seekwhens/compelling

{
  "$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
  "name": "compelling",
  "version": "0.3.18",
  "description": "Build B2B target lists from your own criteria, find decision-makers and rank accounts by fit.",
  "author": {
    "name": "Compelling",
    "url": "https://compelling.ai"
  },
  "homepage": "https://compelling.ai",
  "repository": "https://github.com/seekwhens/compelling-plugin",
  "license": "MIT",
  "keywords": [
    "lead-generation",
    "sales-prospecting",
    "lead-lists",
    "tam-sourcing",
    "target-account-research",
    "contact-discovery",
    "contact-enrichment",
    "email-enrichment",
    "firmographic-data",
    "technographic-data",
    "funding-research",
    "icp-scoring",
    "lead-scoring",
    "b2b-data",
    "crm-integrations",
    "dach",
    "company-research",
    "buying-signals",
    "firmenrecherche",
    "zielkunden",
    "ansprechpartner"
  ],
  "extensions": {
    "com.openai": {
      "interface": {
        "displayName": "Compelling",
        "shortDescription": "Find and qualify B2B leads",
        "longDescription": "Find and qualify B2B target companies with Compelling directly in ChatGPT and Codex. Built for sales and business development teams researching their chosen markets, from the Mittelstand and industrial companies to consultancies, IT service providers and other B2B segments.\n\nDescribe your target market and your own selection criteria: industry, location, employee count, technologies, certifications, products or current hiring activity. Compelling's AI research agents build target account and total addressable market (TAM) lists and answer custom research questions about companies and business contacts.\n\nFind relevant decision-makers and research business email addresses, LinkedIn profiles, revenue, headcount, technology stacks and funding. Review available research evidence in your Compelling workspace and prioritize accounts against an explicit, weighted ideal customer profile (ICP) rubric.\n\nResults are saved as live lists in your Compelling workspace, where you can use native integrations with HubSpot, Salesforce, Pipedrive, Monday CRM and more.\n\nTry: \"Find 10 machinery manufacturers in Germany with 100-500 employees that use SAP.\"\n\nDeveloped in Cologne, Germany. Compelling uses European infrastructure. A Compelling account is required.",
        "developerName": "Compelling",
        "category": "Business & Operations",
        "capabilities": [
          "Find target companies by custom criteria",
          "Find business decision-makers",
          "Research company and contact data",
          "Research custom buying signals",
          "Prioritize accounts by customer fit",
          "Read workspace lists",
          "Estimate credit costs"
        ],
        "websiteURL": "https://compelling.ai",
        "privacyPolicyURL": "https://www.compelling.ai/legal/privacy-notice",
        "termsOfServiceURL": "https://www.compelling.ai/legal/terms-and-conditions",
        "defaultPrompt": [
          "Find 10 machinery manufacturers in Germany with 100-500 employees that use SAP.",
          "Find IT leaders for the companies in my list and research their business emails and LinkedIn profiles.",
          "Rank the companies in my list by our target customer criteria and explain the scoring."
        ],
        "composerIcon": "./assets/logo.png",
        "logo": "./assets/logo.png",
        "supportURL": "https://www.compelling.ai/contact",
        "brandColor": "#00167F"
      },
      "review": {
        "test_cases": {
          "positive": [
            {
              "description": "Identify the connected workspace",
              "prompt": "Which Compelling workspace am I connected to?",
              "tools_triggered": "compelling_whoami",
              "expected_behavior": "Report the workspace name Compelling Review without exposing authentication tokens or unrelated personal information."
            },
            {
              "description": "Discover workspace lists",
              "prompt": "Show me my most recent Compelling lists.",
              "tools_triggered": "compelling_whoami, compelling_list_lists",
              "expected_behavior": "Show accessible lists ordered by most recent edit, including My first list and its account count."
            },
            {
              "description": "Read existing Industry and Employees values for named fixture accounts",
              "prompt": "In 'My first list', show Account Name, Domain, Industry, and Employees for sonnen GmbH (sonnen.de), NetCologne (netcologne.de), and Lilium (lilium.com). Read the stored values only; do not research anything.",
              "tools_triggered": "compelling_whoami, compelling_list_lists, compelling_list_insights, compelling_read_list",
              "expected_behavior": "Resolve My first list in Compelling Review. Discover the saved columns with compelling_list_insights: the employee-count column is named Employees in MCP and in the app UI. Filter the domain column by sonnen.de, netcologne.de, and lilium.com using the discovered question_id; do not guess column IDs or create a new Employees column. Read and return the stored company names, domains, Industry and Employees values. Fixture values: sonnen.de Utilities / 610; netcologne.de Telecommunications / 930; lilium.com Aviation & Aerospace / 990. Use only read tools; do not start research, change values, or spend credits."
            },
            {
              "description": "Estimate TAM sourcing without creating a list or starting work",
              "prompt": "In Compelling Review, what is the maximum credit cost to source ten companies headquartered in Germany, Austria, or Switzerland that offer a B2B SaaS product? Only estimate; do not create a list, source companies, or change any data.",
              "tools_triggered": "compelling_whoami, compelling_list_lists, compelling_estimate_credits",
              "expected_behavior": "Confirm Compelling Review and use the existing My first list only as the list_id context required for the read-only estimate. Call compelling_estimate_credits with action=find_companies, target_size=10, criteria=['Headquartered in Germany, Austria, or Switzerland', 'Offers a B2B SaaS product'], and no optional criteria. Report the returned maximum and available balance: the verified estimate is 70 credits (10 x (5 base + 2 criteria)); the current returned estimate and balance remain authoritative. Do not call compelling_create_list or compelling_find_companies, create criteria columns, change My first list, run contact discovery, or spend credits."
