.codex-plugin/plugin.json

{
  "name": "agentsource",
  "version": "1.0.2",
  "description": "AgentSource: B2B company and contact data for research.",
  "author": {
    "name": "Explorium.ai"
  },
  "homepage": "https://www.explorium.ai",
  "repository": "https://github.com/explorium-ai/agentsource-v2-plugin",
  "license": "MIT",
  "keywords": [
    "b2b data",
    "company data",
    "contact data",
    "company research",
    "account research",
    "market research",
    "firmographics",
    "technographics",
    "data enrichment",
    "business signals",
    "funding data",
    "intent data",
    "email finder",
    "phone number lookup",
    "people search",
    "business search",
    "market sizing",
    "competitive analysis",
    "lead scoring",
    "candidate sourcing",
    "naics",
    "industry classification",
    "explorium",
    "agentsource"
  ],
  "skills": "./skills/",
  "mcpServers": "./.mcp.json",
  "interface": {
    "displayName": "AgentSource",
    "shortDescription": "B2B data for company research",
    "longDescription": "AgentSource brings live B2B data into ChatGPT for company research, market analysis, and data enrichment. It draws on Explorium's database of 150M+ companies and 800M+ professional contacts aggregated from 50+ sources, and returns full results directly in the conversation.\n\nResearch companies. Look up a company by name or domain and pull firmographics, technology stack, web infrastructure, funding and acquisitions, workforce and hiring trends, employee ratings, corporate hierarchy, website changes, LinkedIn posts, and challenges, strategy and competitive landscape from public filings.\n\nSearch the market. Describe a segment in plain language and filter by industry (LinkedIn, NAICS), employee count, revenue, company age, location, public or private status, technologies used, website keywords, buying-intent topics, and recent business events. Count how many companies or people match before pulling rows, with breakdowns by industry, size, revenue and geography.\n\nFind and profile people. Search professionals by job title, seniority, department, location, skills, experience and tenure, or look up a named person by email, LinkedIn URL, phone, or name and company. Add work history, education and verified business contact details.\n\nTrack signals. See which companies raised funding, launched products, opened or closed offices, formed partnerships, cut costs, completed acquisitions, or grew or shrank departments, and which people changed roles or companies.\n\nEnrich your own lists. Paste companies or contacts and the app matches each row to the right record, flags duplicates, and appends the data you ask for.\n\nWho it's for. Analysts, founders, investors, strategy and RevOps teams, sales and marketing teams, and recruiters who need accurate company and people data inside their research workflow.\n\nTry prompts like:\n\n\"Research stripe.com: funding, headcount trends and tech stack.\"\n\"How many US fintech companies with 200 to 1,000 employees use Snowflake?\"\n\"Compare Gong, Chorus and Clari side by side.\"\n\"Which of these companies raised funding in the last 90 days?\"\n\"Find VP-level engineering leaders at Series B SaaS companies in Germany.\"\n\"Find companies similar to datadoghq.com.\"\n\"Map the data engineering teams at these five competitors.\"\n\"Clean and match this list of company names to domains.\"\n\nAgentSource is Explorium's B2B data API and MCP. Data is retrieved live at query time, not from a static export.",
    "developerName": "Explorium.ai",
    "category": "Business & Operations",
    "capabilities": [
      "Build intelligence briefs on a company from firmographics, funding, hiring, technology and business signals",
      "Compare named competitors side by side using company data, recent moves and filing-based strategy",
      "Count companies or people matching a profile to size a market, with industry, size and geography breakdowns",
      "Find companies and professionals matching plain-language criteria such as industry, size, role and location",
      "Enrich company and contact records with firmographics, technology data and professional profiles",
      "Find business emails and phone numbers for named contacts or people matching your criteria",
      "Track funding, product launches, office changes, acquisitions and role changes over a chosen period",
      "Find lookalike companies using a seed account's industry, size, geography and technology profile",
      "Score and tier accounts or leads against an ideal customer profile with transparent evidence",
      "Prepare meeting briefs with company signals and attendee profiles",
      "Source candidates from a role brief and map talent pools across target companies",
      "Normalize pasted company and contact lists, match them to records and flag duplicates"
    ],
    "websiteURL": "https://developers.explorium.ai",
    "supportURL": "https://www.explorium.ai/about/#contact",
    "privacyPolicyURL": "https://www.explorium.ai/privacy-policy/",
    "termsOfServiceURL": "https://www.explorium.ai/explorium-website-terms-of-use/",
    "defaultPrompt": [
      "Research stripe.com: funding history, headcount trends, and tech stack.",
      "How many US SaaS companies with 200 to 1,000 employees use Snowflake?",
      "Compare Gong, Chorus, and Clari side by side."
    ],
    "composerIcon": "./assets/logo.png",
    "logo": "./assets/logo.png",
    "screenshots": []
  },
  "extensions": {
    "com.openai": {
      "review": {
        "test_cases": {
          "positive": [
            {
              "description": "Find companies matching a specific country code",
              "prompt": "Find me 20 companies with company_country_code IL",
              "tools_triggered": "fetch-entities",
              "expected_behavior": "Returns matching companies."
            },
            {
              "description": "Find prospects and enrich contact details.",
              "prompt": "Find 20 prospects at companies with company_country_code US, then call enrich-prospects to get their email and phone number",
              "tools_triggered": "fetch-entities, enrich-prospects",
              "expected_behavior": "Returns prospects with enriched email and phone number values."
            },
            {
              "description": "Resolve a known company and enrich company details.",
              "prompt": "Match Microsoft by domain microsoft.com, then call enrich-business to get firmographic details",
              "tools_triggered": "match-business, enrich-business",
              "expected_behavior": "Returns the matched company record with enriched firmographic details."
            },
            {
              "description": "Fetch employees from a known company with emails.",
              "prompt": "Match the company with domain gong.io, find 30 prospects there, then call enrich-prospects to get their email",
              "tools_triggered": "match-business, fetch-entities, enrich-prospects",
              "expected_behavior": "Returns gong.io prospects with enriched email values."
            },
            {
              "description": "Find companies in a bucketed size range.",
              "prompt": "Find 20 companies with company_country_code GB and company_size 51-200",
              "tools_triggered": "fetch-entities",
              "expected_behavior": "Returns companies with company_size 51-200."
            }
          ],
          "negative": [
            {
              "description": "Do not trigger for general consumer web search.",
              "prompt": "What are the best restaurants near Times Square tonight?"
            },
            {
              "description": "Do not trigger for sending outreach.",
              "prompt": "Draft a sales pitch email and send it to john@example.com, CC my manager."
            },
            {
              "description": "Do not trigger for weather questions.",
              "prompt": "Will it rain in London this weekend?"
            }
          ]
        },
        "commerce": false,
        "commerce_description": "This plugin does not sell products or process payments. AgentSource is a B2B data service used through the user's existing Explorium account."
      },
      "publication": {
        "release_notes": "First release of the AgentSource plugin. It connects to the AgentSource v2 MCP and adds twelve research workflow skills, each with UI metadata and an explicit MCP dependency: account research, competitor research, enrich company, enrich contact, account contacts, list builder, lookalike accounts, market sizing, meeting prep, score leads, talent sourcing, and clean data."
      }
    }
  },
  "apps": "./.app.json"
}