Emerging & Alternative Methods
valuation_emergingValue startups with SAFEs, tokens, ESG factors, network effects, data moats, or remote-first models. Select method to compute alternative valuations.
Instructions
Modern and alternative valuation: SAFE conversion (discount, cap, expected value), token valuation (equation of exchange, NVT), ESG adjustments (rate, premium, discount), Metcalfe network value, data-moat value, and remote-first premium/NPV. Method selects the model. Use for SAFEs, tokens, ESG, network effects, data moats, and remote-first adjustments; for classic pre-revenue methods use valuation_core. Parameters apply per method: safe_discount needs series_a_price + discount; safe_cap needs cap + series_a_price; safe_expected needs investment + cap + discount + series_a_valuation + series_a_price; token_value needs transaction_volume + price_per_tx + velocity + supply; metcalfe needs n; esg_* need base_valuation + a score; data_moat needs data_volume + data_uniqueness + monetization_rate + competitive_advantage_years. Routing: for classic pre-revenue methods (Scorecard, Berkus, Risk-Factor Summation, VC Method) use valuation_core; for options or scenario tables use valuation_advanced; for public-comparable multiples use valuation_comparables. Only method is required; other parameters are method-dependent, so supply those named for the selected method and omit the rest (documented defaults apply where defined). Returns an object with value, method, inputs, assumptions, chapter, formula_number and calculation steps. Pure arithmetic: no I/O and no external calls, and numeric results are returned rounded to 2 decimals. No authentication, credentials, or rate limits apply. Supplying an unknown method, or leaving unset a parameter that the chosen method requires, returns an error instead of a value.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| k | No | Number of events k for the Poisson probability P(X=k). | |
| n | No | Number of users or nodes in the network. | |
| cap | No | SAFE valuation cap, currency units. | |
| rate | No | Per-period discount rate as a decimal (0.10 = 10%). | |
| method | Yes | Formula to apply. Options: safe_discount = Price = Series A price × (1 - discount).; safe_cap = Price = cap / pre-money shares (cap-based).; safe_expected = Expected SAFE value across cap and discount outcomes.; token_value = Value = (volume × price) / (velocity × supply).; nvt_ratio = NVT = market cap / daily transaction volume.; esg_rate = r = base + ESG risk premium - ESG opportunity discount.; esg_premium = Valuation uplift = base × (1 + score × premium per point).; esg_discount = Valuation reduction = base × (1 - risk score × discount per point).; metcalfe = V = k · n².; data_moat = Discounted value of monetised proprietary data.; remote_npv = Perpetuity NPV = annual savings / discount rate.; remote_premium = Valuation premium from cost savings, talent access, and productivity. | |
| supply | No | Circulating token supply. | |
| discount | No | Conversion discount as a decimal (0.20 = 20% discount). | |
| velocity | No | Token velocity (turnover of supply per period). | |
| esg_score | No | ESG score in points (e.g. 0-100). | |
| investment | No | Amount invested, currency units. | |
| market_cap | No | Market capitalisation, currency units. | |
| data_volume | No | Volume of proprietary data held. | |
| price_per_tx | No | Protocol revenue per transaction, currency units. | |
| discount_rate | No | Discount rate as a decimal (0.12 = 12%). | |
| annual_savings | No | Annual cost savings, currency units. | |
| base_valuation | No | Pre-adjustment baseline valuation, currency units. | |
| esg_risk_score | No | ESG risk score in points (higher = riskier). | |
| series_a_price | No | Price per share in the next priced (Series A) round. | |
| data_uniqueness | No | Uniqueness / scarcity of the data in [0,1]. | |
| cost_savings_pct | No | Cost savings as a fraction of baseline. | |
| esg_risk_premium | No | ESG risk premium added to the rate, as a decimal. | |
| monetization_rate | No | Fraction of data value monetisable as a decimal. | |
| premium_per_point | No | Valuation premium per ESG point as a decimal. | |
| productivity_gain | No | Productivity gain as a decimal. | |
| discount_per_point | No | Valuation discount per ESG risk point as a decimal. | |
| series_a_valuation | No | Series A post-money valuation, currency units. | |
| transaction_volume | No | Total payment transaction volume, currency units. | |
| talent_access_premium | No | Talent-access premium as a decimal. | |
| esg_opportunity_discount | No | ESG opportunity discount subtracted from the rate. | |
| competitive_advantage_years | No | Years the data moat is expected to last. |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| error | No | Error message when the call fails. | |
| steps | No | Intermediate steps for traceability. | |
| value | Yes | Computed valuation or metric. | |
| inputs | No | Echo of the normalised inputs used. | |
| method | No | Formula / method name that produced the result. | |
| chapter | No | Source textbook chapter. | |
| assumptions | No | Modelling assumptions applied. | |
| formula_number | No | Source textbook formula number (e.g. '3.1'). |