{
  "id": "model-revenue-plan",
  "task": "Model a revenue plan",
  "description": "Build or query the plan side: quota, capacity, territory, scenarios, comp.",
  "example_requests": [
    "model a revenue plan",
    "run a what-if scenario",
    "quota and capacity planning",
    "territory design",
    "what happens if we hire five more reps"
  ],
  "html_url": "https://gtmmcps.com/jobs/model-revenue-plan",
  "json_url": "https://gtmmcps.com/data/solutions/model-revenue-plan.json",
  "snapshot_date": "2026-10-17",
  "evidence_note": "Vendor-reported task matches, not a performance ranking or proof of MCP capability. Confirm current requirements and test the intended workflow.",
  "tools": [
    {
      "id": "12-anaplan",
      "name": "Anaplan (PlanIQ / Anaplan Forecaster)",
      "capability": "Connected-planning platform whose AI forecasting engine - originally branded PlanIQ, now superseded by \"Anaplan Forecaster\" (launched October 2025) - generates time-series demand/sales/revenue forecasts that feed directly into a customer's broader Anaplan models.",
      "api_access": "enterprise-only",
      "mcp_support": "official",
      "last_checked": "2026-09-07",
      "sources": [
        "https://www.anaplan.com/platform/anaplan-planiq/",
        "https://www.anaplan.com/platform/intelligence/",
        "https://help.anaplan.com/drive-intelligent-forecasting-with-planiq-7333fab4-7118-45d9-8504-4137bc114e04",
        "https://www.globenewswire.com/news-release/2025/12/09/3202449/0/en/Anaplan-Introduces-Role-Based-AI-Agents-to-Advance-Industry-Leading-Enterprise-Scenario-Planning-and-Analysis-Platform.html",
        "https://www.pulsemcp.com/servers?q=anaplan",
        "https://www.anaplan.com/pricing/",
        "https://github.com/larasrinath/anaplan-mcp"
      ],
      "record_url": "https://gtmmcps.com/tools/12-anaplan"
    },
    {
      "id": "12-cube-software",
      "name": "Cube Software",
      "capability": "Spreadsheet-native FP&A planning and reporting platform for finance teams; revenue-scenario modeling is one supported use case rather than a dedicated CRM-native sales-forecasting product.",
      "api_access": "paid",
      "mcp_support": "official",
      "last_checked": "2026-09-07",
      "sources": [
        "https://www.cubesoftware.com/mcp",
        "https://www.cubesoftware.com/pricing",
        "https://help.cubesoftware.com/hc/en-us/articles/45569561283092-Connect-Cube-to-AI-Apps-via-MCP-Server",
        "https://www.pulsemcp.com/servers?q=cube",
        "https://mcp.cubesoftware.com/"
      ],
      "record_url": "https://gtmmcps.com/tools/12-cube-software"
    },
    {
      "id": "12-forecastio",
      "name": "Forecastio",
      "capability": "AI sales-forecasting and pipeline-intelligence platform built for HubSpot and Salesforce users, applying machine learning, time-series models, and weighted-pipeline methods to predict a forecast range (best case/commit/worst case) and support what-if scenario modeling.",
      "api_access": "paid",
      "mcp_support": "none-found",
      "last_checked": "2026-09-02",
      "sources": [
        "https://forecastio.ai/pricing",
        "https://forecastio.ai/blog/ai-sales-forecasting-explained",
        "https://forecastio.ai/blog/sales-forecasting-software",
        "https://www.pulsemcp.com/servers?q=forecastio"
      ],
      "record_url": "https://gtmmcps.com/tools/12-forecastio"
    },
    {
      "id": "12-pigment",
      "name": "Pigment",
      "capability": "AI-native enterprise business-planning (EPM) platform used across finance, sales, HR, and supply chain; GTM-relevant use cases include capacity, territory, and quota planning and revenue-growth-management scenario modeling.",
      "api_access": "enterprise-only",
      "mcp_support": "official",
      "last_checked": "2026-08-24",
      "sources": [
        "https://www.pigment.com",
        "https://www.pigment.com/ai/mcp-server",
        "https://kb.pigment.com/docs/mcp-server-1",
        "https://www.pigment.com/use-case/revenue-growth-management",
        "https://www.pigment.com/ai-info-about-pigment",
        "https://www.pulsemcp.com/servers?q=pigment"
      ],
      "record_url": "https://gtmmcps.com/tools/12-pigment"
    },
    {
      "id": "12-vareto",
      "name": "Vareto",
      "capability": "FP&A / financial-planning platform for finance teams (budgeting, headcount planning, driver-based modeling, cash-flow forecasting) that lists \"Sales Revenue Forecasting\" and \"Capacity Planning\" as one of several supported use cases.",
      "api_access": "enterprise-only",
      "mcp_support": "none-found",
      "last_checked": "2026-09-02",
      "sources": [
        "https://vareto.io",
        "https://www.vareto.com",
        "https://www.vendr.com/marketplace/vareto",
        "https://www.vareto.com/how-to-buy/pricing"
      ],
      "record_url": "https://gtmmcps.com/tools/12-vareto"
    },
    {
      "id": "12-varicent",
      "name": "Varicent",
      "capability": "Enterprise sales-performance-management (SPM) platform covering incentive compensation, quota setting, territory design, pipeline management, and revenue forecasting in one suite.",
      "api_access": "enterprise-only",
      "mcp_support": "none-found",
      "last_checked": "2026-09-02",
      "sources": [
        "https://www.varicent.com/products/sales-planning-software",
        "https://www.varicent.com/ai-for-sales",
        "https://elt.varicent.com/assets/elt-docs/en/get-started/account-settings/api-keys.html",
        "https://www.opensymmetry.com/api-varicent/",
        "https://www.pulsemcp.com/servers?q=varicent"
      ],
      "record_url": "https://gtmmcps.com/tools/12-varicent"
    },
    {
      "id": "12-xactly",
      "name": "Xactly",
      "capability": "Revenue platform combining incentive-compensation management (Xactly Incent) with pipeline/revenue forecasting (Xactly Forecast), using compensation-plan and rep-behavior data as a forecasting input.",
      "api_access": "enterprise-only",
      "mcp_support": "unknown",
      "last_checked": "2026-09-02",
      "sources": [
        "https://www.xactlycorp.com/products/xactly-forecast",
        "https://www.xactlycorp.com/products/xactly-incent",
        "https://www.xactlycorp.com/pricing",
        "https://www.pulsemcp.com/servers?q=xactly",
        "https://www.xactlycorp.com/products/xactly-intelligence/agents",
        "https://www.xactlycorp.com/company/press-room/Xactly-releases-fleet-of-agents"
      ],
      "record_url": "https://gtmmcps.com/tools/12-xactly"
    }
  ]
}