Industrial
An index and topic collection covering industrial APIs across industrial IoT (IIoT), operational technology (OT), SCADA, manufacturing, smart factory, asset management, predictive maintenance, energy management, and building automation. This collection profiles industrial cloud platforms (Siemens MindSphere, PTC ThingWorx, AWS IoT SiteWise, AWS IoT TwinMaker, AWS IoT Greengrass, Bosch IoT), historians and asset performance management tools (OSIsoft PI, AspenTech), edge and connector platforms (Litmus, Node-RED, HiveMQ, Aklivity), and the broader ecosystem of automation vendors (Rockwell Automation, Honeywell, Emerson, Schneider Electric) that expose APIs for plant data, equipment telemetry, work orders, and production runs. It anchors the OPC UA, MQTT Sparkplug B, and Modbus protocol family alongside the asset registry, telemetry, maintenance, and production data models that underpin modern industrial integration.
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 Industrial the way a machine reads it — 31 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 — Industrial scores 9.7/100 (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. Every facet and dimension name is a link: it opens that measurement's page on APIs.io, where the rating runs across the whole catalog — the exact checks that feed it, how every profiled provider distributes on it, and who is at the top of it.
Put this on your own site. The badge is drawn live from Industrial's current Kin Score — paste it once and it updates itself every time the score is recomputed. It follows your visitor's light or dark setting, and it links back here so anyone who sees it can read the full breakdown.
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More shapes, themes and sizes → · Score as JSON · How badges work
How we profile Industrial
Each block below is one kind of artifact we hold for Industrial. 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 8
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.
Asset and Equipment Registries
Industrial APIs expose hierarchical asset models for plants, lines, machines, and components, enabling normalized identification and tagging of physical equipment across SCADA, ...
Telemetry Ingestion and Time-Series Storage
Platforms like AWS IoT SiteWise, Amazon Timestream, and OSIsoft PI ingest high-frequency sensor readings from PLCs, gateways, and historians and expose them through query and st...
OPC UA, MQTT, and Sparkplug B Connectivity
Edge gateways and brokers (Litmus, HiveMQ, Aklivity, AWS IoT Greengrass) bridge OT protocols such as OPC UA, MQTT Sparkplug B, and Modbus into cloud-native API surfaces.
Predictive Maintenance and Anomaly Detection
Services like Amazon Lookout for Equipment and Amazon Monitron apply ML to vibration, temperature, and current signals to predict equipment failures and surface maintenance work...
Digital Twins and 3D Operational Context
AWS IoT TwinMaker, Siemens MindSphere, and PTC ThingWorx assemble digital twin graphs that combine real-time telemetry, 3D scenes, and asset metadata into queryable APIs.
Production Runs and Manufacturing Execution
APIs expose work orders, production runs, batch records, OEE, and quality events to coordinate MES, ERP, and shop-floor systems across discrete and process manufacturing.
Energy and Building Automation
Schneider Electric, Honeywell, and Emerson APIs expose meter readings, HVAC controls, and energy-management workflows for industrial and commercial facilities.
Edge Compute and Local Orchestration
AWS IoT Greengrass, Node-RED, and Litmus run containers and flows on industrial gateways, exposing local APIs for protocol translation, store-and-forward, and on-device analytics.
Scroll within the panel for all 8 ·
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.
Industrial Context
JSON-LDJSON Schema 2
Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.
Standalone JSON Schema definitions for this provider's data models.
IndustrialAsset
JSON SCHEMAIndustrialTelemetryReading
JSON SCHEMAJSON Structure 2
JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.
JSON Structure definitions describing this provider's data shapes.
Industrial Asset Structure
JSON STRUCTUREIndustrial Telemetry Reading Structure
JSON STRUCTUREExamples 2
Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.
Example request and response payloads for these APIs.
Industrial Asset Example
EXAMPLEUse Cases 8
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.
Plant-Wide Asset Performance Management
Industrial operators unify asset data from OSIsoft PI, AWS IoT SiteWise, and AspenTech into APIs that power asset performance dashboards, reliability programs, and condition-bas...
Predictive Maintenance for Rotating Equipment
Vibration and current data from pumps, motors, and compressors flows through Amazon Lookout for Equipment or Amazon Monitron APIs to predict failures and trigger work orders in ...
OPC UA to Cloud Telemetry Pipelines
Manufacturers use Litmus, AWS IoT Greengrass, or HiveMQ to map OPC UA tags to MQTT Sparkplug B and stream normalized telemetry through cloud APIs for analytics and digital twins.
Manufacturing Execution and OEE
APIs from PTC ThingWorx, Rockwell FactoryTalk, and Siemens MindSphere expose production runs, downtime events, and OEE metrics to MES dashboards and ERP work-order systems.
Energy Management and Sustainability Reporting
Schneider Electric and Honeywell APIs aggregate sub-meter, HVAC, and process-energy data into normalized feeds for sustainability and carbon-reporting platforms.
Digital Twin Operations
AWS IoT TwinMaker, Siemens MindSphere, and PTC ThingWorx APIs combine 3D scenes, asset hierarchies, and live telemetry for remote operations, training, and root-cause analysis.
Industrial Data Historian Modernization
Operators expose decades of PI System and AspenTech historian data through cloud APIs to power machine learning, anomaly detection, and process-optimization workflows.
Edge Protocol Translation
Edge platforms like Litmus and Node-RED ingest Modbus, EtherNet/IP, and serial protocols at the gateway and republish them as MQTT, OPC UA, or REST APIs for upstream systems.
Scroll within the panel for all 8 ·
Integrations 8
Pre-built integrations with other platforms tell you where this provider already fits in a stack.
Pre-built integrations with other platforms and tools.
AWS IoT SiteWise
Managed industrial data service that collects, organizes, and analyzes equipment telemetry with hierarchical asset models and time-series APIs.
AWS IoT TwinMaker
Digital twin service that combines 3D scenes, real-time data, and entity-relationship graphs into APIs for industrial operations.
AWS IoT Greengrass
Edge runtime that runs Lambda functions, ML models, and connectors on industrial gateways with local APIs for protocol translation and store-and-forward.
Siemens MindSphere
Industrial IoT cloud platform that connects machines and physical infrastructure to APIs for asset management, fleet analytics, and predictive services.
PTC ThingWorx
Industrial IoT platform with APIs for asset modeling, mashups, augmented-reality work instructions, and manufacturing analytics.
OSIsoft PI System
De-facto industrial data historian with PI Web API endpoints for streaming, querying, and contextualizing decades of process and equipment data.
Litmus Automation
Industrial edge platform that connects PLCs, OPC UA servers, and MQTT brokers and exposes normalized data through cloud APIs.
HiveMQ
Enterprise MQTT broker widely used in industrial deployments for Sparkplug B telemetry, device management, and edge-to-cloud messaging.
Scroll within the panel for all 8 ·
Resources
Every other property we hold for Industrial — 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.
Get Started 1
Portal, sign-up, and the first successful call
Build 1
SDKs, sample code, and the tooling you integrate with
← All providers · Data indexed from github.com/api-evangelist/industrial · machine-readable index on apis.io
This is an independent, third-party profile of Industrial, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.
The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.
Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.
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