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Chart engines / editorial decision artifacts

A library of arguments you can interrogate, not charts you screenshot.

Each engine answers one business question with real math, live interaction, and a hosted artifact. The point is not dashboard clutter. The point is a sendable page that makes the decision obvious.

Active now1
Planned library10
Primary pathClaude first

Linear Optimization

What price maximizes revenue, profit, and the tradeoff between them?

ActiveTier 1
Open live example
Developer snippets
{
  "tool": "engine_linear_optimization",
  "input": {
    "title": "Your chart artifact",
    "data": {
      "observations": [
        {
          "x": 2.9,
          "y": 1320,
          "label": "Week 1"
        },
        {
          "x": 3.2,
          "y": 1190,
          "label": "Week 2"
        },
        {
          "x": 3.5,
          "y": 1035,
          "label": "Week 3"
        }
      ],
      "x_label": "Price",
      "y_label": "Units sold"
    },
    "options": {
      "unit_cost": 1.8,
      "context": "Replace with your business context",
      "currency": "USD"
    }
  }
}
Engine idlinear_optimization
Analytical domainpricing_optimization
Input schemaMCP/chart_engines/schemas/linear_optimization.input.schema.json
Published examples
Example 1Example 2Example 3

Breakeven Explorer

Where is the breakeven point, and how much margin of safety is left?

PlannedTier 2
This engine is in the rollout queue. The card is live now so discovery, prompts, and snippets can ship ahead of the example artifacts.
Coming soon
Developer snippets
{
  "tool": "engine_breakeven_explorer",
  "input": {
    "title": "Your chart artifact",
    "data": {
      "observations": [
        {
          "x": 2.9,
          "y": 1320,
          "label": "Week 1"
        },
        {
          "x": 3.2,
          "y": 1190,
          "label": "Week 2"
        },
        {
          "x": 3.5,
          "y": 1035,
          "label": "Week 3"
        }
      ],
      "x_label": "Price",
      "y_label": "Units sold"
    },
    "options": {
      "unit_cost": 1.8,
      "context": "Replace with your business context",
      "currency": "USD"
    }
  }
}
Engine idbreakeven_explorer
Analytical domainbreakeven_analysis
Input schemaMCP/chart_engines/schemas/breakeven_explorer.input.schema.json

Cohort Retention

How fast do customers decay, and what does that imply for LTV?

PlannedTier 1
This engine is in the rollout queue. The card is live now so discovery, prompts, and snippets can ship ahead of the example artifacts.
Coming soon
Developer snippets
{
  "tool": "engine_cohort_retention",
  "input": {
    "title": "Your chart artifact",
    "data": {
      "observations": [
        {
          "x": 2.9,
          "y": 1320,
          "label": "Week 1"
        },
        {
          "x": 3.2,
          "y": 1190,
          "label": "Week 2"
        },
        {
          "x": 3.5,
          "y": 1035,
          "label": "Week 3"
        }
      ],
      "x_label": "Price",
      "y_label": "Units sold"
    },
    "options": {
      "unit_cost": 1.8,
      "context": "Replace with your business context",
      "currency": "USD"
    }
  }
}
Engine idcohort_retention
Analytical domaincohort_retention
Input schemaMCP/chart_engines/schemas/cohort_retention.input.schema.json

Forecast With Intervals

Where is the forecast headed, and how wide is the confidence band?

PlannedTier 1
This engine is in the rollout queue. The card is live now so discovery, prompts, and snippets can ship ahead of the example artifacts.
Coming soon
Developer snippets
{
  "tool": "engine_forecast_with_intervals",
  "input": {
    "title": "Your chart artifact",
    "data": {
      "observations": [
        {
          "x": 2.9,
          "y": 1320,
          "label": "Week 1"
        },
        {
          "x": 3.2,
          "y": 1190,
          "label": "Week 2"
        },
        {
          "x": 3.5,
          "y": 1035,
          "label": "Week 3"
        }
      ],
      "x_label": "Price",
      "y_label": "Units sold"
    },
    "options": {
      "unit_cost": 1.8,
      "context": "Replace with your business context",
      "currency": "USD"
    }
  }
}
Engine idforecast_with_intervals
Analytical domainforecasting
Input schemaMCP/chart_engines/schemas/forecast_with_intervals.input.schema.json

Funnel Diagnosis

Where does conversion break, and what lift matters most?

PlannedTier 2
This engine is in the rollout queue. The card is live now so discovery, prompts, and snippets can ship ahead of the example artifacts.
Coming soon
Developer snippets
{
  "tool": "engine_funnel_diagnosis",
  "input": {
    "title": "Your chart artifact",
    "data": {
      "observations": [
        {
          "x": 2.9,
          "y": 1320,
          "label": "Week 1"
        },
        {
          "x": 3.2,
          "y": 1190,
          "label": "Week 2"
        },
        {
          "x": 3.5,
          "y": 1035,
          "label": "Week 3"
        }
      ],
      "x_label": "Price",
      "y_label": "Units sold"
    },
    "options": {
      "unit_cost": 1.8,
      "context": "Replace with your business context",
      "currency": "USD"
    }
  }
}
Engine idfunnel_diagnosis
Analytical domainfunnel_optimization
Input schemaMCP/chart_engines/schemas/funnel_diagnosis.input.schema.json

Monte Carlo Outcome

What range of outcomes is plausible once uncertainty is simulated?

