# Science On Call

**Canonical:** https://apis.io/providers/science-on-call/  
**Website:** https://scienceoncall.com/  
**APIs profiled:** 0

Science On Call provides 24/7 AI-powered technology support built specifically for restaurants. Combining intelligent automation with human experts, the service helps restaurant staff triage and resolve operational technology issues across point-of-sale (POS) systems, kitchen display systems (KDS), loyalty programs, staff scheduling, online ordering, training platforms, phones, internet, and Wi-Fi. Staff reach support anytime via text, email, or phone with no app or login required, and issues are typically resolved in about 25 minutes. Science On Call is a Techstars-backed company; billing is handled through a hosted customer portal. This profile currently exposes no public developer API, SDK, or machine- readable specification surface.

## Kin Score — 7.1 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 7.1).

| 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 | 10.5 |
| Access Clarity | 10.5 |

## 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)

- **Science On Call Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Restaurant, Technology Support, Point-of-Sale, Artificial Intelligence, Hospitality, Managed Service

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