Dimcli
Query Dimensions Analytics API to retrieve structured research data with URLs
What You Can Do
You can search across Dimensions' comprehensive research database using natural language queries that are converted into DSL syntax. Claude constructs valid queries, executes them via dimcli, parses the JSON responses, and presents results as formatted lists with direct links to Dimensions records. This eliminates manual API navigation and enables rapid discovery of research entities.
Features
publications, grants, patents, clinical trials, datasets, researchers, organizations, and policy documents via unified DSL syntax
every result includes a clickable link to the full Dimensions record for quick access
describes available fields and filters for each source to construct optimized queries
JSON, CSV, formatted tables, or HTML depending on your workflow needs
provides count totals, date ranges, and notable patterns after listing results
suggests next steps like narrowing filters, exporting data, or fetching additional records
manages API pagination limits and recommends query optimization for extensive result sets
Example Output
Example 1: Search for COVID-19 vaccine publications
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mRNA vaccine efficacy against Omicron variants: a meta-analysis (2023) Journal: Nature Medicine | Cited by: 342 https://app.dimensions.ai/details/publication/pub.1198765432
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Long-term immunogenicity of mRNA-1273 vaccine (2023) Journal: The Lancet | Cited by: 218 https://app.dimensions.ai/details/publication/pub.1198765433
Found 847 publications (2020–2024) with peak output in 2021.
Example 2: Find active research grants on AI safety
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Interpretability and robustness in large language models — $2.4M Funder: NSF | Status: Active | PI: Dr. Sarah Chen https://app.dimensions.ai/details/grant/grant.5678901
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Alignment techniques for autonomous systems — $1.8M Funder: DARPA | Status: Active | PI: Prof. Michael Zhang https://app.dimensions.ai/details/grant/grant.5678902
Found 34 active grants; total funding $78.2M (2022–2026).
What's Included
- SKILL.md instruction file with DSL query syntax, workflow steps, and flag reference:
- grammar.md reference file documenting Dimensions Query Language (DQL) syntax and operators:
- urls.md reference guide showing URL pattern templates for each source type:
- Output formatting templates for numbered lists, summaries, and result exports:
- Query examples for common research discovery tasks (publications by topic, grants by funder, patents by inventor):
Who It's For
- Research librarians and information specialists discovering publications and grants for stakeholders
- Grant writers identifying funded research areas and active grant programs in their field
- Patent analysts searching invention landscapes and competitive intelligence
- Academic researchers mapping literature reviews and funding opportunities
- Data analysts compiling structured datasets from Dimensions for analysis and reporting
Best For
- Searching peer-reviewed publications by keyword, date range, journal, or citation count
- Discovering active research grants by funder, institution, or research topic
- Identifying patents and patent families by inventor, assignee, or technology classification
- Finding clinical trials by condition, intervention, or sponsor organization
- Building research datasets for meta-analysis, landscape reviews, or competitive intelligence
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