com.ascent-partners/intangible-valuation

Est-ce que com.ascent-partners/intangible-valuation est sûr ?

Au dernier audit MCP Hub, le serveur MCP « com.ascent-partners/intangible-valuation » est classé « Non encore testé ». Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur. Le verdict est réévalué en continu ; consultez la fiche pour l'état à jour.

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Les 14 outils

• valuation_compliance≈ 827 tokens

  Transfer pricing and litigation: the Comparable Uncontrolled Price arm's-length range and patent infringement damages with pre-judgment interest. Method selects the formula. Use for OECD transfer-pricing pricing of intercompany intangibles and for patent infringement damages awards. For royalty-rate benchmarking to set a rate use valuation_royalty_analysis; for the substantive asset valuation use valuation_ip or valuation_income_methods. Per method: cup_transfer_price needs controlled_price + uncontrolled_prices; patent_infringement_damages needs lost_profits_or_royalty + infringement_period + discount_rate + prejudgment_interest_rate. uncontrolled_prices must contain at least one comparable price for the arm's-length range. Only method is required; all other parameters are method-dependent — supply those the selected method names and omit the rest (defaults apply where defined). Rates and premiums are decimals (0.10 = 10%). Pure arithmetic: no I/O and no external calls, rounded to 2 decimals; parameters belonging to other methods are accepted and ignored. An unknown method, or a missing method-required parameter, returns an error instead of a value.

  Paramètres, retour & exemple (7)

  Paramètres

  • method · string · requis · cup_transfer_price | patent_infringement_damages
    Formula to apply. Options: cup_transfer_price = Arm's-length range from comparable uncontrolled prices.; patent_infringement_damages = Lost profits or reasonable royalty plus prejudgment interest.
  • discount_rate · number · optionnel
    Per-period discount rate as a decimal (0.10 = 10%).
  • controlled_price · number · optionnel
    Intercompany (controlled) price, in currency units.
  • infringement_period · integer · optionnel
    Infringement period in years (≥ 0).
  • uncontrolled_prices · array · optionnel
    Comparable uncontrolled prices, in currency units.
  • lost_profits_or_royalty · number · optionnel
    Annual lost profits or reasonable royalty, in currency units.
  • prejudgment_interest_rate · number · optionnel
    Pre-judgment interest rate as a decimal (e.g. 0.05 = 5%).

  Exemple d'appel

  {"name": "valuation_compliance", "arguments": {"method": "cup_transfer_price"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"error": "texte", "steps": [], "value": 1, "method": "texte", "assumptions": "texte", "defaults_applied": [], "formula_reference": "texte"}}

• valuation_cost_approach≈ 740 tokens

  Cost approach: depreciated reproduction cost from a cost breakdown and depreciated replacement cost with equivalent utility, both reduced by obsolescence. Method selects the formula. Use when no income or market evidence exists, or to corroborate income and market indications for internally developed intangibles. For income-based indications use valuation_income_methods; for market evidence use valuation_market_approach. Per method: reproduction_cost needs development_costs (optional: obsolescence_factors); replacement_cost needs current_cost (optional: obsolescence_factors). obsolescence_factors values are decimals that are summed and applied to the cost base; omit them for no obsolescence. Only method is required; all other parameters are method-dependent — supply those the selected method names and omit the rest (defaults apply where defined). Rates and premiums are decimals (0.10 = 10%). Pure arithmetic: no I/O and no external calls, rounded to 2 decimals; parameters belonging to other methods are accepted and ignored. An unknown method, or a missing method-required parameter, returns an error instead of a value.

  Paramètres, retour & exemple (4)

  Paramètres

  • method · string · requis · reproduction_cost | replacement_cost
    Formula to apply. Options: reproduction_cost = Sum of cost categories less total obsolescence.; replacement_cost = Current cost of equivalent utility less obsolescence.
  • current_cost · number · optionnel
    Current cost to replace the asset with equivalent utility, in currency units.
  • development_costs · object · optionnel
    Cost breakdown by category, e.g. {"r_and_d": 1000000, "testing": 250000}, in currency units.
  • obsolescence_factors · object · optionnel
    Obsolescence factors, e.g. {"functional": 0.10, "technological": 0.15, "economic": 0.05}.

  Exemple d'appel

  {"name": "valuation_cost_approach", "arguments": {"method": "reproduction_cost"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"error": "texte", "steps": [], "value": 1, "method": "texte", "assumptions": "texte", "defaults_applied": [], "formula_reference": "texte"}}

• valuation_customer≈ 1054 tokens

  Customer-related intangibles: customer relationships with attrition, distribution networks by channel profitability, and non-compete agreements on protected profits. Method selects the formula. Use for customer relationships, distribution networks, and non-compete assets; customer_relationships projects multi-period revenue with a retention rate. For the workforce and key-person assets use valuation_human_capital; for technology assets use valuation_technology. Per method: customer_relationships needs customer_count + avg_revenue_per_customer + retention_rate + profit_margin + discount_rate + projection_period; distribution_network needs channel_count + revenue_per_channel + channel_margin + useful_life + discount_rate; non_compete needs protected_revenue + profit_margin + term + enforcement_probability + discount_rate. retention_rate and enforcement_probability are in [0,1]; projection_period sets the number of discounted periods. Only method is required; all other parameters are method-dependent — supply those the selected method names and omit the rest (defaults apply where defined). Rates and premiums are decimals (0.10 = 10%). Pure arithmetic: no I/O and no external calls, rounded to 2 decimals; parameters belonging to other methods are accepted and ignored. An unknown method, or a missing method-required parameter, returns an error instead of a value.

