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Calculates valuations for intellectual property, technology, customer-related assets, goodwill, impairment, royalties, and related financial analyses.
功能
工具
14
工具
valuation_compliance
Transfer Pricing & Litigation
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.
只读
幂等
输入模式
{'type': 'object', 'required': ['method'], 'properties': {'method': {'enum': ['cup_transfer_price', 'patent_infringement_damages'], 'type': 'string', 'description': "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': {'type': 'number', 'description': 'Per-period discount rate as a decimal (0.10 = 10%).'}, 'controlled_price': {'type': 'number', 'description': 'Intercompany (controlled) price, in currency units.'}, 'infringement_period': {'type': 'integer', 'description': 'Infringement period in years (≥ 0).'}, 'uncontrolled_prices': {'type': 'array', 'items': {'type': 'number'}, 'description': 'Comparable uncontrolled prices, in currency units.'}, 'lost_profits_or_royalty': {'type': 'number', 'description': 'Annual lost profits or reasonable royalty, in currency units.'}, 'prejudgment_interest_rate': {'type': 'number', 'description': 'Pre-judgment interest rate as a decimal (e.g. 0.05 = 5%).'}}}
输出模式
{'type': 'object', 'required': ['value'], 'properties': {'error': {'type': 'string', 'description': 'Error message when the call fails.'}, 'steps': {'type': 'array', 'items': {}, 'description': 'Intermediate calculation steps for traceability (one string per step).'}, 'value': {'type': 'number', 'description': 'Computed valuation, rate, or metric.'}, 'method': {'type': 'string', 'description': 'Formula / method name that produced the result.'}, 'assumptions': {'description': 'Modelling assumptions applied (list of strings or key/value object).'}, 'formula_reference': {'type': 'string', 'description': 'Mathematical formula or reference applied.'}}}
valuation_cost_approach
Cost Approach
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.
只读
幂等
输入模式
{'type': 'object', 'required': ['method'], 'properties': {'method': {'enum': ['reproduction_cost', 'replacement_cost'], 'type': 'string', 'description': 'Formula to apply. Options: reproduction_cost = Sum of cost categories less total obsolescence.; replacement_cost = Current cost of equivalent utility less obsolescence.'}, 'current_cost': {'type': 'number', 'description': 'Current cost to replace the asset with equivalent utility, in currency units.'}, 'development_costs': {'type': 'object', 'description': 'Cost breakdown by category, e.g. {"r_and_d": 1000000, "testing": 250000}, in currency units.'}, 'obsolescence_factors': {'type': 'object', 'description': 'Obsolescence factors, e.g. {"functional": 0.10, "technological": 0.15, "economic": 0.05}.'}}}
输出模式
{'type': 'object', 'required': ['value'], 'properties': {'error': {'type': 'string', 'description': 'Error message when the call fails.'}, 'steps': {'type': 'array', 'items': {}, 'description': 'Intermediate calculation steps for traceability (one string per step).'}, 'value': {'type': 'number', 'description': 'Computed valuation, rate, or metric.'}, 'method': {'type': 'string', 'description': 'Formula / method name that produced the result.'}, 'assumptions': {'description': 'Modelling assumptions applied (list of strings or key/value object).'}, 'formula_reference': {'type': 'string', 'description': 'Mathematical formula or reference applied.'}}}
valuation_customer
Customer-Related Assets
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.
