plugin.json

{
  "$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
  "name": "app-69fdb4eb74f08191a3deeac63eb3a0f6",
  "version": "9.0.0",
  "description": "Search and retrieve biomedical publications, clinical trials, drugs, genes, FDA/EMA authorizations, and life-science patents from Amass.",
  "author": {
    "name": "Amass Technologies ApS"
  },
  "extensions": {
    "com.openai": {
      "interface": {
        "displayName": "Amass",
        "shortDescription": "Life sciences intelligence",
        "longDescription": "Amass connects ChatGPT to six curated biomedical corpora:\n\n- BiomedCore: 43M+ records, including peer-reviewed publications from PubMed/PMC and conference abstracts from society meetings.\n- TrialCore: 1.2M+ clinical trials from ClinicalTrials.gov and the WHO ICTRP.\n- DrugCore: 22K+ harmonized drugs and molecules with modality, clinical stage, structure, synonyms, and the gene targets each drug acts on.\n- GeneCore: 43K+ human genes with druggability, DepMap essentiality, ChEMBL target class, tractability, safety liabilities, and gnomAD constraint.\n- RegulatoryCore: 7K+ unified FDA and EMA marketing authorizations with source documents such as labels, reviews, SmPCs, and EPARs.\n- PatentCore (preview): life-science patents with full-text search, CPC/IPC classifications, assignees, inventors, and patent families.\n\nSearch with structured filters (dates, trial phase and status, retraction status, assignees, and more), open full records, and follow cross-links between publications, trials, drugs, genes, authorizations, and patents back to each underlying source.\n\nBuilt for researchers, clinicians, business development, and competitive-intelligence teams in pharma and biotech. Requires an Amass account. Amass retrieves records and does not give medical advice.",
        "developerName": "Amass Technologies ApS",
        "category": "Education & Research",
        "capabilities": [
          "Search biomedical publications and conference abstracts",
          "Search clinical trials by phase, status, and results",
          "Look up drugs, modalities, and their gene targets",
          "Look up human genes with target-intelligence annotations",
          "Retrieve FDA and EMA authorizations and label sections",
          "Search life-science patents by topic, assignee, and date"
        ],
        "websiteURL": "https://amass.tech",
        "supportURL": "https://amass.tech/contact",
        "privacyPolicyURL": "https://amass.tech/legal/privacy-policy",
        "termsOfServiceURL": "https://amass.tech/legal/terms-of-service",
        "defaultPrompt": [
          "Map the current landscape for oral GLP-1 agonists in obesity \u2014 what\u2019s approved, what\u2019s in trials, and who holds patents.",
          "Make the case for and against KRAS G12D as a drug target: biology, what\u2019s been tried clinically, and failures.",
          "What happened to semaglutide since first approval \u2014 indication expansions, label changes, safety signals, and literature."
        ],
        "composerIcon": "./assets/logo.png",
        "logo": "./assets/logo.png"
      },
      "review": {
        "test_cases": {
          "positive": [
            {
              "description": "Search biomedical literature with date and retraction filters.",
              "prompt": "Find non-retracted papers on GLP-1 receptor agonists for chronic kidney disease, published since 2021 in peer-reviewed journals.",
              "tools_triggered": "search_amass_biomedcore_records",
              "expected_behavior": "Returns BiomedCore publication records on GLP-1 receptor agonists in chronic kidney disease, published 2021 or later, excluding retracted papers, with titles, identifiers, journals, and abstracts."
            },
            {
              "description": "Survey a trial landscape, then open one trial in detail.",
              "prompt": "Find completed phase 3 trials for amyotrophic lateral sclerosis that have posted results on ClinicalTrials.gov, then show me the most relevant one in detail.",
              "tools_triggered": "search_amass_trialcore_records, get_amass_trialcore_record",
              "expected_behavior": "Searches TrialCore with phase, status, and results-posted filters, then retrieves the selected trial's full record, including status, sponsor, interventions, outcomes, and linked publications."
            },
            {
              "description": "Follow a cross-link from a drug record to the gene it targets.",
              "prompt": "Find the drug sotorasib, then pull the full gene record for the gene it targets.",
              "tools_triggered": "search_amass_drugcore_records, get_amass_drugcore_record, get_amass_genecore_record",
              "expected_behavior": "Finds sotorasib in DrugCore, opens its record to read the target (KRAS), and retrieves the GeneCore record with its functional summary, protein annotations, and target-intelligence annotations."
            },
            {
              "description": "Retrieve a regulatory authorization by application number and open a label section.",
              "prompt": "Pull the FDA authorization for application number BLA761149 and show the indications section of its label.",
              "tools_triggered": "get_amass_regulatorycore_record, get_amass_regulatorycore_document_section",
              "expected_behavior": "Returns the harmonized FDA authorization record, then the full text of the label's indications section with its source URL."
            },
            {
              "description": "Map a patent landscape by topic, assignee, and date, then open one patent.",
              "prompt": "Find Moderna patents on lipid nanoparticle delivery of mRNA published since 2018, then show me the full record for the most relevant one.",
              "tools_triggered": "search_amass_patentcore_records, get_amass_patentcore_record",
              "expected_behavior": "Searches PatentCore with assignee and publication-date filters, then retrieves the selected patent's bibliographic data, classifications, assignees, inventors, and key dates."
            }
          ],
          "negative": [
            {
              "description": "Personal medical emergency. The user needs urgent care guidance, not record search; ChatGPT should answer without calling Amass tools.",
              "prompt": "I have chest pain and shortness of breath. What should I do right now?"
            },
            {
              "description": "Calendar scheduling is outside Amass's scope; no Amass tool should be called.",
              "prompt": "Schedule a meeting with my research team next Tuesday at 2 PM."
            },
            {
              "description": "Drug shopping and pharmacy prices are outside Amass's scope; no Amass tool should be called.",
              "prompt": "Find the cheapest pharmacy where I can buy semaglutide this week."
            }
          ]
        }
      },
      "publication": {
        "release_notes": "Interactive viewers, trial eligibility and searching inside authorizations (MCP v12).\n\n- Search results, fetched records and document sections render in an interactive viewer: a card per record with its title, identifier and key fields, a record's details such as a trial's eligibility, arms and posted outcomes, and a document section's text with a link to the source PDF.\n- TrialCore records return the primary completion date, last known status and eligibility, and search filters by sex, age group, healthy volunteers, site country and source registry.\n- RegulatoryCore search can look inside one authorization's source documents and return the matching sections with excerpts; FDA review sections link to the review document they come from.\n- Every Core search date filter also accepts a month or a year.\n- TrialCore search returns a trial registered in several registries once, preferring its ClinicalTrials.gov record."
      },
      "apps": "./.app.json"
    }
  }
}