  Paramètres, retour & exemple (14)

  Paramètres

  • term · integer · optionnel
    Non-compete term in years (≥ 0).
  • method · string · requis · customer_relationships | distribution_network | non_compete
    Formula to apply. Options: customer_relationships = Multi-period revenue net of attrition, discounted.; distribution_network = Channel revenue times margin over the useful life.; non_compete = Protected profit under an enforcement probability, discounted.
  • useful_life · integer · optionnel
    Useful life in years n (integer ≥ 1).
  • channel_count · integer · optionnel
    Number of distribution channels (integer ≥ 0).
  • discount_rate · number · optionnel
    Per-period discount rate as a decimal (0.10 = 10%).
  • profit_margin · number · optionnel
    Profit margin as a decimal (0.20 = 20%).
  • channel_margin · number · optionnel
    Channel profit margin as a decimal in [0,1].
  • customer_count · integer · optionnel
    Number of customers (integer ≥ 0).
  • retention_rate · number · optionnel
    Annual customer retention rate, in [0,1].
  • projection_period · integer · optionnel
    Projection horizon in years (integer ≥ 1).
  • protected_revenue · number · optionnel
    Annual revenue protected by the non-compete, in currency units.
  • revenue_per_channel · number · optionnel
    Annual revenue per channel, in currency units.
  • enforcement_probability · number · optionnel
    Probability the non-compete is enforceable, in [0,1].
  • avg_revenue_per_customer · number · optionnel
    Average annual revenue per customer, in currency units.

  Exemple d'appel

  {"name": "valuation_customer", "arguments": {"method": "customer_relationships"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"error": "texte", "steps": [], "value": 1, "method": "texte", "assumptions": "texte", "defaults_applied": [], "formula_reference": "texte"}}

• valuation_discount_rate≈ 1458 tokens

  Construct discount and capitalization rates: build-up, CAPM, WACC, tax-amortization benefit, control premium, Finnerty DLOM, and currency/country-risk adjustment. Method selects the formula. Use to derive the rate that feeds every income-based method; build_up and capm estimate cost of equity, wacc blends debt and equity. For a cross-border rate with currency and country premia use method currency_adjusted; for the cash flows the rate discounts use valuation_time_value. Per method: build_up needs risk_free_rate + equity_risk_premium (optional: size_premium, industry_risk_premium, specific_risk_premium); capm needs risk_free_rate + beta + market_return; wacc needs equity_value + debt_value + cost_of_equity + cost_of_debt + tax_rate; tax_amortization_benefit needs discount_rate + useful_life + tax_rate + asset_value; control_premium needs minority_price + control_price; dlom_finnerty needs restricted_period + volatility + risk_free_rate; currency_adjusted needs base_rate (optional: currency_risk_premium, country_risk_premium). All rates and premiums are decimals; wacc requires both equity_value and debt_value, and dlom_finnerty volatility is an annualized decimal. Only method is required; all other parameters are method-dependent — supply those the selected method names and omit the rest (defaults apply where defined). Rates and premiums are decimals (0.10 = 10%). Pure arithmetic: no I/O and no external calls, rounded to 2 decimals; parameters belonging to other methods are accepted and ignored. An unknown method, or a missing method-required parameter, returns an error instead of a value.

  Paramètres, retour & exemple (23)