只读
幂等
输入模式
{'type': 'object', 'required': ['method'], 'properties': {'term': {'type': 'integer', 'description': 'Non-compete term in years (≥ 0).'}, 'method': {'enum': ['customer_relationships', 'distribution_network', 'non_compete'], 'type': 'string', 'description': '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': {'type': 'integer', 'description': 'Useful life in years n (integer ≥ 1).'}, 'channel_count': {'type': 'integer', 'description': 'Number of distribution channels (integer ≥ 0).'}, 'discount_rate': {'type': 'number', 'description': 'Per-period discount rate as a decimal (0.10 = 10%).'}, 'profit_margin': {'type': 'number', 'description': 'Profit margin as a decimal (0.20 = 20%).'}, 'channel_margin': {'type': 'number', 'description': 'Channel profit margin as a decimal in [0,1].'}, 'customer_count': {'type': 'integer', 'description': 'Number of customers (integer ≥ 0).'}, 'retention_rate': {'type': 'number', 'description': 'Annual customer retention rate, in [0,1].'}, 'projection_period': {'type': 'integer', 'description': 'Projection horizon in years (integer ≥ 1).'}, 'protected_revenue': {'type': 'number', 'description': 'Annual revenue protected by the non-compete, in currency units.'}, 'revenue_per_channel': {'type': 'number', 'description': 'Annual revenue per channel, in currency units.'}, 'enforcement_probability': {'type': 'number', 'description': 'Probability the non-compete is enforceable, in [0,1].'}, 'avg_revenue_per_customer': {'type': 'number', 'description': 'Average annual revenue per customer, in currency units.'}}}
输出模式
{'type': 'object', 'required': ['value'], 'properties': {'error': {'type': 'string', 'description': 'Error message when the call fails.'}, 'steps': {'type': 'array', 'items': {}, 'description': 'Intermediate calculation steps for traceability (one string per step).'}, 'value': {'type': 'number', 'description': 'Computed valuation, rate, or metric.'}, 'method': {'type': 'string', 'description': 'Formula / method name that produced the result.'}, 'assumptions': {'description': 'Modelling assumptions applied (list of strings or key/value object).'}, 'formula_reference': {'type': 'string', 'description': 'Mathematical formula or reference applied.'}}}
valuation_discount_rate
Discount & Capitalization Rates
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.
只读
幂等
输入模式
{'type': 'object', 'required': ['method'], 'properties': {'beta': {'type': 'number', 'description': 'Systematic risk beta (market = 1.0).'}, 'method': {'enum': ['build_up', 'capm', 'wacc', 'tax_amortization_benefit', 'control_premium', 'dlom_finnerty', 'currency_adjusted'], 'type': 'string', 'description': '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': {'type': 'number', 'description': 'Marginal tax rate as a decimal (0.25 = 25%).'}, 'base_rate': {'type': 'number', 'description': 'Base discount rate before currency/country adjustment, as a decimal (e.g. 0.12 = 12%).'}, 'debt_value': {'type': 'number', 'description': 'Market value of debt D, in currency units.'}, 'volatility': {'type': 'number', 'description': 'Annualized volatility sigma as a decimal (0.30 = 30%).'}, 'asset_value': {'type': 'number', 'description': 'Asset value the tax amortization benefit is computed on, in currency units.'}, 'useful_life': {'type': 'integer', 'description': 'Useful life in years n (integer ≥ 1).'}, 'cost_of_debt': {'type': 'number', 'description': 'Pre-tax cost of debt Rd as a decimal (e.g. 0.06 = 6%).'}, 'equity_value': {'type': 'number', 'description': 'Market value of equity E, in currency units.'}, 'size_premium': {'type': 'number', 'default': 0.0, 'description': 'Small-size premium as a decimal (e.g. 0.03 = 3%).'}, 'control_price': {'type': 'number', 'description': 'Controlling-interest share price or value, in currency units.'}, 'discount_rate': {'type': 'number', 'description': 'Per-period discount rate as a decimal (0.10 = 10%).'}, 'market_return': {'type': 'number', 'description': 'Expected market return as a decimal (0.10 = 10%).'}, 'cost_of_equity': {'type': 'number', 'description': 'Cost of equity Re as a decimal (e.g. 0.12 = 12%).'}, 'minority_price': {'type': 'number', 'description': 'Minority (pre-control) share price or value, in currency units.'}, 'risk_free_rate': {'type': 'number', 'description': 'Risk-free rate as a decimal (0.04 = 4%).'}, 'restricted_period': {'type': 'number', 'description': 'Restricted / marketability period in years t (≥ 0).'}, 'equity_risk_premium': {'type': 'number', 'description': 'Equity risk premium as a decimal (0.06 = 6%).'}, 'country_risk_premium': {'type': 'number', 'default': 0.0, 'description': 'Country risk premium as a decimal (e.g. 0.03 = 3%).'}, 'currency_risk_premium': {'type': 'number', 'default': 0.0, 'description': 'Currency risk premium as a decimal (e.g. 0.02 = 2%).'}, 'industry_risk_premium': {'type': 'number', 'default': 0.0, 'description': 'Industry risk premium as a decimal (e.g. 0.02 = 2%).'}, 'specific_risk_premium': {'type': 'number', 'default': 0.0, 'description': 'Company-specific risk premium as a decimal (e.g. 0.03 = 3%).'}}}
输出模式
{'type': 'object', 'required': ['value'], 'properties': {'error': {'type': 'string', 'description': 'Error message when the call fails.'}, 'steps': {'type': 'array', 'items': {}, 'description': 'Intermediate calculation steps for traceability (one string per step).'}, 'value': {'type': 'number', 'description': 'Computed valuation, rate, or metric.'}, 'method': {'type': 'string', 'description': 'Formula / method name that produced the result.'}, 'assumptions': {'description': 'Modelling assumptions applied (list of strings or key/value object).'}, 'formula_reference': {'type': 'string', 'description': 'Mathematical formula or reference applied.'}}}
valuation_goodwill_ppa
Goodwill & Purchase Price Allocation
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.
