# Everyday Software

**Canonical:** https://apis.io/providers/everydaysoftware-ai/  
**Website:** https://everydaysoftware.ai/  
**APIs profiled:** 1

Everyday Software is your one team for AI agents, custom CRMs and websites, SEO, Google Ads, and Facebook Ads. We build the software that runs your business and the marketing that fills it. Book a free strategy call.

## Kin Score — 19.3 / 100 (emerging)

Scored 2026-11-13 under rubric 0.28.0.

| Facet | Score |
|---|---|
| Discoverability | 57.1 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 28.6 |
| Access Clarity | 38.3 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 16.4 (matched via fallback).

## Agent readiness — 2.5 (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 | documented |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |
| MCP Tool Quality | na |

## Access

Open access — onboarding: open, pricing: unknown, trial: no (confidence: low).

## APIs (1)

- **Everyday Software API** — API for Everyday Software services including AI agents, voice automation, custom CRM and marketing integrations.

## Security (2)

- **Everyday Software Authentication** — 0 schemes
- **Everyday Software Domain Security** — TLSv1.3 · DMARC

## Plans (1)

- **Everyday Software Plans Pricing**

## Tags

Artificial Intelligence, CRM, Marketing, Software, Business

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