  Paramètres

  • beta · number · optionnel
    Systematic risk beta (market = 1.0).
  • method · string · requis · build_up | capm | wacc | tax_amortization_benefit | control_premium | dlom_finnerty | currency_adjusted
    Formula to apply. Options: build_up = r = Rf + ERP + size + industry + specific premiums.; capm = r = Rf + beta * (Rm - Rf).; wacc = WACC = (E/V) Re + (D/V) Rd (1 - Tc).; tax_amortization_benefit = PV of the tax shield from amortizing the asset.; control_premium = (Control price - minority price) / minority price.; dlom_finnerty = Finnerty average-strike put option DLOM.; currency_adjusted = r = base rate + currency premium + country premium.
  • tax_rate · number · optionnel
    Marginal tax rate as a decimal (0.25 = 25%).
  • base_rate · number · optionnel
    Base discount rate before currency/country adjustment, as a decimal (e.g. 0.12 = 12%).
  • debt_value · number · optionnel
    Market value of debt D, in currency units.
  • volatility · number · optionnel
    Annualized volatility sigma as a decimal (0.30 = 30%).
  • asset_value · number · optionnel
    Asset value the tax amortization benefit is computed on, in currency units.
  • useful_life · integer · optionnel
    Useful life in years n (integer ≥ 1).
  • cost_of_debt · number · optionnel
    Pre-tax cost of debt Rd as a decimal (e.g. 0.06 = 6%).
  • equity_value · number · optionnel
    Market value of equity E, in currency units.
  • size_premium · number · optionnel
    Small-size premium as a decimal (e.g. 0.03 = 3%).
  • control_price · number · optionnel
    Controlling-interest share price or value, in currency units.
  • discount_rate · number · optionnel
    Per-period discount rate as a decimal (0.10 = 10%).
  • market_return · number · optionnel
    Expected market return as a decimal (0.10 = 10%).
  • cost_of_equity · number · optionnel
    Cost of equity Re as a decimal (e.g. 0.12 = 12%).
  • minority_price · number · optionnel
    Minority (pre-control) share price or value, in currency units.
  • risk_free_rate · number · optionnel
    Risk-free rate as a decimal (0.04 = 4%).
  • restricted_period · number · optionnel
    Restricted / marketability period in years t (≥ 0).
  • equity_risk_premium · number · optionnel
    Equity risk premium as a decimal (0.06 = 6%).
  • country_risk_premium · number · optionnel
    Country risk premium as a decimal (e.g. 0.03 = 3%).
  • currency_risk_premium · number · optionnel
    Currency risk premium as a decimal (e.g. 0.02 = 2%).
  • industry_risk_premium · number · optionnel
    Industry risk premium as a decimal (e.g. 0.02 = 2%).
  • specific_risk_premium · number · optionnel
    Company-specific risk premium as a decimal (e.g. 0.03 = 3%).

  Exemple d'appel

  {"name": "valuation_discount_rate", "arguments": {"method": "build_up"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"error": "texte", "steps": [], "value": 1, "method": "texte", "assumptions": "texte", "defaults_applied": [], "formula_reference": "texte"}}

• valuation_goodwill_ppa≈ 1018 tokens

  Goodwill and purchase price allocation: goodwill as the residual, a full PPA waterfall across identified intangibles, and useful-life estimation. Method selects the formula. Use for ASC 805 / IFRS 3 business combinations; purchase_price_allocation allocates consideration to identified intangibles with the remainder to goodwill. For subsequent goodwill and intangible impairment testing use valuation_impairment; for individual intangible fair values feed valuation_ip, valuation_technology or valuation_customer into the allocation. Per method: goodwill needs purchase_price + fair_value_net_identifiable_assets; purchase_price_allocation needs purchase_price + tangible_assets_fv + identified_intangibles (optional: liabilities_fv); useful_life needs asset_type (optional: legal_life, economic_factors, obsolescence_rate). identified_intangibles values are summed before goodwill is taken as the residual; liabilities_fv reduces net identifiable assets. Only method is required; all other parameters are method-dependent — supply those the selected method names and omit the rest (defaults apply where defined). Rates and premiums are decimals (0.10 = 10%). Pure arithmetic: no I/O and no external calls, rounded to 2 decimals; parameters belonging to other methods are accepted and ignored. An unknown method, or a missing method-required parameter, returns an error instead of a value.

  Paramètres, retour & exemple (10)

  Paramètres

  • method · string · requis · goodwill | purchase_price_allocation | useful_life
    Formula to apply. Options: goodwill = Goodwill = purchase price - fair value of net identifiable assets.; purchase_price_allocation = Allocate consideration across identified intangibles.; useful_life = Estimate economic/legal useful life of an intangible.
  • asset_type · string · optionnel
    Asset type, e.g. "patent", "trademark", "software", "customer_list".
  • legal_life · number · optionnel
    Legal protection period in years (overrides the asset-type default).
  • liabilities_fv · number · optionnel
    Fair value of assumed liabilities, in currency units.
  • purchase_price · number · optionnel
    Total consideration / purchase price, in currency units.
  • economic_factors · object · optionnel
    Economic adjustment factors, e.g. {"market_growth": 0.05, "competition": 0.4, "tech_change": 0.1}.
  • obsolescence_rate · number · optionnel
    Annual obsolescence rate as a decimal in [0,1].
  • tangible_assets_fv · number · optionnel
    Fair value of tangible assets, in currency units.
  • identified_intangibles · array · optionnel
    Identified intangibles, each {name, value} or {name, fair_value}.
  • fair_value_net_identifiable_assets · number · optionnel
    Fair value of net identifiable assets, in currency units.

  Exemple d'appel

  {"name": "valuation_goodwill_ppa", "arguments": {"method": "goodwill"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"error": "texte", "steps": [], "value": 1, "method": "texte", "assumptions": "texte", "defaults_applied": [], "formula_reference": "texte"}}

• valuation_human_capital≈ 872 tokens

  Human capital: assembled-workforce value by replacement cost and key-person value from revenue contribution and departure risk. Method selects the formula. Use for assembled workforce and key-person intangibles; assembled_workforce nets training and attrition into a replacement cost. For customer-related assets use valuation_customer; for technology assets use valuation_technology. Per method: assembled_workforce needs employee_count + avg_replacement_cost + training_cost + productivity_factor + attrition_rate; key_person needs revenue_contribution + replacement_cost + departure_probability + discount_rate. attrition_rate is in [0,1]; productivity_factor scales the replacement cost (1.0 = parity). Only method is required; all other parameters are method-dependent — supply those the selected method names and omit the rest (defaults apply where defined). Rates and premiums are decimals (0.10 = 10%). Pure arithmetic: no I/O and no external calls, rounded to 2 decimals; parameters belonging to other methods are accepted and ignored. An unknown method, or a missing method-required parameter, returns an error instead of a value.

