# Maquoketa Research

**Canonical:** https://apis.io/providers/maquoketa-research/  
**Website:** https://www.maquoketa.net  
**APIs profiled:** 0

Maquoketa Research is a defense-technology startup (Y Combinator, Spring 2026) building autonomous terminal-guidance systems for one-way attack drones. Its platform-agnostic guidance modules add custom computer-vision object tracking to low-cost FPV drone hardware, raising strike success rates from under 25% to roughly 80% while maintaining target lock through GPS jamming and signal loss. Founded in 2025 and based in San Francisco, the five-person team ships hardware modules (product lines include GCS, Magpie, Odin, and TGS) that integrate with existing drone flight controllers rather than a public developer API. This profile was surfaced as a Y Combinator portfolio company and enriched from the company's public website; it currently exposes no public API, SDK, or developer platform surface.

## 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).

## Security (1)

- **Maquoketa Research Domain Security** — TLSv1.3

## Tags

Company, Defense, Drones, Autonomous Systems, Guidance Systems, Computer-Vision, Hardware, Aerospace, Y Combinator

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