Sony

Sony Group Corporation is a Japanese multinational spanning electronics, gaming, entertainment, image sensors, and financial services. Sony's developer-facing surface includes the Neural Network Libraries (NNabla) deep-learning framework, the Spresense IoT board SDK, Sonyflake distributed ID service, and a portfolio of Go and embedded-Linux open-source tooling maintained on github.com/Sony.

Sony is listed with 4 APIs on the APIs.io network. Tagged areas include Technology, Consumer Electronics, Gaming, Entertainment, and Artificial Intelligence.

The Sony catalog on APIs.io includes 1 JSON-LD context and 2 Spectral governance rulesets.

🌐 Visit website 📡 Profile data on GitHub

17.4/100 emerging ▬ flat Agent 1/100 human only Heartbeat 100/100 alive Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

4 APIs 5 Features 5 Use Cases

Technology Consumer Electronics Gaming Entertainment Artificial Intelligence

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 17.4/100 · emerging

Contract Quality 5.2 / 21

Developer Ergonomics 1.6 / 17

Access Clarity 0.0 / 17

Operational Transparency 0.6 / 11

Contract Governance 2.8 / 10

Discoverability 5.3 / 9

Regulatory Posture 1.5 / 15

Agent readiness — 1/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 7 / 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

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes

12 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Access Clarity scores 0.0 — up to +20.0 composite points
Contract Quality scores 24.4 — up to +18.9 composite points
Developer Ergonomics scores 9.5 — up to +18.1 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/sony/apis.yml: open an issue on github.com/api-evangelist/sony to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
XR & Graphics (XR, 3D, GPU graphics)	standard	57.1	-	1
Broadcast Television (ATSC 3.0 / NEXTGEN TV, HbbTV, DVB)	standard	57.1	-	1
Apple Accessory & Device Ecosystem (MFi, Matter, Apple partners)	standard	57.1	-	1
Wireless and Wired Connectivity Certification (Thread, USB-IF, Wi-Fi Alliance)	standard	57.1	-	1
ENERGY STAR Certified Products (appliances, electronics, data-center equipment, EV chargers, smart thermostats)	standard	57.1	-	1
Vulnerability Disclosure (CVE Numbering Authorities, FIRST member teams; CISA KEV exposure)	standard	57.1	-	1
Hugging Face Hub Organisations	standard	57.1	-	1

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

APIs 4

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

Sony Neural Network Libraries (NNabla)

NNabla is Sony's open-source deep-learning framework with Python and C++ bindings, dynamic and static computation graphs, GPU/CUDA acceleration, and a model format for training ...

Sonyflake Distributed ID Generator

Sonyflake is a Go library producing 63-bit unique IDs inspired by Twitter's Snowflake but tuned for longer machine-ID space and longer lifetime. MIT licensed.

Sony gobreaker Circuit Breaker

gobreaker is a Go implementation of the Circuit Breaker pattern, widely used in microservice resilience designs. MIT licensed.

Sony Spresense SDK

Spresense is Sony's hexa-core Cortex-M4F IoT board powered by the CXD5602 chipset. The Spresense SDK provides NuttX-based C/C++ APIs for multi-GNSS positioning, high-resolution ...

Features 5

Notable capabilities this provider offers.

Deep Learning Framework

NNabla provides dynamic and static computation graphs for training and inference

Distributed ID Generation

Sonyflake mints 63-bit time-ordered unique IDs across distributed nodes

Circuit Breaker Resilience

gobreaker brings circuit-breaker resilience to Go microservice fleets

Edge IoT Compute

Spresense delivers hexa-core Cortex-M4F compute with GNSS, audio, and LTE

Open Source Licensing

Sony publishes most libraries under Apache 2.0 or MIT

Semantic Vocabularies 1

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

Sony Context

9 classes · 0 properties

JSON-LD

Spectral Rules 2

Spectral governance rulesets for linting and validating these APIs.