  Paramètres, retour & exemple (10)

  Paramètres

  • method · string · requis · assembled_workforce | key_person
    Formula to apply. Options: assembled_workforce = Replacement cost including training, net of attrition.; key_person = Revenue contribution and replacement cost under departure risk.
  • discount_rate · number · optionnel
    Per-period discount rate as a decimal (0.10 = 10%).
  • training_cost · number · optionnel
    Training cost per employee, in currency units.
  • attrition_rate · number · optionnel
    Annual attrition rate, in [0,1].
  • employee_count · integer · optionnel
    Number of employees (integer ≥ 0).
  • replacement_cost · number · optionnel
    Cost to replace the key person, in currency units.
  • productivity_factor · number · optionnel
    Productivity factor on replacement cost (1.0 = parity).
  • avg_replacement_cost · number · optionnel
    Average cost to replace one employee, in currency units.
  • revenue_contribution · number · optionnel
    Annual revenue contribution, in currency units.
  • departure_probability · number · optionnel
    Annual probability the key person departs, in [0,1].

  Exemple d'appel

  {"name": "valuation_human_capital", "arguments": {"method": "assembled_workforce"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"error": "texte", "steps": [], "value": 1, "method": "texte", "assumptions": "texte", "defaults_applied": [], "formula_reference": "texte"}}

• valuation_impairment≈ 776 tokens

  Impairment testing: goodwill impairment and intangible impairment under US GAAP (ASC 350) or IFRS (IAS 36). Method selects the formula. Use for annual or triggering-event impairment testing; goodwill_impairment compares a reporting unit's carrying value with its fair value. To compute the initial goodwill or allocation use valuation_goodwill_ppa; for the underlying asset fair values use the relevant asset-type tool. Per method: goodwill_impairment needs carrying_value + fair_value (optional: reporting_unit, standard); intangible_impairment needs carrying_value (optional: fair_value, recoverable_amount, standard). fair_value is required for ASC350; recoverable_amount is required for IAS36. Only method is required; all other parameters are method-dependent — supply those the selected method names and omit the rest (defaults apply where defined). Rates and premiums are decimals (0.10 = 10%). Pure arithmetic: no I/O and no external calls, rounded to 2 decimals; parameters belonging to other methods are accepted and ignored. An unknown method, or a missing method-required parameter, returns an error instead of a value.

  Paramètres, retour & exemple (6)

  Paramètres

  • method · string · requis · goodwill_impairment | intangible_impairment
    Formula to apply. Options: goodwill_impairment = Impairment = carrying value - fair value (if positive).; intangible_impairment = Impairment of an intangible under ASC 350 or IAS 36.
  • standard · string · optionnel · ASC350 | IAS36
    Accounting standard: ASC350 for US GAAP, IAS36 for IFRS.
  • fair_value · number · optionnel
    Fair value of the reporting unit or asset, in currency units.
  • carrying_value · number · optionnel
    Carrying value of the reporting unit or asset, in currency units.
  • reporting_unit · string · optionnel
    Reporting unit name (goodwill only).
  • recoverable_amount · number · optionnel
    Recoverable amount (IAS 36), in currency units.

  Exemple d'appel

  {"name": "valuation_impairment", "arguments": {"method": "goodwill_impairment"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"error": "texte", "steps": [], "value": 1, "method": "texte", "assumptions": "texte", "defaults_applied": [], "formula_reference": "texte"}}

• valuation_income_methods≈ 1295 tokens

  Income approach: relief from royalty, multi-period and single-period excess earnings, incremental cash flow, and contributory asset charges. Method selects the formula. Use for the income-approach arithmetic: relief_from_royalty for IP with observable royalty rates, and excess earnings (mpeem or single_period_excess_earnings) for the residual intangible. For a complete asset-specific valuation of customer, technology, IP or workforce assets, prefer the dedicated valuation_customer, valuation_technology, valuation_ip and valuation_human_capital tools. For royalty-rate inputs use valuation_royalty_analysis; for asset-specific income valuations use valuation_customer, valuation_technology, valuation_ip or valuation_human_capital; for cost or market indications use valuation_cost_approach and valuation_market_approach. Per method: relief_from_royalty needs revenue_projections + royalty_rate + discount_rate + tax_rate + useful_life (optional: tab_enabled); mpeem needs cash_flow_projections + contributory_asset_charges + discount_rate + tax_rate (optional: tab_enabled); single_period_excess_earnings needs normalized_earnings + contributory_asset_charges + capitalization_rate; incremental_cashflow needs cash_flows_with + cash_flows_without + discount_rate; contributory_asset_charges needs assets. cash_flow_projections and contributory_asset_charges must be period-aligned; cash_flows_with and cash_flows_without must be equal length. Only method is required; all other parameters are method-dependent — supply those the selected method names and omit the rest (defaults apply where defined). Rates and premiums are decimals (0.10 = 10%). Pure arithmetic: no I/O and no external calls, rounded to 2 decimals; parameters belonging to other methods are accepted and ignored. An unknown method, or a missing method-required parameter, returns an error instead of a value.

