Google TensorFlow

Google TensorFlow is an open-source machine learning framework providing APIs and tools for building, training, and deploying ML models, including TensorFlow Serving for model inference and TensorFlow Hub for reusable model components.

Google TensorFlow publishes 2 APIs on the APIs.io network: Model Status API and Prediction API. Tagged areas include AI, Deep Learning, Google, Machine Learning, and Model Serving.

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

Google TensorFlow’s developer surface includes getting-started guide, pricing, support, engineering blog, and 6 more developer resources.

🌐 Visit website 📡 Source on GitHub

45.1/100 developing ▼ -5.2 Agent 22/100 agent aware Full breakdown ↓
scored 2026-07-28 · rubric v0.6

AccessFree

4 APIs

AIDeep LearningGoogleMachine LearningModel ServingOpen Source

Kin Score

Kin Score How this is scored →
scored 2026-07-28 · rubric v0.6

Composite quality — 45.1/100 · developing

Contract Quality 14.2 / 25

Developer Ergonomics 4.8 / 20

Commercial Clarity 7.9 / 20

Operational Transparency 4.8 / 13

Governance 7.0 / 12

Discoverability 6.5 / 10

Agent readiness — 22/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 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/google-tensorflow: 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 4

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

Rate Limits 1

Documented rate limits and quota policies.

Google Tensorflow Rate Limits

2 limits

RATE LIMITS

FinOps 1

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

JSON Schema 1

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

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

JSONLD

JSONLD

Build 1

SDKs, sample code, and the tooling you integrate with

SDKs

SDKs

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

Support

Support

StatusPage

StatusPage

Commercial 1

Pricing, plans, and the legal terms of use

Pricing

Pricing

Company 2

The organization behind the API

LinkedIn

Blog

Blog

Source (apis.yml)

aid: google-tensorflow
name: Google TensorFlow
description: Google TensorFlow is an open-source machine learning framework providing APIs and tools for building, training,
  and deploying ML models, including TensorFlow Serving for model inference and TensorFlow Hub for reusable model components.
accessModel:
  pricing: free
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Free
  confidence: medium
  source:
  - plans
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/google-tensorflow.png
url: https://raw.githubusercontent.com/api-evangelist/google-tensorflow/refs/heads/main/apis.yml
created: '2026-03-13'
modified: '2026-05-19'
specificationVersion: '0.19'
type: Index
tags:
- AI
- Deep Learning
- Google
- Machine Learning
- Model Serving
- Open Source
apis:
- name: TensorFlow Hub API
  description: TensorFlow Hub provides a repository of reusable trained machine learning models. The API allows developers
    to search, discover, and download pre-trained models and model components (SavedModels, TF.js models, TFLite models) that
    can be reused for transfer learning and inference in new applications.
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://tfhub.dev
  baseURL: https://tfhub.dev
  tags:
  - Models
  - Pre-Trained Models
  - Transfer Learning
  properties:
  - type: Documentation
    url: https://www.tensorflow.org/hub
- name: TensorFlow Model Analysis API
  description: TensorFlow Model Analysis (TFMA) provides tools and APIs for evaluating TensorFlow models. It enables computing
    metrics over large datasets using Apache Beam, slicing evaluation results across different features, and tracking model
    performance over time for validation and monitoring purposes.
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://www.tensorflow.org/tfx/model_analysis/get_started
  baseURL: https://localhost
  tags:
  - Analysis
  - Metrics
  - Model Evaluation
  properties:
  - type: Documentation
    url: https://www.tensorflow.org/tfx/model_analysis/get_started
- aid: google-tensorflow:google-tensorflow-model-status-api
  name: Google TensorFlow Model Status API
  description: Model metadata and status operations
  humanURL: https://www.tensorflow.org/tfx/serving/api_rest
  baseURL: http://localhost:8501
  tags:
  - Model Status
  properties:
  - type: OpenAPI
    url: openapi/google-tensorflow-model-status-api-openapi.yml
  - type: Documentation
    url: https://www.tensorflow.org/tfx/serving/api_rest
  - type: JSONSchema
    url: json-schema/google-tensorflow-predict-request-schema.json
- aid: google-tensorflow:google-tensorflow-prediction-api
  name: Google TensorFlow Prediction API
  description: Model inference operations
  humanURL: https://www.tensorflow.org/tfx/serving/api_rest
  baseURL: http://localhost:8501
  tags:
  - Prediction
  properties:
  - type: OpenAPI
    url: openapi/google-tensorflow-prediction-api-openapi.yml
  - type: Documentation
    url: https://www.tensorflow.org/tfx/serving/api_rest
  - type: JSONSchema
    url: json-schema/google-tensorflow-predict-request-schema.json
common:
- type: AgenticAccess
  url: agentic-access/google-tensorflow-agentic-access.yml
- type: DomainSecurity
  url: security/google-tensorflow-domain-security.yml
- type: LinkedIn
  url: https://www.linkedin.com/showcase/tensorflowdev
- type: GettingStarted
  url: https://www.tensorflow.org/learn
- type: Pricing
  url: https://www.tensorflow.org
- type: SDKs
  url: https://www.tensorflow.org/install
- type: Support
  url: https://www.tensorflow.org/community
- type: StatusPage
  url: https://github.com/tensorflow/tensorflow
- type: JSONLD
  url: json-ld/google-tensorflow-context.jsonld
- url: https://blog.tensorflow.org/feeds/posts/default?alt=rss
  type: Blog
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

Google TensorFlow

Kin Score

APIs 4

TensorFlow Hub API

TensorFlow Model Analysis API

Google TensorFlow Model Status API

Google TensorFlow Prediction API

Open Collections 1

Google TensorFlow TensorFlow Serving REST API

Pricing Plans 1

Google Tensorflow Plans Pricing

Rate Limits 1

Google Tensorflow Rate Limits

FinOps 1

Google Tensorflow Finops

Semantic Vocabularies 1

Google Tensorflow Context

Spectral Rules 1

Google TensorFlow API Rules

JSON Schema 1

TensorFlow Serving Predict Request

Security Posture 1

Google Tensorflow Domain Security

Agentic Access 1

Google Tensorflow Agentic Access

Resources