# SchemaLabs (schemalabs.ai)

Reads unjoined data sources to infer links, fill gaps and predict outcomes, with no key matching or labelled training data.

- Atlas card: https://inite.ai/en/atlas/schemalabs.ai
- Site: https://schemalabs.ai
- For: Data teams working with raw tables and databases that lack shared keys, labels, or preprocessing
- Categories: analytics
- Use 0/100 · alive 100/100

## Used for

- map records across databases without shared keys
- impute missing values in unlabelled raw tables
- identify the sector a raw table belongs to

## Price

- from 50 USD/month, free plan (read 2026-10-23 on https://schemalabs.ai/pricing)

## For developers

- API docs: https://platform.schemalabs.ai
- MCP server: ai.schemalabs/schema (namespace; auth on 2026-10-23)
- Read 2026-10-23

## MCP server, measured daily

Server: https://mcp.schemalabs.ai/mcp, checked every day since 2026-10-24 (4 checks).

- Answered: measuring, 4 daily checks so far
- Median first answer: 265 ms
- Sign-in: OAuth (the client signs the user in)
- Method: https://inite.ai/en/atlas/mcp/report

## Your data

- Certifications stated: gdpr, ccpa, iso27001
- Training on your data: no (https://schemalabs.ai/trust)
- Read 2026-10-23

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Source: INITE Atlas, https://inite.ai/en/atlas/schemalabs.ai. JSON: https://inite.ai/api/atlas/schemalabs.ai. MCP: https://inite.ai/api/mcp (atlas_lookup).