# Process Sensing Technologies

**Canonical:** https://apis.io/providers/process-sensing-technologies/  
**Website:** https://www.processsensing.com/  
**APIs profiled:** 0

Process Sensing Technologies (PST) is a measurement instrumentation group that designs and manufactures precision sensors and analyzers for moisture, humidity, dew point, oxygen, and trace gas measurement across industrial, pharmaceutical, food, and life-science applications. Its brand portfolio includes Michell Instruments, Rotronic, Analytical Industries, Ntron, SensoScientific, and Isensix, spanning process gas analysis and real-time environmental monitoring. The company now operates under the DwyerOmega brand following its combination with Dwyer Instruments. It was surfaced as a Battery Ventures portfolio company and added to the API Evangelist network for enrichment; probing of its public web surface found hardware, software downloads, calibration tooling, and monitoring platforms but no public developer API, SDK, or documentation portal.

## Kin Score — 5.0 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 5.0).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Commercial Clarity | 0.0 |
| Access Clarity | 0.0 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Tags

Company, Sensors, Instrumentation, Measurements, Monitoring, Industrial, Gas Analysis, Humidity

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/process-sensing-technologies/). Scores are computed from the provider's own public artifacts under a published rubric.