Sony — jsonschema rules

5 rules · 4 warnings 1 info

SPECTRAL

Sony API Rules

3 rules · 1 errors 1 warnings 1 info

SPECTRAL

JSON Schema 2

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

NNabla Network Definition

3 properties

JSON SCHEMA

Sonyflake ID

4 properties

JSON SCHEMA

Examples 1

Example request and response payloads for these APIs.

Sonyflake Id Example

5 fields

EXAMPLE

Security Posture 1

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

Sony Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Use Cases 5

What developers build with this provider.

ML Model Training

Train and deploy deep-learning models with NNabla on GPUs and embedded devices

Globally Unique IDs

Generate guaranteed-unique identifiers for events, orders, and records

Resilient Microservices

Use gobreaker to prevent cascading failures in distributed services

IoT Sensing and Positioning

Build asset tracking, agricultural sensing, and infrastructure inspection with Spresense

Edge AI Inference

Combine NNabla and Spresense to run inference at the edge with low power

Integrations 4

Pre-built integrations with other platforms and tools.

Python Ecosystem

NNabla integrates with NumPy, PyTorch comparators, and ONNX export

Go Ecosystem

Sonyflake and gobreaker are widely adopted Go libraries

Arduino IDE

Spresense ships an Arduino-compatible toolchain in addition to the NuttX SDK

CUDA

NNabla can target NVIDIA CUDA-enabled GPUs for accelerated training

Resources

Get Started 1

Portal, sign-up, and the first successful call

OpenSourcePortal

OpenSourcePortal

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

SpectralRules

SpectralRules

Vocabulary

Vocabulary

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrg

GitHubOrg

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Company 2

The organization behind the API

LinkedIn

Website

Website

Source (apis.yml)

