AI insights backed by trusted data

Can you trust your AI’s data?

430M+

research records across publications, grants, patents, trials, datasets, and policy documents

256M+

mentions of over 24 million research outputs

3

MCPs covering discovery, depth, and impact — the full AI research stack

Stale data, broken workflows

Research teams have invested in AI, but when agents can’t reach live data, they fill the gaps with outdated training data or make things up: analysis you can’t stand behind.

Analysts still manually export data that AI tools should query directly
AI summaries often lack citations or a clear path back to the source
Keyword search misses the relationships that matter most in life science research
Proving real-world impact to funders takes more than citation counts

The cost of disconnected AI

AI is becoming the default way research decisions get made, and it’s only as trustworthy as the data behind it.

When agents work from incomplete or outdated sources, the risk isn’t just a wrong answer. It’s a funding decision made on half the picture, or a regulatory submission built on evidence full of gaps.

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AI outputs that you can trust

Connect your AI agent to one of the world’s largest linked research datasets

MCP is an open standard that lets AI assistants query live, structured, and authoritative data directly, instead of relying only on training data. Digital Science offers three MCPs, each covering a different layer of research intelligence.

Dimensions Analytics MCP

Dimensions Analytics MCP gives AI agents access to data related to 430M+ connected research records, including publications, grants, patents, clinical trials, datasets, and policy documents, queryable in plain language or a structured DSL, via the Dimensions Analytics API.

Search pubs, grants & patents in plain language
See funding trends by funder & topic
Resolve DOIs & PubMed IDs to full records

Dimensions Semantic Search MCP

Dimensions Semantic Search MCP gives AI agents access to concept-aware search across 40+ life science domains, automatically expanding queries to related subtypes, compounds, and synonyms, and finding relationships between terms that keyword search simply can’t see.

Expands “PFAS” to PFOS, PFOA, PFHxS & related terms
Finds related drugs, diseases & compounds
Search pubs, patents & trials as one

Altmetric MCP

Altmetric MCP brings real-world research attention to AI: where it’s read, shared, cited in policy, and discussed beyond academic circles, from single DOI lookups to institution-wide analytics.