# BeBop Sensors

**Canonical:** https://apis.io/providers/bebop-sensors/  
**APIs profiled:** 0

BeBop Sensors was a Berkeley, California smart-fabric sensor company founded in 2014 that designed and manufactured flexible, fabric-based pressure and touch sensors for OEMs across robotics, medical devices, automotive interiors, and virtual reality. Its best known products were haptic VR gloves and "intelligent sensing technology" surfaces that turned ordinary materials into multi-touch, pressure-sensitive inputs. The company raised a $10M+ Series A led by Bullpen Capital and shipped custom sensor hardware paired with bespoke firmware and integration software for enterprise customers. BeBop sold engineered hardware under contract rather than a self-serve developer product, and never published a public API, developer portal, or SDK. The company is no longer operating and its former domain has been repurposed by an unrelated third party.

## 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, Haptics, Sensors, Wearables, Virtual Reality, Smart Fabric, Defunct

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