# Daqstra

**Canonical:** https://apis.io/providers/daqstra/  
**Website:** https://www.daqstra.com/  
**APIs profiled:** 0

Daqstra is an AI-native operating platform for complex test infrastructure, giving aerospace, energy, and robotics teams observability and orchestration for the physical world. The platform connects data-acquisition hardware (National Instruments, PLCs, and custom equipment) at the edge, centralizes and versions test data in the cloud, and orchestrates hardware sequences and test logic as code through Python and REST APIs. Daqstra Edge streams live signals from physical hardware, Daqstra Hub (Strata Hub) organizes test-campaign data with AI-powered insight, and the Daqstra API lets engineers drive test runs programmatically instead of through manual CSV workflows. The company was founded by aerospace-propulsion and avionics engineers and is backed by Y Combinator (S26 batch).

## Kin Score — 6.4 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 6.4).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 7.1 |
| 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).

## Security (1)

- **Daqstra Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Test Infrastructure, Data Acquisition, Aerospace, Hardware, Observability, Orchestration, Telemetry, Test Automation, Artificial Intelligence

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