Belts website screenshot

Belts

Belts covers the landscape of APIs, data standards, and digital resources related to conveyor belts and industrial belt systems. This topic encompasses conveyor belt monitoring and predictive maintenance APIs, industrial IoT sensor data for belt condition tracking, and the standards bodies that govern belt conveyor design and safety. Key organizations include CEMA (Conveyor Equipment Manufacturers Association) and ANSI, which define design, installation, and safety standards for belt conveyors used in mining, manufacturing, food processing, and bulk material handling industries.

Belts is profiled on the APIs.io network. Tagged areas include Bulk Material Handling, Condition Monitoring, Conveyor Belts, IIoT, and Industrial Automation.

The Belts catalog on APIs.io includes 1 JSON-LD context.

Belts’ developer surface includes documentation and 3 more developer resources.

13.7/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
0 APIs 5 Features 5 Use Cases
Bulk Material HandlingCondition MonitoringConveyor BeltsIIoTIndustrial AutomationManufacturingMiningPredictive MaintenanceSensors

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 13.7/100 · minimal
Contract Quality 5.2 / 25
Developer Ergonomics 1.7 / 20
Commercial Clarity 0.0 / 20
Operational Transparency 0.0 / 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/belts: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Features 5

Notable capabilities this provider offers.

Conveyor Belt Standards

CEMA and ANSI standards define over 1,500 terms for conveyors, conveyor systems, and allied equipment, covering design, installation, safety codes, dimensions, test methods, and...

Belt Condition Monitoring

Industrial IoT sensor systems monitor conveyor belt condition in real time, tracking parameters such as tension, speed, temperature, alignment, and wear to enable predictive mai...

CEMA Design Standards

ANSI/CEMA Standard No. 402 and related standards establish recommended design and application engineering practices for unit handling and bulk material belt conveyors in mining,...

Industrial Sensor Integration

Conveyor belt monitoring systems integrate with industrial sensors via OPC UA, MQTT, and REST APIs to stream belt health data to SCADA, MES, and cloud analytics platforms.

Predictive Maintenance APIs

Cloud-based predictive maintenance platforms offer APIs for ingesting conveyor belt sensor data, running ML-based failure prediction models, and generating maintenance work orders.

Semantic Vocabularies 1

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

Belts Context

6 classes · 23 properties

JSON-LD

Security Posture 1

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

Belts Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Use Cases 5

What developers build with this provider.

Mining and Bulk Material Transport

Conveyor belt systems transport coal, ore, aggregates, and other bulk materials in mining operations, with API integrations for production monitoring and material tracking.

Food Processing and Packaging

Food-grade conveyor belt systems in processing and packaging facilities require sanitation compliance tracking and production throughput monitoring via SCADA and MES integrations.

Manufacturing Line Automation

Assembly line conveyor belts integrate with manufacturing execution systems and robotics via industrial protocols to coordinate production flow and quality inspection.

Predictive Maintenance

IoT-enabled belt monitoring systems detect early signs of wear, misalignment, and overheating, triggering maintenance alerts and work orders through connected CMMS platforms.

Logistics and Distribution

Sortation conveyors in warehouses and distribution centers integrate with warehouse management systems via API to route packages and track throughput.

Integrations 4

Pre-built integrations with other platforms and tools.

OPC UA

OPC UA is the primary industrial interoperability standard for conveyor belt control systems, enabling real-time data exchange between belt controllers, SCADA, and enterprise sy...

MQTT

MQTT protocol is used for lightweight sensor data streaming from conveyor belt IoT edge devices to cloud-based monitoring and analytics platforms.

SCADA Systems

Supervisory Control and Data Acquisition (SCADA) systems integrate with conveyor belt PLCs and sensors to provide operational visibility and control across industrial facilities.

CMMS Platforms

Computerized Maintenance Management Systems receive predictive maintenance alerts and automatically generate work orders when belt sensor data indicates approaching failure cond...