只读
幂等
输入模式
{'type': 'object', 'required': ['method'], 'properties': {'method': {'enum': ['goodwill', 'purchase_price_allocation', 'useful_life'], 'type': 'string', 'description': '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': {'type': 'string', 'description': 'Asset type, e.g. "patent", "trademark", "software", "customer_list".'}, 'legal_life': {'type': 'number', 'description': 'Legal protection period in years (overrides the asset-type default).'}, 'liabilities_fv': {'type': 'number', 'default': 0, 'description': 'Fair value of assumed liabilities, in currency units.'}, 'purchase_price': {'type': 'number', 'description': 'Total consideration / purchase price, in currency units.'}, 'economic_factors': {'type': 'object', 'description': 'Economic adjustment factors, e.g. {"market_growth": 0.05, "competition": 0.4, "tech_change": 0.1}.'}, 'obsolescence_rate': {'type': 'number', 'default': 0.05, 'description': 'Annual obsolescence rate as a decimal in [0,1].'}, 'tangible_assets_fv': {'type': 'number', 'description': 'Fair value of tangible assets, in currency units.'}, 'identified_intangibles': {'type': 'array', 'items': {'type': 'object'}, 'description': 'Identified intangibles, each {name, value} or {name, fair_value}.'}, 'fair_value_net_identifiable_assets': {'type': 'number', 'description': 'Fair value of net identifiable assets, in currency units.'}}}
输出模式
{'type': 'object', 'required': ['value'], 'properties': {'error': {'type': 'string', 'description': 'Error message when the call fails.'}, 'steps': {'type': 'array', 'items': {}, 'description': 'Intermediate calculation steps for traceability (one string per step).'}, 'value': {'type': 'number', 'description': 'Computed valuation, rate, or metric.'}, 'method': {'type': 'string', 'description': 'Formula / method name that produced the result.'}, 'assumptions': {'description': 'Modelling assumptions applied (list of strings or key/value object).'}, 'formula_reference': {'type': 'string', 'description': 'Mathematical formula or reference applied.'}}}
valuation_human_capital
Human Capital
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.
只读
幂等
输入模式
{'type': 'object', 'required': ['method'], 'properties': {'method': {'enum': ['assembled_workforce', 'key_person'], 'type': 'string', 'description': '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': {'type': 'number', 'description': 'Per-period discount rate as a decimal (0.10 = 10%).'}, 'training_cost': {'type': 'number', 'description': 'Training cost per employee, in currency units.'}, 'attrition_rate': {'type': 'number', 'description': 'Annual attrition rate, in [0,1].'}, 'employee_count': {'type': 'integer', 'description': 'Number of employees (integer ≥ 0).'}, 'replacement_cost': {'type': 'number', 'description': 'Cost to replace the key person, in currency units.'}, 'productivity_factor': {'type': 'number', 'description': 'Productivity factor on replacement cost (1.0 = parity).'}, 'avg_replacement_cost': {'type': 'number', 'description': 'Average cost to replace one employee, in currency units.'}, 'revenue_contribution': {'type': 'number', 'description': 'Annual revenue contribution, in currency units.'}, 'departure_probability': {'type': 'number', 'description': 'Annual probability the key person departs, in [0,1].'}}}
输出模式
{'type': 'object', 'required': ['value'], 'properties': {'error': {'type': 'string', 'description': 'Error message when the call fails.'}, 'steps': {'type': 'array', 'items': {}, 'description': 'Intermediate calculation steps for traceability (one string per step).'}, 'value': {'type': 'number', 'description': 'Computed valuation, rate, or metric.'}, 'method': {'type': 'string', 'description': 'Formula / method name that produced the result.'}, 'assumptions': {'description': 'Modelling assumptions applied (list of strings or key/value object).'}, 'formula_reference': {'type': 'string', 'description': 'Mathematical formula or reference applied.'}}}
valuation_impairment
Impairment Testing
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.