  Paramètres, retour & exemple (14)

  Paramètres

  • assets · array · optionnel
    Contributory assets, each {value, return_rate}.
  • method · string · requis · relief_from_royalty | mpeem | single_period_excess_earnings | incremental_cashflow | contributory_asset_charges
    Formula to apply. Options: relief_from_royalty = PV of after-tax royalties avoided by ownership.; mpeem = PV of excess earnings after contributory asset charges.; single_period_excess_earnings = Capitalize one period of excess earnings.; incremental_cashflow = PV of cash flows with the asset minus without it.; contributory_asset_charges = Total contributory asset charges.
  • tax_rate · number · optionnel
    Marginal tax rate as a decimal (0.25 = 25%).
  • tab_enabled · boolean · optionnel
    Whether to include the tax amortization benefit in the result.
  • useful_life · integer · optionnel
    Useful life in years n (integer ≥ 1).
  • royalty_rate · number · optionnel
    Royalty rate as a decimal (0.05 = 5% of revenue).
  • discount_rate · number · optionnel
    Per-period discount rate as a decimal (0.10 = 10%).
  • cash_flows_with · array · optionnel
    Cash flows per period with the asset, in currency units.
  • cash_flows_without · array · optionnel
    Cash flows per period without the asset, in currency units.
  • capitalization_rate · number · optionnel
    Capitalization rate as a decimal (0.15 = 15%).
  • normalized_earnings · number · optionnel
    Single-period normalized earnings, in currency units.
  • revenue_projections · array · optionnel
    Projected revenue per period t=1..n, in currency units.
  • cash_flow_projections · array · optionnel
    Projected after-tax cash flows per period t=1..n, in currency units.
  • contributory_asset_charges · array · optionnel
    Contributory asset charge per period t=1..n, in currency units.

  Exemple d'appel

  {"name": "valuation_income_methods", "arguments": {"method": "relief_from_royalty"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"error": "texte", "steps": [], "value": 1, "method": "texte", "assumptions": "texte", "defaults_applied": [], "formula_reference": "texte"}}

• valuation_ip≈ 1227 tokens

  Intellectual property: risk-adjusted patent value, trademark/brand value, copyright income value, and trade-secret value under secrecy risk. Method selects the formula. Use to value a specific IP right; patent weights projected cash flows by probability of success, trademark uses brand strength to set the royalty. For technology, software, data, and platform assets use valuation_technology; for customer and workforce assets use valuation_customer and valuation_human_capital. Per method: patent needs remaining_life + cash_flow_projections + probability_of_success + discount_rate (optional: comparable_license_rates); trademark needs revenue + profit_margin + brand_strength_index + discount_rate + useful_life (optional: brand_method); copyright needs projected_revenue + useful_life + discount_rate + royalty_rate; trade_secret needs development_cost + economic_life + competitive_advantage_period + discount_rate + secrecy_probability. cash_flow_projections for patent run over remaining_life. Only method is required; all other parameters are method-dependent — supply those the selected method names and omit the rest (defaults apply where defined). Rates and premiums are decimals (0.10 = 10%). Pure arithmetic: no I/O and no external calls, rounded to 2 decimals; parameters belonging to other methods are accepted and ignored. An unknown method, or a missing method-required parameter, returns an error instead of a value.

  Paramètres, retour & exemple (17)

  Paramètres

  • method · string · requis · patent | trademark | copyright | trade_secret
    Formula to apply. Options: patent = Risk-adjusted DCF over the patent's remaining life.; trademark = Brand value by relief-from-royalty or excess earnings.; copyright = PV of expected copyright royalty income.; trade_secret = Value under secrecy risk over the economic life.
  • revenue · number · optionnel
    Annual revenue attributable to the asset, in currency units.
  • useful_life · integer · optionnel
    Useful life in years n (integer ≥ 1).
  • brand_method · string · optionnel · relief_from_royalty | excess_earnings
    Trademark method: relief_from_royalty adjusts the royalty rate by brand strength; excess_earnings capitalizes excess earnings.
  • royalty_rate · number · optionnel
    Royalty rate as a decimal (0.05 = 5% of revenue).
  • discount_rate · number · optionnel
    Per-period discount rate as a decimal (0.10 = 10%).
  • economic_life · integer · optionnel
    Economic life in years (≥ 1).
  • profit_margin · number · optionnel
    Profit margin as a decimal (0.20 = 20%).
  • remaining_life · integer · optionnel
    Remaining legal/economic life of the patent in years (≥ 0).
  • development_cost · number · optionnel
    Development or acquisition cost, in currency units.
  • projected_revenue · number · optionnel
    Projected annual revenue subject to the copyright royalty, in currency units.
  • secrecy_probability · number · optionnel
    Probability the trade secret remains secret, in [0,1].
  • brand_strength_index · number · optionnel
    Brand strength index on a 0-100 scale (75 = strong).
  • cash_flow_projections · array · optionnel
    Projected after-tax cash flows per period t=1..n, in currency units.
  • probability_of_success · number · optionnel
    Probability of technical and commercial success, in [0,1].
  • comparable_license_rates · array · optionnel
    Comparable license royalty rates as decimals.
  • competitive_advantage_period · integer · optionnel
    Years the competitive advantage is expected to persist (≥ 0).