aid: sony
url: https://raw.githubusercontent.com/api-evangelist/sony/refs/heads/main/apis.yml
name: Sony
type: Index
deliveryModel:
  model: unknown
  license_evidence:
    not_product:
    - sony/gobreaker
    - sony/nnabla
    - sony/sonyflake
    - sonydevworld/spresense
  open_source: unknown
  commercial: false
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - repository-not-product
  generated: '2026-09-25'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - security
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/sony.png
tags:
- Technology
- Consumer Electronics
- Gaming
- Entertainment
- Artificial Intelligence
description: Sony Group Corporation is a Japanese multinational spanning electronics, gaming, entertainment, image sensors,
  and financial services. Sony's developer-facing surface includes the Neural Network Libraries (NNabla) deep-learning framework,
  the Spresense IoT board SDK, Sonyflake distributed ID service, and a portfolio of Go and embedded-Linux open-source tooling
  maintained on github.com/Sony.
created: '2026-05-05'
modified: '2026-05-16'
specificationVersion: '0.23'
apis:
- aid: sony:nnabla
  name: Sony Neural Network Libraries (NNabla)
  tags:
  - Machine Learning
  - Deep Learning
  - Open Source
  tags_raw:
  - Machine Learning
  - Deep Learning
  - Open Source
  - Machine-Learning
  - Open-Source
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://nnabla.org/
  properties:
  - url: https://github.com/sony/nnabla
    type: SourceCode
  - url: https://nnabla.readthedocs.io/
    type: Documentation
  - url: https://github.com/sony/nnabla-examples
    type: Examples
  - url: https://pypi.org/project/nnabla/
    type: Package
  - url: json-schema/nnabla-network-schema.json
    type: JSONSchema
  description: NNabla is Sony's open-source deep-learning framework with Python and C++ bindings, dynamic and static computation
    graphs, GPU/CUDA acceleration, and a model format for training and inference. Distributed under Apache 2.0.
- aid: sony:sonyflake
  name: Sonyflake Distributed ID Generator
  tags:
  - Distributed Systems
  - Open Source
  - Identifiers
  tags_raw:
  - Distributed Systems
  - Open Source
  - Identifiers
  - Open-Source
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://github.com/sony/sonyflake
  properties:
  - url: https://github.com/sony/sonyflake
    type: SourceCode
  - url: https://pkg.go.dev/github.com/sony/sonyflake
    type: Documentation
  - url: json-schema/sonyflake-id-schema.json
    type: JSONSchema
  description: Sonyflake is a Go library producing 63-bit unique IDs inspired by Twitter's Snowflake but tuned for longer
    machine-ID space and longer lifetime. MIT licensed.
- aid: sony:gobreaker
  name: Sony gobreaker Circuit Breaker
  tags:
  - Resilience
  - Open Source
  - Microservices
  tags_raw:
  - Resilience
  - Open Source
  - Microservices
  - Open-Source
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://github.com/sony/gobreaker
  properties:
  - url: https://github.com/sony/gobreaker
    type: SourceCode
  - url: https://pkg.go.dev/github.com/sony/gobreaker
    type: Documentation
  description: gobreaker is a Go implementation of the Circuit Breaker pattern, widely used in microservice resilience designs.
    MIT licensed.
- aid: sony:spresense-sdk
  name: Sony Spresense SDK
  tags:
  - IoT
  - Embedded
  - Edge Computing
  - SDK
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://developer.sony.com/spresense/
  properties:
  - url: https://github.com/sonydevworld/spresense
    type: SourceCode
  - url: https://developer.sony.com/spresense/development-guides/
    type: Documentation
  - url: https://www.sony-semicon.com/en/products/spresense/
    type: ProductPage
  description: Spresense is Sony's hexa-core Cortex-M4F IoT board powered by the CXD5602 chipset. The Spresense SDK provides
    NuttX-based C/C++ APIs for multi-GNSS positioning, high-resolution audio, camera capture, and LTE connectivity at the
    edge.
common:
- type: DomainSecurity
  url: security/sony-domain-security.yml
- type: LinkedIn
  url: https://www.linkedin.com/company/sony
- type: Website
  url: https://www.sony.com/
- type: GitHubOrg
  url: https://github.com/Sony
- type: OpenSourcePortal
  url: https://oss.sony.net/
- type: SpectralRules
  url: rules/sony-spectral-rules.yml
- type: Vocabulary
  url: vocabulary/sony-vocabulary.yml
- type: Features
  data:
  - name: Deep Learning Framework
    description: NNabla provides dynamic and static computation graphs for training and inference
  - name: Distributed ID Generation
    description: Sonyflake mints 63-bit time-ordered unique IDs across distributed nodes
  - name: Circuit Breaker Resilience
    description: gobreaker brings circuit-breaker resilience to Go microservice fleets
  - name: Edge IoT Compute
    description: Spresense delivers hexa-core Cortex-M4F compute with GNSS, audio, and LTE
  - name: Open Source Licensing
    description: Sony publishes most libraries under Apache 2.0 or MIT
- type: UseCases
  data:
  - name: ML Model Training
    description: Train and deploy deep-learning models with NNabla on GPUs and embedded devices
  - name: Globally Unique IDs
    description: Generate guaranteed-unique identifiers for events, orders, and records
  - name: Resilient Microservices
    description: Use gobreaker to prevent cascading failures in distributed services
  - name: IoT Sensing and Positioning
    description: Build asset tracking, agricultural sensing, and infrastructure inspection with Spresense
  - name: Edge AI Inference
    description: Combine NNabla and Spresense to run inference at the edge with low power
- type: Integrations
  data:
  - name: Python Ecosystem
    description: NNabla integrates with NumPy, PyTorch comparators, and ONNX export
  - name: Go Ecosystem
    description: Sonyflake and gobreaker are widely adopted Go libraries
  - name: Arduino IDE
    description: Spresense ships an Arduino-compatible toolchain in addition to the NuttX SDK
  - name: CUDA
    description: NNabla can target NVIDIA CUDA-enabled GPUs for accelerated training
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

Sony API — frequently asked questions

Does Sony have an API?

Yes. APIs.io lists 4 APIs from Sony, including Sony Neural Network Libraries (NNabla), Sonyflake Distributed ID Generator and Sony gobreaker Circuit Breaker, and 1 more.

Is the Sony API ready for AI agents?

Sony has a Kin Score of 17.4 out of 100 (emerging) and an Agent Readiness score of 1.3 (human-only), scored by API Evangelist on 2026-11-06.

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