只读
幂等
输入模式
{'type': 'object', 'required': ['method'], 'properties': {'method': {'enum': ['goodwill_impairment', 'intangible_impairment'], 'type': 'string', 'description': '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': {'enum': ['ASC350', 'IAS36'], 'type': 'string', 'description': 'Accounting standard: ASC350 for US GAAP, IAS36 for IFRS.'}, 'fair_value': {'type': 'number', 'description': 'Fair value of the reporting unit or asset, in currency units.'}, 'carrying_value': {'type': 'number', 'description': 'Carrying value of the reporting unit or asset, in currency units.'}, 'reporting_unit': {'type': 'string', 'description': 'Reporting unit name (goodwill only).'}, 'recoverable_amount': {'type': 'number', 'description': 'Recoverable amount (IAS 36), in currency units.'}}}
输出模式
{'type': 'object', 'required': ['value'], 'properties': {'error': {'type': 'string', 'description': 'Error message when the call fails.'}, 'steps': {'type': 'array', 'items': {}, 'description': 'Intermediate calculation steps for traceability (one string per step).'}, 'value': {'type': 'number', 'description': 'Computed valuation, rate, or metric.'}, 'method': {'type': 'string', 'description': 'Formula / method name that produced the result.'}, 'assumptions': {'description': 'Modelling assumptions applied (list of strings or key/value object).'}, 'formula_reference': {'type': 'string', 'description': 'Mathematical formula or reference applied.'}}}
valuation_income_methods
Income Methods
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.
只读
幂等
输入模式
{'type': 'object', 'required': ['method'], 'properties': {'assets': {'type': 'array', 'items': {'type': 'object'}, 'description': 'Contributory assets, each {value, return_rate}.'}, 'method': {'enum': ['relief_from_royalty', 'mpeem', 'single_period_excess_earnings', 'incremental_cashflow', 'contributory_asset_charges'], 'type': 'string', 'description': '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': {'type': 'number', 'description': 'Marginal tax rate as a decimal (0.25 = 25%).'}, 'tab_enabled': {'type': 'boolean', 'default': True, 'description': 'Whether to include the tax amortization benefit in the result.'}, 'useful_life': {'type': 'integer', 'description': 'Useful life in years n (integer ≥ 1).'}, 'royalty_rate': {'type': 'number', 'description': 'Royalty rate as a decimal (0.05 = 5% of revenue).'}, 'discount_rate': {'type': 'number', 'description': 'Per-period discount rate as a decimal (0.10 = 10%).'}, 'cash_flows_with': {'type': 'array', 'items': {'type': 'number'}, 'description': 'Cash flows per period with the asset, in currency units.'}, 'cash_flows_without': {'type': 'array', 'items': {'type': 'number'}, 'description': 'Cash flows per period without the asset, in currency units.'}, 'capitalization_rate': {'type': 'number', 'description': 'Capitalization rate as a decimal (0.15 = 15%).'}, 'normalized_earnings': {'type': 'number', 'description': 'Single-period normalized earnings, in currency units.'}, 'revenue_projections': {'type': 'array', 'items': {'type': 'number'}, 'description': 'Projected revenue per period t=1..n, in currency units.'}, 'cash_flow_projections': {'type': 'array', 'items': {'type': 'number'}, 'description': 'Projected after-tax cash flows per period t=1..n, in currency units.'}, 'contributory_asset_charges': {'type': 'array', 'items': {'type': 'number'}, 'description': 'Contributory asset charge per period t=1..n, in currency units.'}}}
输出模式
{'type': 'object', 'required': ['value'], 'properties': {'error': {'type': 'string', 'description': 'Error message when the call fails.'}, 'steps': {'type': 'array', 'items': {}, 'description': 'Intermediate calculation steps for traceability (one string per step).'}, 'value': {'type': 'number', 'description': 'Computed valuation, rate, or metric.'}, 'method': {'type': 'string', 'description': 'Formula / method name that produced the result.'}, 'assumptions': {'description': 'Modelling assumptions applied (list of strings or key/value object).'}, 'formula_reference': {'type': 'string', 'description': 'Mathematical formula or reference applied.'}}}
valuation_ip
Intellectual Property
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.
