# Nearpod

**Canonical:** https://apis.io/providers/nearpod/  
**Website:** https://nearpod.com/  
**APIs profiled:** 0

Nearpod is an interactive teaching platform for K-12 and higher-education classrooms, part of Renaissance. Teachers build data-driven lessons that combine real-time formative assessment, interactive activities (quizzes, polls, open-ended questions, collaborate boards, and VR field trips), and 22,000+ curriculum-aligned lessons, delivered live (synchronous) or student-paced (asynchronous) with real-time reporting and insights on student performance. Nearpod connects to major LMS and rostering platforms (Google Classroom, Microsoft Teams, Canvas, Schoology, Clever, ClassLink) via LMS/LTI integrations, but publishes no public developer REST API.

## Kin Score — 19.7 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 19.7).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 18.4 |
| Developer Ergonomics | 14.3 |
| Commercial Clarity | 44.7 |
| Access Clarity | 44.7 |

Regulatory layer — **Education & Research**: 25.9 (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)

- **Nearpod Domain Security** — TLSv1.3 · HSTS · DNSSEC · DMARC

## Tags

Company, Education, EdTech, K-12, Higher Education, Interactive Lessons, Formative Assessment, LMS

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