# Preql

**Canonical:** https://apis.io/providers/preql/  
**Website:** https://www.preql.ai/  
**APIs profiled:** 0

Preql (preql.ai) is an enterprise data platform that automates data cleaning, reconciliation, and semantic modeling to deliver the trustworthy context layer that AI agents and business analytics depend on. Its agentic platform combines Agentic Semantic Modeling, Data Cleaning Agents, and AI-Powered Reporting to automatically resolve data mismatches, schema drift, and anomalies across ERP, CRM, HR, and expense systems without manual intervention, serving finance, operations, revenue, and executive decision-making at large enterprises. The company was surfaced as a portfolio company of Bessemer Venture Partners and Felicis, and added to the API Evangelist network. Preql does not currently publish a public developer API, developer portal, or API reference; this profile captures its public company identity, help center, and web properties.

## Kin Score — 11.5 / 100 (emerging)

Scored 2026-08-21 under rubric 0.12.0. Trend: flat (+0.0 from 11.5).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 10.5 |
| Developer Ergonomics | 4.8 |
| Commercial Clarity | 21.1 |
| Access Clarity | 21.1 |

## 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 (2)

- **Preql Domain Security** — TLSv1.3 · HSTS
- **Preql Vulnerability Disclosure** — disclosure policy published

## Tags

Company, Developers, Data, Artificial Intelligence, Analytics, Data Cleaning, Semantic Modeling, Enterprise

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