            },
            {
              "description": "Source a ten-company TAM into a fresh review list",
              "prompt": "In Compelling Review, create a new list called 'Review TAM - DACH SaaS' and source ten companies. Use exactly these two criteria: 'Headquartered in Germany, Austria, or Switzerland' and 'Offers a B2B SaaS product'. Show the maximum credit estimate first. You may start if the estimate is at most 70 credits and my balance covers it. Then show the companies and whether they match both criteria. Do not find contacts or research contact details.",
              "tools_triggered": "compelling_whoami, compelling_create_list, compelling_estimate_credits, compelling_find_companies, compelling_tam_sourcing_status, compelling_read_list",
              "expected_behavior": "Confirm Compelling Review, create a fresh empty Review TAM - DACH SaaS list, and use its returned list_id throughout. Leave My first list and its fixture values unchanged. Use search_prompt='B2B SaaS companies headquartered in Germany, Austria, or Switzerland', target_size=10, criteria=['Headquartered in Germany, Austria, or Switzerland', 'Offers a B2B SaaS product'], optional_criteria=[] and no unrequested exclusions. Estimate with action=find_companies and exactly the same target_size and criteria. Report the returned maximum and balance; start compelling_find_companies only when the estimate is at most 70 credits and fits the balance, using the authorization in the prompt. Otherwise stop and explain. At most 70 credits are charged for the run, even if more than ten companies land in the list. Use wait_seconds and compelling_tam_sourcing_status to track asynchronous progress; call compelling_list_insights if needed to identify generated criterion columns, then read saved account records with compelling_read_list(record_type=accounts). A completed successful run should show the ten actual stored company names, domains, and the results for both mandatory criteria as two separate criterion columns; do not invent fixed company names. If results are fewer, pending, exhausted, cancelled, failed or prompt_ambiguous, report that state and actual records without claiming ten matches or silently restarting. Do not call compelling_find_contacts, compelling_contacts_run_status, or contact enrichment. Run this case once; before repeating, check existing review lists and active work to avoid duplicate credit-spending runs."
            }
          ],
          "negative": [
            {
              "description": "Do not invoke Compelling for sending an outreach email. The user provides the recipient and message, so no lead lookup or enrichment is needed. Compelling MCP exposes no email-sending action. Explain that this plugin cannot send the email; do not call any Compelling tools, start research, or claim delivery. This tests tool-selection boundaries, not whether the wider Compelling product has outreach integrations.",
              "prompt": "Send this cold email to alex.sales@example.com: 'Hi Alex, would you like to see a demo of Compelling?'"
            },
            {
              "description": "Do not invoke Compelling for permanent deletion. Compelling MCP exposes no list or record deletion action. Explain this limitation without calling Compelling tools or claiming deletion. Do not substitute blacklist, ingest, contact discovery or research for deletion; preserve My first list and its records.",
              "prompt": "Permanently delete 'My first list' and all of its companies and contacts."
            },
            {
              "description": "Do not invoke Compelling for a subscription upgrade or payment. Subscriptions and payments are managed in the Compelling workspace, and MCP has no upgrade or charge action. Explain where payment is handled without calling Compelling tools, collecting payment details, spending research credits, or claiming a charge or plan change.",
              "prompt": "Upgrade my Compelling subscription and charge my saved payment method right here in this conversation."
            }
          ]
        },
        "commerce": true,
        "commerce_description": "Users purchase a Compelling subscription that includes usage credits. Subscription purchase and payment take place in the Compelling workspace. MCP research tools consume workspace credits; the MCP server does not process payments."
      },
      "publication": {
        "release_notes": "Updated review test cases.",
        "translations": {
          "de-DE": {
            "subtitle": "Zielkunden finden & bewerten",
            "description": "Finde und qualifiziere passende B2B-Zielkunden mit Compelling direkt in ChatGPT und Codex. Für Vertrieb und Business Development bei der Recherche in deinen gewählten Zielmärkten, von Mittelstand und Industrieunternehmen bis hin zu Beratungen, IT-Dienstleistern und weiteren B2B-Segmenten.\n\nBeschreibe deinen Zielmarkt und deine eigenen Auswahlkriterien: Branche, Standort, Mitarbeiterzahl, eingesetzte Technologien, Zertifizierungen, Produkte oder aktuelle Stellenanzeigen. Compellings KI-Recherche-Agenten erstellen Zielkundenlisten für deinen adressierbaren Markt (TAM) und beantworten individuelle Recherchefragen zu Firmen und geschäftlichen Kontakten.\n\nFinde relevante Ansprechpartner und recherchiere geschäftliche E-Mail-Adressen, LinkedIn-Profile, Umsatz, Mitarbeiterzahl, Technologien und Finanzierung. Prüfe verfügbare Recherchebelege im Compelling-Workspace und priorisiere Unternehmen anhand deiner eigenen, gewichteten Kriterien für das ideale Kundenprofil (ICP).\n\nDie Ergebnisse werden als bearbeitbare Listen in deinem Compelling-Workspace gespeichert. Dort kannst du native Integrationen mit HubSpot, Salesforce, Pipedrive, Monday CRM und weiteren Systemen nutzen.\n\nZum Beispiel: „Finde zehn Maschinenbauunternehmen in Deutschland mit 100–500 Mitarbeitenden, die SAP einsetzen.“\n\nEntwickelt in Köln. Compelling nutzt europäische Infrastruktur. Ein Compelling-Konto ist erforderlich."
          }
        },
        "countries": []
      }
    }
  }
}