  Exemple d'appel

  {"name": "valuation_ip", "arguments": {"method": "patent"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"error": "texte", "steps": [], "value": 1, "method": "texte", "assumptions": "texte", "defaults_applied": [], "formula_reference": "texte"}}

• valuation_market_approach≈ 796 tokens

  Market approach: value from comparable transaction revenue multiples or capitalize a royalty stream into a perpetuity value. Method selects the formula. Use when reliable comparable transactions or royalty rates exist for the subject asset. For income-based excess earnings use valuation_income_methods; for royalty-rate selection and adjustment use valuation_royalty_analysis. Per method: comparable_transactions needs comparables + subject_revenue (optional: adjustments); royalty_capitalization needs revenue + royalty_rate + discount_rate. Each comparable is {revenue, multiple}; comparable_transactions applies the comparable multiple to subject_revenue. Only method is required; all other parameters are method-dependent — supply those the selected method names and omit the rest (defaults apply where defined). Rates and premiums are decimals (0.10 = 10%). Pure arithmetic: no I/O and no external calls, rounded to 2 decimals; parameters belonging to other methods are accepted and ignored. An unknown method, or a missing method-required parameter, returns an error instead of a value.

  Paramètres, retour & exemple (7)

  Paramètres

  • method · string · requis · comparable_transactions | royalty_capitalization
    Formula to apply. Options: comparable_transactions = Subject revenue times the median comparable multiple.; royalty_capitalization = Value = (revenue * royalty rate) / discount rate.
  • revenue · number · optionnel
    Annual revenue attributable to the asset, in currency units.
  • adjustments · object · optionnel
    Optional multiplicative adjustments, e.g. {"size": 0.9, "growth": 1.1}.
  • comparables · array · optionnel
    Comparable transactions, each {revenue, multiple}.
  • royalty_rate · number · optionnel
    Royalty rate as a decimal (0.05 = 5% of revenue).
  • discount_rate · number · optionnel
    Per-period discount rate as a decimal (0.10 = 10%).
  • subject_revenue · number · optionnel
    Subject company revenue, in currency units.

  Exemple d'appel

  {"name": "valuation_market_approach", "arguments": {"method": "comparable_transactions"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"error": "texte", "steps": [], "value": 1, "method": "texte", "assumptions": "texte", "defaults_applied": [], "formula_reference": "texte"}}

• valuation_royalty_analysis≈ 895 tokens

  Royalty analysis: benchmark royalty-rate ranges by IP type and industry, adjust a base rate for deal factors, and apply the 25% rule of thumb. Method selects the formula. Use to select and support a royalty rate before a relief-from-royalty or royalty-capitalization valuation. To apply the chosen rate in a valuation use valuation_income_methods (relief_from_royalty) or valuation_market_approach (royalty_capitalization); for transfer-pricing pricing use valuation_compliance. Per method: benchmark needs ip_type + industry (optional: comparable_database); adjust needs base_royalty_rate + adjustment_factors; twenty_five_percent_rule needs licensee_expected_profit (optional: profit_attribution_to_ip). adjustment_factors multiply the base rate, so values above 1.0 raise the rate. Only method is required; all other parameters are method-dependent — supply those the selected method names and omit the rest (defaults apply where defined). Rates and premiums are decimals (0.10 = 10%). Pure arithmetic: no I/O and no external calls, rounded to 2 decimals; parameters belonging to other methods are accepted and ignored. An unknown method, or a missing method-required parameter, returns an error instead of a value.

  Paramètres, retour & exemple (8)

  Paramètres

  • method · string · requis · benchmark | adjust | twenty_five_percent_rule
    Formula to apply. Options: benchmark = Benchmark royalty-rate range by IP type and industry.; adjust = Adjusted rate = base rate * product of factors.; twenty_five_percent_rule = Royalty = licensee profit * IP attribution * 25%.
  • ip_type · string · optionnel
    Intellectual-property type, e.g. "patent", "trademark", "copyright", "trade_secret".
  • industry · string · optionnel
    Industry, e.g. "software", "pharmaceutical".
  • base_royalty_rate · number · optionnel
    Base royalty rate before adjustment, as a decimal (0.05 = 5%).
  • adjustment_factors · object · optionnel
    Multiplicative adjustment factors, e.g. {"profitability": 1.1, "market": 0.9}.
  • comparable_database · array · optionnel
    Optional comparable licenses, each {rate} or {royalty_rate}.
  • licensee_expected_profit · number · optionnel
    Licensee expected profit, in currency units.
  • profit_attribution_to_ip · number · optionnel
    Fraction of profit attributable to the IP, in [0,1].

