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.
Index entry only — little beyond a description and a link, and nothing machine-readable enough for an agent to act on without a human reading the site first.
API Evangelist profiles Belts the way a machine reads it — 16 machine-readable artifacts, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Belts scores 13.7/100 (minimal), with a separate agent-readiness read of 0/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Belts
Each block below is one kind of artifact we hold for Belts. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
Features 5
The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.
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 give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.
JSON-LD contexts and semantic vocabularies used across these APIs.
Belts Context
JSON-LDSecurity Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Use Cases 5
What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.
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 tell you where this provider already fits in a stack.
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
Every other property we hold for Belts — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Documentation 1
Reference material describing how the API behaves
Access & Security 1
Authentication, authorization, and security posture
Company 2
The organization behind the API
← All providers · Data indexed from github.com/api-evangelist/belts · machine-readable index on apis.io