# Study Edge

**Canonical:** https://apis.io/providers/study-edge/  
**Website:** https://www.studyedge.com  
**APIs profiled:** 0

Study Edge is an education technology company that builds online learning, tutoring, and test-preparation platforms for students. Its products deliver on-demand instructional video, live and scheduled study sessions, practice problems, and course-specific study resources, and the company is known for operating statewide math learning platforms such as Algebra Nation / Math Nation. Study Edge is a consumer- and institution-facing learning service rather than a developer platform; as of this profile it publishes no public developer API, SDK, or API documentation. It is tracked in the API Evangelist network as an a16z portfolio company.

## Kin Score — 8.2 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 8.2).

| 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 | 23.7 |
| Access Clarity | 23.7 |

Regulatory layer — **Education & Research**: 11.1 (matched via tags).

## 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)

- **Study Edge Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Education, EdTech, Online Learning, Tutoring, Test Preparation, Math Education, Students

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