  Exemple d'appel

  {"name": "valuation_royalty_analysis", "arguments": {"method": "benchmark"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"error": "texte", "steps": [], "value": 1, "method": "texte", "assumptions": "texte", "defaults_applied": [], "formula_reference": "texte"}}

• valuation_simulation≈ 1032 tokens

  Uncertainty analysis: Monte Carlo valuation, Monte Carlo sensitivity ranking, decision-tree expected values, and one-at-a-time sensitivity analysis. Method selects the formula. Use to quantify and stress the uncertainty around a point valuation; monte_carlo simulates all listed inputs, monte_carlo_sensitivity ranks the drivers. For a single deterministic point value use the relevant valuation tool; sensitivity_analysis varies one parameter of a core function only. Per method: monte_carlo needs input_distributions (optional: iterations, seed); monte_carlo_sensitivity needs base_params + distributions (optional: iterations, seed); decision_tree needs tree; sensitivity_analysis needs function_name + parameter_name + parameter_range + fixed_parameters. monte_carlo_sensitivity requires iterations between 1000 and 100000. Only method is required; all other parameters are method-dependent — supply those the selected method names and omit the rest (defaults apply where defined). Rates and premiums are decimals (0.10 = 10%). Pure arithmetic: no I/O and no external calls, rounded to 2 decimals; parameters belonging to other methods are accepted and ignored. An unknown method, or a missing method-required parameter, returns an error instead of a value.

  Paramètres, retour & exemple (11)

  Paramètres

  • seed · integer · optionnel
    Random seed (integer ≥ 0) for reproducible simulations.
  • tree · object · optionnel
    Decision tree {"nodes": [...], "edges": [...]}; node types decision, chance, terminal.
  • method · string · requis · monte_carlo | monte_carlo_sensitivity | decision_tree | sensitivity_analysis
    Formula to apply. Options: monte_carlo = Simulate all listed inputs, sum-based valuation.; monte_carlo_sensitivity = Rank parameters by their impact on the valuation.; decision_tree = Backward induction over a decision tree.; sensitivity_analysis = One-at-a-time sensitivity of a core function.
  • iterations · integer · optionnel
    Simulation iterations; monte_carlo_sensitivity requires 1000-100000.
  • base_params · object · optionnel
    Base values for all parameters, including those held fixed.
  • distributions · object · optionnel
    Map of parameter name to {distribution, params} for the simulated inputs.
  • function_name · string · optionnel
    Core function to vary, e.g. "present_value", "capm_discount_rate", "wacc".
  • parameter_name · string · optionnel
    Name of the parameter to vary.
  • parameter_range · array · optionnel
    Values to test for the varied parameter.
  • fixed_parameters · object · optionnel
    Values for all other parameters, held constant.
  • input_distributions · array · optionnel
    Inputs to simulate, each {name, distribution, params}; distribution is normal (mean, std), uniform (low, high) or triangular (low, high, mode).

  Exemple d'appel

  {"name": "valuation_simulation", "arguments": {"method": "monte_carlo"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"error": "texte", "steps": [], "value": 1, "method": "texte", "assumptions": "texte", "defaults_applied": [], "formula_reference": "texte"}}

• valuation_technology≈ 1208 tokens

  Technology assets: developed technology under life-cycle risk, software under cost and income, data assets with a quality adjustment, and platforms with network effects. Method selects the formula. Use for developed technology, software, data, and platform intangibles; developed_technology and software blend cost and income evidence. For patents, trademarks, copyrights, and trade secrets use valuation_ip; for customer relationships use valuation_customer. Per method: developed_technology needs rd_costs + life_cycle_stage + competitive_advantage + discount_rate + cash_flow_projections; software needs development_cost + maintenance_cost + user_base + revenue_model + useful_life + discount_rate; data_asset needs acquisition_cost + quality_score + revenue_contribution + useful_life + discount_rate; platform needs network_size + network_effects_coefficient + revenue_per_user + growth_rate + discount_rate. cash_flow_projections for developed_technology run over the remaining useful life. Only method is required; all other parameters are method-dependent — supply those the selected method names and omit the rest (defaults apply where defined). Rates and premiums are decimals (0.10 = 10%). Pure arithmetic: no I/O and no external calls, rounded to 2 decimals; parameters belonging to other methods are accepted and ignored. An unknown method, or a missing method-required parameter, returns an error instead of a value.

