# Clara

**Canonical:** https://apis.io/providers/claratech-ai/  
**Website:** https://claratech.ai/  
**APIs profiled:** 0

Clara is an AI-powered assistant designed specifically for mortgage brokers, streamlining the entire loan origination workflow. It captures every call, email, and document related to a deal, providing instant insights and automating repetitive tasks. By centralizing communication and data, Clara reduces deal review time from hours to minutes, improves accuracy, and enhances collaboration between brokers, lenders, and clients. The platform is accessible via desktop, mobile, and on‑the‑road, ensuring brokers stay productive wherever they work.

## Kin Score — 5.6 / 100 (minimal)

Scored 2026-11-06 under rubric 0.27.0.

| Facet | Score |
|---|---|
| Discoverability | 48.2 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 2.4 |
| Access Clarity | 10.5 |

Regulatory layer — **Securities & Market Data**: 8.6 (matched via weak_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 |
| 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

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **Claratech Ai Domain Security** — TLSv1.3 · DMARC

## Tags

Artificial Intelligence, Mortgage, Fintech, Assistant, Brokerage

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