Resources

Documentation 1

Reference material describing how the API behaves

Access & Security 1

Authentication, authorization, and security posture

Company 2

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: belts
name: Belts
url: https://raw.githubusercontent.com/api-evangelist/belts/refs/heads/main/apis.yml
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
created: '2024-01-15'
modified: '2026-04-19'
type: Index
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/belts.png
specificationVersion: '0.19'
description: Belts covers the landscape of APIs, data standards, and digital resources related to conveyor belts and industrial
  belt systems. This topic encompasses conveyor belt monitoring and predictive maintenance APIs, industrial IoT sensor data
  for belt condition tracking, and the standards bodies that govern belt conveyor design and safety. Key organizations include
  CEMA (Conveyor Equipment Manufacturers Association) and ANSI, which define design, installation, and safety standards for
  belt conveyors used in mining, manufacturing, food processing, and bulk material handling industries.
tags:
- Bulk Material Handling
- Condition Monitoring
- Conveyor Belts
- IIoT
- Industrial Automation
- Manufacturing
- Mining
- Predictive Maintenance
- Sensors
apis: []
common:
- type: DomainSecurity
  url: security/belts-domain-security.yml
- type: Website
  url: https://cemanet.org
  title: CEMA - Conveyor Equipment Manufacturers Association
- type: Website
  url: https://webstore.ansi.org/industry/conveyors/belt-standards
  title: ANSI Conveyor Belt Standards
- type: Documentation
  url: https://cemanet.org/resources/publications/
  title: CEMA Publications and Standards
- type: Features
  data:
  - name: Conveyor Belt Standards
    description: CEMA and ANSI standards define over 1,500 terms for conveyors, conveyor systems, and allied equipment, covering
      design, installation, safety codes, dimensions, test methods, and performance characteristics for belt conveyors.
  - name: Belt Condition Monitoring
    description: Industrial IoT sensor systems monitor conveyor belt condition in real time, tracking parameters such as tension,
      speed, temperature, alignment, and wear to enable predictive maintenance and prevent unplanned downtime.
  - name: CEMA Design Standards
    description: ANSI/CEMA Standard No. 402 and related standards establish recommended design and application engineering
      practices for unit handling and bulk material belt conveyors in mining, food processing, and manufacturing.
  - name: Industrial Sensor Integration
    description: Conveyor belt monitoring systems integrate with industrial sensors via OPC UA, MQTT, and REST APIs to stream
      belt health data to SCADA, MES, and cloud analytics platforms.
  - name: Predictive Maintenance APIs
    description: Cloud-based predictive maintenance platforms offer APIs for ingesting conveyor belt sensor data, running
      ML-based failure prediction models, and generating maintenance work orders.
- type: UseCases
  data:
  - name: Mining and Bulk Material Transport
    description: Conveyor belt systems transport coal, ore, aggregates, and other bulk materials in mining operations, with
      API integrations for production monitoring and material tracking.
  - name: Food Processing and Packaging
    description: Food-grade conveyor belt systems in processing and packaging facilities require sanitation compliance tracking
      and production throughput monitoring via SCADA and MES integrations.
  - name: Manufacturing Line Automation
    description: Assembly line conveyor belts integrate with manufacturing execution systems and robotics via industrial protocols
      to coordinate production flow and quality inspection.
  - name: Predictive Maintenance
    description: IoT-enabled belt monitoring systems detect early signs of wear, misalignment, and overheating, triggering
      maintenance alerts and work orders through connected CMMS platforms.
  - name: Logistics and Distribution
    description: Sortation conveyors in warehouses and distribution centers integrate with warehouse management systems via
      API to route packages and track throughput.
- type: Integrations
  data:
  - name: OPC UA
    description: OPC UA is the primary industrial interoperability standard for conveyor belt control systems, enabling real-time
      data exchange between belt controllers, SCADA, and enterprise systems.
  - name: MQTT
    description: MQTT protocol is used for lightweight sensor data streaming from conveyor belt IoT edge devices to cloud-based
      monitoring and analytics platforms.
  - name: SCADA Systems
    description: Supervisory Control and Data Acquisition (SCADA) systems integrate with conveyor belt PLCs and sensors to
      provide operational visibility and control across industrial facilities.
  - name: CMMS Platforms
    description: Computerized Maintenance Management Systems receive predictive maintenance alerts and automatically generate
      work orders when belt sensor data indicates approaching failure conditions.
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com