Mobagel

MoBagel is an AI and automated machine learning (AutoML) company founded in 2015 and headquartered in San Jose, California, with offices across seven global locations. Its flagship Decanter AI platform lets business users build machine learning models and generate predictions without a data science background, spanning AutoML, automated time-series forecasting (AutoTSF), MLOps, DataOps, and a generative-BI suite (Generative BI, Generative ETL, Generative Expert) now surfaced through the 8ndpoint product and a family of vertical AI agents for marketing, supply chain, finance, and manufacturing. MoBagel exposes Decanter AI programmatically through an official first-party Python SDK (decanter-ai-sdk) that authenticates with an API key and drives data upload, model training, and prediction. Backed by 500 Global.

Mobagel is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine Learning, AutoML, and Data Science.

Mobagel’s developer surface includes support and 8 more developer resources.

🌐 Visit website 📡 Source on GitHub
16.5/100 emerging ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
0 APIs
CompanyArtificial IntelligenceMachine LearningAutoMLData SciencePredictive AnalyticsBusiness IntelligenceMLOps

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 16.5/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 2.2 / 20
Commercial Clarity 6.8 / 20
Operational Transparency 0.7 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
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 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 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/mobagel: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Security Posture 1

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

Mobagel Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Login
Login

Build 3

SDKs, sample code, and the tooling you integrate with

Packages
Packages
 SDKs
SDKs
 GitHubOrganization
GitHubOrganization

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support
Support

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService
TermsOfService
 PrivacyPolicy
PrivacyPolicy

Company 1

The organization behind the API

Website
Website

Source (apis.yml)

apis.yml Raw ↑ 
aid: mobagel
name: Mobagel
description: MoBagel is an AI and automated machine learning (AutoML) company founded in 2015 and headquartered in San Jose,
  California, with offices across seven global locations. Its flagship Decanter AI platform lets business users build machine
  learning models and generate predictions without a data science background, spanning AutoML, automated time-series forecasting
  (AutoTSF), MLOps, DataOps, and a generative-BI suite (Generative BI, Generative ETL, Generative Expert) now surfaced through
  the 8ndpoint product and a family of vertical AI agents for marketing, supply chain, finance, and manufacturing. MoBagel
  exposes Decanter AI programmatically through an official first-party Python SDK (decanter-ai-sdk) that authenticates with
  an API key and drives data upload, model training, and prediction. Backed by 500 Global.
url: https://raw.githubusercontent.com/api-evangelist/mobagel/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
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Artificial Intelligence
- Machine Learning
- AutoML
- Data Science
- Predictive Analytics
- Business Intelligence
- MLOps
image: https://cdn.prod.website-files.com/67205451fb764a57c45b16fd/6837ce4db49cc91f524bfb72_logo%20m.png
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/mobagel-domain-security.yml
- type: Website
  url: https://mobagel.com
- type: Packages
  url: packages/mobagel-packages.yml
- type: SDKs
  url: packages/mobagel-packages.yml
- type: GitHubOrganization
  url: https://github.com/MoBagel
- type: Login
  url: https://app.8ndpoint.com
- type: Support
  url: https://us.mobagel.com/contact
- type: TermsOfService
  url: https://us.mobagel.com/terms-of-service
- type: PrivacyPolicy
  url: https://us.mobagel.com/privacy-policy
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 2
  pass: local-v1