# TT Labs

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

TT Labs is the company behind VideoPixie, a freelance marketplace that connects clients with professional video creators — videographers, video editors, directors, animators, and motion designers — available for hire. Clients post a project brief in about five minutes and receive competitive bids from vetted creators, then choose a creator based on portfolio and price. VideoPixie serves crowdfunding and Kickstarter videos, product and explainer videos, game trailers, wedding videography, screencasts, and full production campaigns, with example budgets ranging from a few hundred to tens of thousands of dollars. Backed by 500 Global, VideoPixie is a customer-facing marketplace web application (AngularJS) and does not publish a public developer API, developer portal, or client SDKs.

## Kin Score — 11.5 / 100 (emerging)

Scored 2026-08-21 under rubric 0.12.0. Trend: flat (+0.0 from 11.5).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 4.8 |
| Commercial Clarity | 27.6 |
| Access Clarity | 27.6 |

## 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, Video, Video Production, Marketplace, Freelance, Media, Creative Services, Animation

---

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