{ "name": "distilla", "version": "1.0.2", "description": "Financial analysis and investment research for AI agents. Query public-company financial statements, analyst consensus estimates, earnings calendars and call transcripts, historical stock prices, and valuation multiples; screen stocks by business drivers and earnings commentary; and search research documents and investing podcasts.", "author": { "name": "Distilla, Inc.", "email": "support@distilla.ai", "url": "https://www.distilla.ai" }, "homepage": "https://www.distilla.ai", "repository": "https://github.com/Distilla-AI/distilla-mcp", "license": "MIT", "keywords": [ "financial-analysis", "investment-research", "equity-research", "stock-research", "stock-analysis", "fundamental-analysis", "fundamental-investing", "financial-data", "earnings", "earnings-calls", "analyst-estimates", "valuation", "stock-screener", "finance", "stocks", "mcp" ], "mcpServers": "./.mcp.json", "interface": { "displayName": "Distilla Investment Research", "shortDescription": "Financial and equity research", "longDescription": "Distilla brings financial analysis and fundamental equity research to your AI assistant. Look up public-company fundamentals (financial statement line items and ratios), analyst consensus estimates, earnings dates, earnings filings and call transcripts, daily stock prices, and valuation multiples such as P/E and EV/EBITDA. See explanations for significant stock price moves, compare competitive peers by sector and product category, and run qualitative stock screens on business drivers or earnings-call commentary across selected companies or regions. Search Distilla's Public Library of research documents and investing podcasts, with source details. A Distilla account is required. Screen requests create jobs that may take time to complete; other research calls also count against account usage.", "developerName": "Distilla, Inc.", "category": "Finance", "capabilities": [ "Query company financials and fundamentals", "Analyst consensus estimates", "Earnings calendars and transcripts", "Stock prices and valuation multiples", "Explain stock price moves", "Screen stocks by drivers and earnings commentary", "Search research documents and podcasts" ], "websiteURL": "https://agents.distilla.ai", "supportURL": "https://www.distilla.ai/contact-us", "privacyPolicyURL": "https://www.distilla.ai/privacy-policy", "termsOfServiceURL": "https://www.distilla.ai/terms-conditions", "defaultPrompt": [ "Summarize NVIDIA's price moves with Distilla and reasons over the last 3 months and establish patterns.", "Count US-headquartered companies by sector in Distilla and show the 15 largest groups.", "Find recent Public Library research about NVIDIA AI data-center demand." ], "composerIcon": "./assets/icon.png", "logo": "./assets/icon.png" }, "extensions": { "com.openai": { "review": { "test_cases": { "positive": [ { "description": "Summarize recorded stock price moves and their explanations through schema-guided entity queries. Requires a demo account with company and price explanation data.", "prompt": "Summarize NVIDIA's price moves with Distilla and reasons over the last 3 months and establish patterns.", "tools_triggered": "list_queryable_entities, describe_queryable_entities, query_entity", "expected_behavior": "Provide a chronological summary of returned NVIDIA price-explanation rows dated within the three months before the request, including the recorded moves and their stated explanations. Identify repeated themes only when supported by multiple rows. If no rows match or the page is truncated, say so. Present the explanations as Distilla-reported and do not add unsupported causal claims." }, { "description": "Aggregate company records by sector using the entity schema. Requires a demo account with company and sector data.", "prompt": "Count US-headquartered companies by sector in Distilla, show the 15 largest groups, and tell me whether the results are truncated.", "tools_triggered": "list_queryable_entities, describe_queryable_entities, aggregate_entity", "expected_behavior": "Return up to 15 sector names with company counts for records matching hq_country = US, ordered by count descending. Each displayed name and count must match the aggregate rows after resolving the returned sector IDs to names; equal counts may appear in either order. Report the aggregate's truncation status. If it is truncated, either disclose that the counts cover only the returned page or retrieve enough groups to establish the complete aggregation; state whether the final grouping is complete and do not treat a capped page as exhaustive. Describe the population as records matching the schema\u2019s US filter; the schema labels US as \u2018US-listed companies,\u2019 so do not claim a stricter headquarters definition than the data supports." }, { "description": "Screen a fixed set of three named companies for a qualitative driver match and poll the resulting job. Requires a demo account entitled to screening with screen jobs enabled.", "prompt": "Screen Microsoft (MSFT), Broadcom (AVGO), and NVIDIA (NVDA) using their company-driver profiles to identify documented links between growth and AI hyperscaler capital spending. Show each returned screen score and supporting driver, include coverage, and treat equal scores as ties.", "tools_triggered": "list_queryable_entities, describe_queryable_entities, query_entity, screen_drivers, get_screen_job", "expected_behavior": "Return the matching companies from the named three-company set, ordered by match score, with each returned score and its supporting driver. Treat equal scores as a tie; do not imply a unique strongest company unless the returned scores distinguish one. Include coverage for this set and whether all three companies were evaluated. If the result summary and coverage totals disagree, report both and flag the discrepancy; do not reconcile them or imply a broader screen. Report results only after the screen finishes, or report its error if it fails." }, { "description": "Compare one recent Public Library podcast about hyperscaler AI data-center financing with recent same-topic sell-side research. Requires a demo account with Public Library access and matching podcast and research documents.", "prompt": "Find the latest Public Library podcast about hyperscaler AI data-center financing. Compare its guest's view with recent Distilla research on the same financing risks, and say whether the sources directly conflict or describe cautionary tension.", "tools_triggered": "search_public_library, get_library_document", "expected_behavior": "Identify the latest retrieved Public Library Podcast about hyperscaler AI data-center financing, with its title and publication date, then inspect the returned podcast document. Compare the guest's stated view only with retrieved recent Research documents addressing the same financing risks. Distinguish directly opposing conclusions from cautionary tension or reinforcing concerns; do not claim a conflict unless the sources support opposite conclusions. Treat the returned documents as a sample, not exhaustive consensus, and say if no comparable research is returned." }, { "description": "Search the bounded Public Library and inspect one returned document. Requires a demo account with Public Library access and at least one matching document.", "prompt": "Find recent Public Library research about NVIDIA AI data-center demand. Summarize the common points and show the summary and tags for one source document.", "tools_triggered": "search_public_library, get_library_document", "expected_behavior": "Provide a sourced synthesis of returned Public Library results about NVIDIA AI data-center demand, identify the sources, and show metadata, summary, and tags for one returned source document. Make clear the synthesis reflects retrieved sources, not exhaustive consensus. Research documents omit full text; say if no matching source exists." } ], "negative": [ { "description": "Unrelated messaging request; no Distilla tool can send messages.", "prompt": "Send an email to my team with today's meeting notes." }, { "description": "Private document request; the MCP library tools only expose available Public Library documents.", "prompt": "Open the private research report I uploaded to Distilla yesterday and paste its full text here." }, { "description": "Unsupported trading action; all exposed tools are research and screening tools.", "prompt": "Buy 100 shares of NVIDIA in my brokerage account now." } ] }, "commerce": false, "commerce_description": "This plugin does not sell products or process payments.", "demo_recording_url": "https://drive.google.com/file/d/1ZUQrD_9Rg4iWcAm1ly_mHejsPh_bkCrb/view?usp=drive_link" }, "publication": { "release_notes": "Initial Distilla release with company data queries, aggregates, driver and earnings screens, and Public Library search." } } }, "apps": "./.app.json" }