PlannedTier 2
This engine is in the rollout queue. The card is live now so discovery, prompts, and snippets can ship ahead of the example artifacts.
Coming soon
Developer snippets
{
  "tool": "engine_monte_carlo_outcome",
  "input": {
    "title": "Your chart artifact",
    "data": {
      "observations": [
        {
          "x": 2.9,
          "y": 1320,
          "label": "Week 1"
        },
        {
          "x": 3.2,
          "y": 1190,
          "label": "Week 2"
        },
        {
          "x": 3.5,
          "y": 1035,
          "label": "Week 3"
        }
      ],
      "x_label": "Price",
      "y_label": "Units sold"
    },
    "options": {
      "unit_cost": 1.8,
      "context": "Replace with your business context",
      "currency": "USD"
    }
  }
}
Engine idmonte_carlo_outcome
Analytical domainsimulation
Input schemaMCP/chart_engines/schemas/monte_carlo_outcome.input.schema.json

Pareto Concentration

How concentrated is the business, and where is the 80/20 breakpoint?

PlannedTier 2
This engine is in the rollout queue. The card is live now so discovery, prompts, and snippets can ship ahead of the example artifacts.
Coming soon
Developer snippets
{
  "tool": "engine_pareto_concentration",
  "input": {
    "title": "Your chart artifact",
    "data": {
      "observations": [
        {
          "x": 2.9,
          "y": 1320,
          "label": "Week 1"
        },
        {
          "x": 3.2,
          "y": 1190,
          "label": "Week 2"
        },
        {
          "x": 3.5,
          "y": 1035,
          "label": "Week 3"
        }
      ],
      "x_label": "Price",
      "y_label": "Units sold"
    },
    "options": {
      "unit_cost": 1.8,
      "context": "Replace with your business context",
      "currency": "USD"
    }
  }
}
Engine idpareto_concentration
Analytical domainconcentration_analysis
Input schemaMCP/chart_engines/schemas/pareto_concentration.input.schema.json

Sensitivity Tornado

Which assumptions move the outcome the most right now?

PlannedTier 1
This engine is in the rollout queue. The card is live now so discovery, prompts, and snippets can ship ahead of the example artifacts.
Coming soon
Developer snippets
{
  "tool": "engine_sensitivity_tornado",
  "input": {
    "title": "Your chart artifact",
    "data": {
      "observations": [
        {
          "x": 2.9,
          "y": 1320,
          "label": "Week 1"
        },
        {
          "x": 3.2,
          "y": 1190,
          "label": "Week 2"
        },
        {
          "x": 3.5,
          "y": 1035,
          "label": "Week 3"
        }
      ],
      "x_label": "Price",
      "y_label": "Units sold"
    },
    "options": {
      "unit_cost": 1.8,
      "context": "Replace with your business context",
      "currency": "USD"
    }
  }
}
Engine idsensitivity_tornado
Analytical domainsensitivity_analysis
Input schemaMCP/chart_engines/schemas/sensitivity_tornado.input.schema.json

Unit Economics Waterfall

Where do contribution margin, CAC, LTV, and payback really land?

PlannedTier 1
This engine is in the rollout queue. The card is live now so discovery, prompts, and snippets can ship ahead of the example artifacts.
Coming soon
Developer snippets
{
  "tool": "engine_unit_economics_waterfall",
  "input": {
    "title": "Your chart artifact",
    "data": {
      "observations": [
        {
          "x": 2.9,
          "y": 1320,
          "label": "Week 1"
        },
        {
          "x": 3.2,
          "y": 1190,
          "label": "Week 2"
        },
        {
          "x": 3.5,
          "y": 1035,
          "label": "Week 3"
        }
      ],
      "x_label": "Price",
      "y_label": "Units sold"
    },
    "options": {
      "unit_cost": 1.8,
      "context": "Replace with your business context",
      "currency": "USD"
    }
  }
}
Engine idunit_economics_waterfall
Analytical domainunit_economics
Input schemaMCP/chart_engines/schemas/unit_economics_waterfall.input.schema.json

Variance Decomposition

How much of the change came from price, volume, and mix?

PlannedTier 2
This engine is in the rollout queue. The card is live now so discovery, prompts, and snippets can ship ahead of the example artifacts.
Coming soon
Developer snippets
{
  "tool": "engine_variance_decomposition",
  "input": {
    "title": "Your chart artifact",
    "data": {
      "observations": [
        {
          "x": 2.9,
          "y": 1320,
          "label": "Week 1"
        },
        {
          "x": 3.2,
          "y": 1190,
          "label": "Week 2"
        },
        {
          "x": 3.5,
          "y": 1035,
          "label": "Week 3"
        }
      ],
      "x_label": "Price",
      "y_label": "Units sold"
    },
    "options": {
      "unit_cost": 1.8,
      "context": "Replace with your business context",
      "currency": "USD"
    }
  }
}
Engine idvariance_decomposition
Analytical domainvariance_analysis
Input schemaMCP/chart_engines/schemas/variance_decomposition.input.schema.json