# Juxta Labs

**Canonical:** https://apis.io/providers/juxta-labs/  
**Website:** https://juxtalabs.com  
**APIs profiled:** 0

Juxta Labs, Inc. was a San Francisco social and mobile applications startup founded around 2011 by Jared Allgood and Jayson Ahlstrom, building social games and light-social apps for teens (titles such as Zoomed In, Shadow Shapes, and Pick the Song) that reportedly reached tens of millions of users. In June 2015 the company raised roughly $1.7M from investors including 500 Global (then 500 Startups), Monashees, Alta Ventures, and Atua Ventures, which is why it surfaces in the 500 Global portfolio. The company is now inactive/deadpooled and its site (juxtalabs.com) is offline, so there is no live developer portal, documentation, or API surface to enrich. Note: an unrelated current company at juxtalabs.io (enterprise AI document automation) is a different entity and is not this 500 Global portfolio company.

## 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, Social, Mobile Apps, Gaming, Consumer, San Francisco, Defunct

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