只读
幂等
输入模式
{'type': 'object', 'required': ['method'], 'properties': {'method': {'enum': ['patent', 'trademark', 'copyright', 'trade_secret'], 'type': 'string', 'description': "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': {'type': 'number', 'description': 'Annual revenue attributable to the asset, in currency units.'}, 'useful_life': {'type': 'integer', 'description': 'Useful life in years n (integer ≥ 1).'}, 'brand_method': {'enum': ['relief_from_royalty', 'excess_earnings'], 'type': 'string', 'description': 'Trademark method: relief_from_royalty adjusts the royalty rate by brand strength; excess_earnings capitalizes excess earnings.'}, 'royalty_rate': {'type': 'number', 'description': 'Royalty rate as a decimal (0.05 = 5% of revenue).'}, 'discount_rate': {'type': 'number', 'description': 'Per-period discount rate as a decimal (0.10 = 10%).'}, 'economic_life': {'type': 'integer', 'description': 'Economic life in years (≥ 1).'}, 'profit_margin': {'type': 'number', 'description': 'Profit margin as a decimal (0.20 = 20%).'}, 'remaining_life': {'type': 'integer', 'description': 'Remaining legal/economic life of the patent in years (≥ 0).'}, 'development_cost': {'type': 'number', 'description': 'Development or acquisition cost, in currency units.'}, 'projected_revenue': {'type': 'number', 'description': 'Projected annual revenue subject to the copyright royalty, in currency units.'}, 'secrecy_probability': {'type': 'number', 'description': 'Probability the trade secret remains secret, in [0,1].'}, 'brand_strength_index': {'type': 'number', 'description': 'Brand strength index on a 0-100 scale (75 = strong).'}, 'cash_flow_projections': {'type': 'array', 'items': {'type': 'number'}, 'description': 'Projected after-tax cash flows per period t=1..n, in currency units.'}, 'probability_of_success': {'type': 'number', 'description': 'Probability of technical and commercial success, in [0,1].'}, 'comparable_license_rates': {'type': 'array', 'items': {'type': 'number'}, 'description': 'Comparable license royalty rates as decimals.'}, 'competitive_advantage_period': {'type': 'integer', 'description': 'Years the competitive advantage is expected to persist (≥ 0).'}}}
输出模式
{'type': 'object', 'required': ['value'], 'properties': {'error': {'type': 'string', 'description': 'Error message when the call fails.'}, 'steps': {'type': 'array', 'items': {}, 'description': 'Intermediate calculation steps for traceability (one string per step).'}, 'value': {'type': 'number', 'description': 'Computed valuation, rate, or metric.'}, 'method': {'type': 'string', 'description': 'Formula / method name that produced the result.'}, 'assumptions': {'description': 'Modelling assumptions applied (list of strings or key/value object).'}, 'formula_reference': {'type': 'string', 'description': 'Mathematical formula or reference applied.'}}}
valuation_market_approach
Market Approach
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.
只读
幂等
输入模式
{'type': 'object', 'required': ['method'], 'properties': {'method': {'enum': ['comparable_transactions', 'royalty_capitalization'], 'type': 'string', 'description': 'Formula to apply. Options: comparable_transactions = Subject revenue times the median comparable multiple.; royalty_capitalization = Value = (revenue * royalty rate) / discount rate.'}, 'revenue': {'type': 'number', 'description': 'Annual revenue attributable to the asset, in currency units.'}, 'adjustments': {'type': 'object', 'description': 'Optional multiplicative adjustments, e.g. {"size": 0.9, "growth": 1.1}.'}, 'comparables': {'type': 'array', 'items': {'type': 'object'}, 'description': 'Comparable transactions, each {revenue, multiple}.'}, 'royalty_rate': {'type': 'number', 'description': 'Royalty rate as a decimal (0.05 = 5% of revenue).'}, 'discount_rate': {'type': 'number', 'description': 'Per-period discount rate as a decimal (0.10 = 10%).'}, 'subject_revenue': {'type': 'number', 'description': 'Subject company revenue, in currency units.'}}}
输出模式
{'type': 'object', 'required': ['value'], 'properties': {'error': {'type': 'string', 'description': 'Error message when the call fails.'}, 'steps': {'type': 'array', 'items': {}, 'description': 'Intermediate calculation steps for traceability (one string per step).'}, 'value': {'type': 'number', 'description': 'Computed valuation, rate, or metric.'}, 'method': {'type': 'string', 'description': 'Formula / method name that produced the result.'}, 'assumptions': {'description': 'Modelling assumptions applied (list of strings or key/value object).'}, 'formula_reference': {'type': 'string', 'description': 'Mathematical formula or reference applied.'}}}
valuation_royalty_analysis
Royalty Rate Analysis
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.