  Paramètres, retour & exemple (18)

  Paramètres

  • method · string · requis · developed_technology | software | data_asset | platform
    Formula to apply. Options: developed_technology = Cost and income value adjusted for life-cycle stage.; software = Software value from development, maintenance, and revenue.; data_asset = Quality-adjusted revenue contribution plus acquisition cost.; platform = Network-effect revenue grown and discounted.
  • rd_costs · number · optionnel
    Cumulative research and development costs, in currency units.
  • user_base · integer · optionnel
    Number of users (integer ≥ 0).
  • growth_rate · number · optionnel
    Per-period growth rate as a decimal (0.03 = 3%).
  • useful_life · integer · optionnel
    Useful life in years n (integer ≥ 1).
  • network_size · integer · optionnel
    Number of network participants (integer ≥ 0).
  • discount_rate · number · optionnel
    Per-period discount rate as a decimal (0.10 = 10%).
  • quality_score · number · optionnel
    Data quality score, in [0,1].
  • revenue_model · object · optionnel
    Revenue model, e.g. {"subscription_price": 20, "paying_users": 10000}.
  • acquisition_cost · number · optionnel
    Cost to acquire the data, in currency units.
  • development_cost · number · optionnel
    Development or acquisition cost, in currency units.
  • life_cycle_stage · string · optionnel
    Life-cycle stage, e.g. "growth", "mature", "decline".
  • maintenance_cost · number · optionnel
    Annual maintenance cost, in currency units.
  • revenue_per_user · number · optionnel
    Revenue per user, in currency units.
  • revenue_contribution · number · optionnel
    Annual revenue contribution, in currency units.
  • cash_flow_projections · array · optionnel
    Projected after-tax cash flows per period t=1..n, in currency units.
  • competitive_advantage · integer · optionnel
    Years of competitive advantage (≥ 0).
  • network_effects_coefficient · number · optionnel
    Network-effects coefficient scaling revenue with network size (typically 0.5–2.0).

  Exemple d'appel

  {"name": "valuation_technology", "arguments": {"method": "developed_technology"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"error": "texte", "steps": [], "value": 1, "method": "texte", "assumptions": "texte", "defaults_applied": [], "formula_reference": "texte"}}

• valuation_time_value≈ 1036 tokens

  Time value of money: discount or compound a single sum, value level and growing annuities and perpetuities, and compute a terminal value by Gordon growth or exit multiple. Method selects the formula. Use to move cash flows through time or to value a terminal value in a DCF; combine with a rate from valuation_discount_rate. For uneven multi-period cash flows use valuation_income_methods; for rate construction use valuation_discount_rate. Per method: present_value needs future_value + discount_rate + periods; future_value needs present_value + discount_rate + periods; annuity_pv needs payment + discount_rate + periods; perpetuity_pv needs payment + discount_rate; growing_annuity_pv needs payment + discount_rate + growth_rate + periods; terminal_value_gordon_growth needs final_year_cashflow + perpetual_growth_rate + discount_rate; terminal_value_exit_multiple needs final_year_cashflow + exit_multiple. Rates and growth are decimals (0.10 = 10%); for terminal_value_gordon_growth the discount rate must exceed the perpetual growth rate. Only method is required; all other parameters are method-dependent — supply those the selected method names and omit the rest (defaults apply where defined). Rates and premiums are decimals (0.10 = 10%). Pure arithmetic: no I/O and no external calls, rounded to 2 decimals; parameters belonging to other methods are accepted and ignored. An unknown method, or a missing method-required parameter, returns an error instead of a value.

  Paramètres, retour & exemple (10)

  Paramètres

  • method · string · requis · present_value | future_value | annuity_pv | perpetuity_pv | growing_annuity_pv | terminal_value_gordon_growth | terminal_value_exit_multiple
    Formula to apply. Options: present_value = PV = FV / (1 + r)^n.; future_value = FV = PV * (1 + r)^n.; annuity_pv = PV = PMT * [1 - (1 + r)^-n] / r.; perpetuity_pv = PV = PMT / r.; growing_annuity_pv = PV of a constant-growth annuity.; terminal_value_gordon_growth = TV = FCF * (1 + g) / (r - g).; terminal_value_exit_multiple = TV = FCF * exit multiple.
  • payment · number · optionnel
    Recurring payment per period, in currency units.
  • periods · integer · optionnel
    Number of periods n (non-negative).
  • growth_rate · number · optionnel
    Per-period growth rate as a decimal (0.03 = 3%).
  • future_value · number · optionnel
    Future cash amount to discount, in currency units.
  • discount_rate · number · optionnel
    Per-period discount rate as a decimal (0.10 = 10%).
  • exit_multiple · number · optionnel
    Exit multiple applied to the final-year cash flow (e.g. 8.0 for 8x).
  • present_value · number · optionnel
    Present amount to compound, in currency units.
  • final_year_cashflow · number · optionnel
    Final-year projected cash flow (FCF), in currency units.
  • perpetual_growth_rate · number · optionnel
    Perpetual growth rate g as a decimal; must be below discount_rate for Gordon growth.

  Exemple d'appel

  {"name": "valuation_time_value", "arguments": {"method": "present_value"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"error": "texte", "steps": [], "value": 1, "method": "texte", "assumptions": "texte", "defaults_applied": [], "formula_reference": "texte"}}

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Source

https://intangible-valuation.ascent-partners.com/api/mcp