valuation_core
Pre-Revenue Core Methods
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The textbook's pre-revenue methods: Scorecard, Berkus, Risk-Factor Summation, VC Method (post- and pre-money), and exit terminal value. Use these first for early-stage startups. Method selects the formula, and each method names its own parameters: scorecard needs average_valuation + weights + scores; berkus takes five factor awards; risk_factor needs base_valuation + risk_ratings; vc_post_money needs terminal_value + target_return; vc_pre_money needs post_money + investment; terminal_value needs projected_revenue + multiple; triangulated needs the scorecard inputs plus terminal_value/target_return/investment. Routing: for SAFEs, tokens, ESG, network effects, or data-moat methods use valuation_emerging; for options or bull/base/bear scenario tables use valuation_advanced; for public-comparable multiples use valuation_comparables. Only method is required; all other parameters are method-dependent, so supply those the selected method names and omit the rest (defaults apply where defined). Rate and decimal inputs are fractions (0.10 = 10%); probability and weight lists are in [0,1] and sum to 1. Returns value, method, inputs, assumptions, chapter, formula_number and calculation steps; pure arithmetic — no I/O and no external calls — rounded to 2 decimals, with no auth or rate limits. An unknown method, or a missing method-required parameter, returns an error instead of a value.
Input schema
| Property | Type | Required | Description |
|---|---|---|---|
| method | string | yes | Formula to apply. Options: scorecard = V = V_avg · Σ(wᵢ·sᵢ) across 7 factors.; berkus = V = Σ factor awards, each capped at $500K.; risk_factor = V = V_base + Σ(rᵢ·$250K) over 12 risks.; vc_post_money = Post = Terminal / target ROI.; vc_pre_money = Pre = Post - Investment.; terminal_value = Terminal = projected revenue × multiple.; triangulated = Runs Scorecard and the VC Method together and returns their mean. |
| average_valuation | number | no | Average pre-revenue valuation for the sector, currency units. |
| weights | array | no | Portfolio or factor weights, each in [0,1] and summing to 1 (same order as the paired value list). |
| scores | array | no | Factor multipliers aligned with weights (1.0 = average, >1 above average). |
| sound_idea | number | no | Berkus award for soundness of the idea, 0 to 500,000 (USD). |
| prototype | number | no | Berkus award for prototype / technology, 0 to 500,000. |
| quality_team | number | no | Berkus award for management team, 0 to 500,000. |
| strategic_relationships | number | no | Berkus award for strategic relationships, 0 to 500,000. |
| product_rollout | number | no | Berkus award for product rollout / sales, 0 to 500,000. |
| base_valuation | number | no | Pre-adjustment baseline valuation, currency units. |
| risk_ratings | array | no | 12 risk factor ratings in [-2,2] (very low to very high); each unit shifts value ±250,000. |
| terminal_value | number | no | Expected exit / terminal value, currency units. |
| target_return | number | no | VC target return multiple (e.g. 10 for a 10x target). |
| post_money | number | no | Post-money valuation, currency units. |
| investment | number | no | Amount invested, currency units. |
| projected_revenue | number | no | Projected revenue at exit, currency units. |
| multiple | number | no | Exit or market multiple applied to the metric. |
Raw JSON schema
{
"type": "object",
"properties": {
"method": {
"type": "string",
"enum": [
"scorecard",
"berkus",
"risk_factor",
"vc_post_money",
"vc_pre_money",
"terminal_value",
"triangulated"
],
"description": "Formula to apply. Options: scorecard = V = V_avg · Σ(wᵢ·sᵢ) across 7 factors.; berkus = V = Σ factor awards, each capped at $500K.; risk_factor = V = V_base + Σ(rᵢ·$250K) over 12 risks.; vc_post_money = Post = Terminal / target ROI.; vc_pre_money = Pre = Post - Investment.; terminal_value = Terminal = projected revenue × multiple.; triangulated = Runs Scorecard and the VC Method together and returns their mean."
},
"average_valuation": {
"type": "number",
"description": "Average pre-revenue valuation for the sector, currency units."
},
"weights": {
"type": "array",
"items": {
"type": "number"
},
"description": "Portfolio or factor weights, each in [0,1] and summing to 1 (same order as the paired value list)."
},
"scores": {
"type": "array",
"items": {
"type": "number"
},
"description": "Factor multipliers aligned with weights (1.0 = average, >1 above average)."
},
"sound_idea": {
"type": "number",
"description": "Berkus award for soundness of the idea, 0 to 500,000 (USD).",
"default": 0
},
"prototype": {
"type": "number",
"description": "Berkus award for prototype / technology, 0 to 500,000.",
"default": 0
},
"quality_team": {
"type": "number",
"description": "Berkus award for management team, 0 to 500,000.",
"default": 0
},
"strategic_relationships": {
"type": "number",
"description": "Berkus award for strategic relationships, 0 to 500,000.",
"default": 0
},
"product_rollout": {
"type": "number",
"description": "Berkus award for product rollout / sales, 0 to 500,000.",
"default": 0
},
"base_valuation": {
"type": "number",
"description": "Pre-adjustment baseline valuation, currency units."
},
"risk_ratings": {
"type": "array",
"items": {
"type": "number"
},
"description": "12 risk factor ratings in [-2,2] (very low to very high); each unit shifts value ±250,000."
},
"terminal_value": {
"type": "number",
"description": "Expected exit / terminal value, currency units."
},
"target_return": {
"type": "number",
"description": "VC target return multiple (e.g. 10 for a 10x target)."
},
"post_money": {
"type": "number",
"description": "Post-money valuation, currency units."
},
"investment": {
"type": "number",
"description": "Amount invested, currency units."
},
"projected_revenue": {
"type": "number",
"description": "Projected revenue at exit, currency units."
},
"multiple": {
"type": "number",
"description": "Exit or market multiple applied to the metric."
}
},
"required": [
"method"
]
}