只读
幂等
输入模式
{'type': 'object', 'required': ['method'], 'properties': {'method': {'enum': ['benchmark', 'adjust', 'twenty_five_percent_rule'], 'type': 'string', 'description': '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': {'type': 'string', 'description': 'Intellectual-property type, e.g. "patent", "trademark", "copyright", "trade_secret".'}, 'industry': {'type': 'string', 'description': 'Industry, e.g. "software", "pharmaceutical".'}, 'base_royalty_rate': {'type': 'number', 'description': 'Base royalty rate before adjustment, as a decimal (0.05 = 5%).'}, 'adjustment_factors': {'type': 'object', 'description': 'Multiplicative adjustment factors, e.g. {"profitability": 1.1, "market": 0.9}.'}, 'comparable_database': {'type': 'array', 'items': {'type': 'object'}, 'description': 'Optional comparable licenses, each {rate} or {royalty_rate}.'}, 'licensee_expected_profit': {'type': 'number', 'description': 'Licensee expected profit, in currency units.'}, 'profit_attribution_to_ip': {'type': 'number', 'default': 1.0, 'description': 'Fraction of profit attributable to the IP, in [0,1].'}}}
输出模式
{'type': 'object', 'required': ['value'], 'properties': {'error': {'type': 'string', 'description': 'Error message when the call fails.'}, 'steps': {'type': 'array', 'items': {}, 'description': 'Intermediate calculation steps for traceability (one string per step).'}, 'value': {'type': 'number', 'description': 'Computed valuation, rate, or metric.'}, 'method': {'type': 'string', 'description': 'Formula / method name that produced the result.'}, 'assumptions': {'description': 'Modelling assumptions applied (list of strings or key/value object).'}, 'formula_reference': {'type': 'string', 'description': 'Mathematical formula or reference applied.'}}}
valuation_simulation
Uncertainty & Sensitivity
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.
只读
幂等
输入模式
{'type': 'object', 'required': ['method'], 'properties': {'seed': {'type': 'integer', 'description': 'Random seed (integer ≥ 0) for reproducible simulations.'}, 'tree': {'type': 'object', 'description': 'Decision tree {"nodes": [...], "edges": [...]}; node types decision, chance, terminal.'}, 'method': {'enum': ['monte_carlo', 'monte_carlo_sensitivity', 'decision_tree', 'sensitivity_analysis'], 'type': 'string', 'description': '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': {'type': 'integer', 'default': 10000, 'description': 'Simulation iterations; monte_carlo_sensitivity requires 1000-100000.'}, 'base_params': {'type': 'object', 'description': 'Base values for all parameters, including those held fixed.'}, 'distributions': {'type': 'object', 'description': 'Map of parameter name to {distribution, params} for the simulated inputs.'}, 'function_name': {'type': 'string', 'description': 'Core function to vary, e.g. "present_value", "capm_discount_rate", "wacc".'}, 'parameter_name': {'type': 'string', 'description': 'Name of the parameter to vary.'}, 'parameter_range': {'type': 'array', 'items': {'type': 'number'}, 'description': 'Values to test for the varied parameter.'}, 'fixed_parameters': {'type': 'object', 'description': 'Values for all other parameters, held constant.'}, 'input_distributions': {'type': 'array', 'items': {'type': 'object'}, 'description': 'Inputs to simulate, each {name, distribution, params}; distribution is normal (mean, std), uniform (low, high) or triangular (low, high, mode).'}}}
输出模式
{'type': 'object', 'required': ['value'], 'properties': {'error': {'type': 'string', 'description': 'Error message when the call fails.'}, 'steps': {'type': 'array', 'items': {}, 'description': 'Intermediate calculation steps for traceability (one string per step).'}, 'value': {'type': 'number', 'description': 'Computed valuation, rate, or metric.'}, 'method': {'type': 'string', 'description': 'Formula / method name that produced the result.'}, 'assumptions': {'description': 'Modelling assumptions applied (list of strings or key/value object).'}, 'formula_reference': {'type': 'string', 'description': 'Mathematical formula or reference applied.'}}}
valuation_technology
Technology Assets
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.
