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/json-schema/bigml-resource.json
  - type: Vocabulary
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/vocabulary/bigml-vocabulary.yml
  - type: JSONLDContext
    url: https://raw.githubusercontent.com/api-evangelist/bigml/refs/heads/main/json-ld/bigml-context.jsonld
common:
- type: AgenticAccess
  url: agentic-access/bigml-agentic-access.yml
- type: DomainSecurity
  url: security/bigml-domain-security.yml
- type: Authentication
  url: authentication/bigml-authentication.yml
- type: Website
  url: https://bigml.com/
- type: Documentation
  url: https://bigml.com/documentation/
- type: GitHubOrg
  url: https://github.com/bigmlcom
- type: LinkedIn
  url: https://www.linkedin.com/company/bigml-inc
- type: Blog
  url: https://blog.bigml.com/
- type: Pricing
  url: https://bigml.com/pricing
- type: StatusPage
  url: https://status.bigml.com/
- type: X
  url: https://x.com/bigmlcom
- type: Plans
  url: plans/bigml-plans-pricing.yml
- type: RateLimits
  url: rate-limits/bigml-rate-limits.yml
- type: FinOps
  url: finops/bigml-finops.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com