# Mobagel

**Canonical:** https://apis.io/providers/mobagel/  
**Website:** https://mobagel.com  
**APIs profiled:** 0

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.

## Kin Score — 13.2 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 13.2).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| Developer Ergonomics | 11.9 |
| Commercial Clarity | 27.6 |
| Access Clarity | 27.6 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **Mobagel Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Artificial Intelligence, Machine-Learning, AutoML, Data Science, Predictive Analytics, Business Intelligence, MLOps

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/mobagel/). Scores are computed from the provider's own public artifacts under a published rubric.