只读
幂等
输入模式
{'type': 'object', 'required': ['method'], 'properties': {'method': {'enum': ['developed_technology', 'software', 'data_asset', 'platform'], 'type': 'string', 'description': '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': {'type': 'number', 'description': 'Cumulative research and development costs, in currency units.'}, 'user_base': {'type': 'integer', 'description': 'Number of users (integer ≥ 0).'}, 'growth_rate': {'type': 'number', 'description': 'Per-period growth rate as a decimal (0.03 = 3%).'}, 'useful_life': {'type': 'integer', 'description': 'Useful life in years n (integer ≥ 1).'}, 'network_size': {'type': 'integer', 'description': 'Number of network participants (integer ≥ 0).'}, 'discount_rate': {'type': 'number', 'description': 'Per-period discount rate as a decimal (0.10 = 10%).'}, 'quality_score': {'type': 'number', 'description': 'Data quality score, in [0,1].'}, 'revenue_model': {'type': 'object', 'description': 'Revenue model, e.g. {"subscription_price": 20, "paying_users": 10000}.'}, 'acquisition_cost': {'type': 'number', 'description': 'Cost to acquire the data, in currency units.'}, 'development_cost': {'type': 'number', 'description': 'Development or acquisition cost, in currency units.'}, 'life_cycle_stage': {'type': 'string', 'description': 'Life-cycle stage, e.g. "growth", "mature", "decline".'}, 'maintenance_cost': {'type': 'number', 'description': 'Annual maintenance cost, in currency units.'}, 'revenue_per_user': {'type': 'number', 'description': 'Revenue per user, in currency units.'}, 'revenue_contribution': {'type': 'number', 'description': 'Annual revenue contribution, in currency units.'}, 'cash_flow_projections': {'type': 'array', 'items': {'type': 'number'}, 'description': 'Projected after-tax cash flows per period t=1..n, in currency units.'}, 'competitive_advantage': {'type': 'integer', 'description': 'Years of competitive advantage (≥ 0).'}, 'network_effects_coefficient': {'type': 'number', 'description': 'Network-effects coefficient scaling revenue with network size (typically 0.5–2.0).'}}}
输出模式
{'type': 'object', 'required': ['value'], 'properties': {'error': {'type': 'string', 'description': 'Error message when the call fails.'}, 'steps': {'type': 'array', 'items': {}, 'description': 'Intermediate calculation steps for traceability (one string per step).'}, 'value': {'type': 'number', 'description': 'Computed valuation, rate, or metric.'}, 'method': {'type': 'string', 'description': 'Formula / method name that produced the result.'}, 'assumptions': {'description': 'Modelling assumptions applied (list of strings or key/value object).'}, 'formula_reference': {'type': 'string', 'description': 'Mathematical formula or reference applied.'}}}
valuation_time_value
Time Value of Money
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.
只读
幂等
输入模式
{'type': 'object', 'required': ['method'], 'properties': {'method': {'enum': ['present_value', 'future_value', 'annuity_pv', 'perpetuity_pv', 'growing_annuity_pv', 'terminal_value_gordon_growth', 'terminal_value_exit_multiple'], 'type': 'string', 'description': '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': {'type': 'number', 'description': 'Recurring payment per period, in currency units.'}, 'periods': {'type': 'integer', 'description': 'Number of periods n (non-negative).'}, 'growth_rate': {'type': 'number', 'description': 'Per-period growth rate as a decimal (0.03 = 3%).'}, 'future_value': {'type': 'number', 'description': 'Future cash amount to discount, in currency units.'}, 'discount_rate': {'type': 'number', 'description': 'Per-period discount rate as a decimal (0.10 = 10%).'}, 'exit_multiple': {'type': 'number', 'description': 'Exit multiple applied to the final-year cash flow (e.g. 8.0 for 8x).'}, 'present_value': {'type': 'number', 'description': 'Present amount to compound, in currency units.'}, 'final_year_cashflow': {'type': 'number', 'description': 'Final-year projected cash flow (FCF), in currency units.'}, 'perpetual_growth_rate': {'type': 'number', 'description': 'Perpetual growth rate g as a decimal; must be below discount_rate for Gordon growth.'}}}
输出模式
{'type': 'object', 'required': ['value'], 'properties': {'error': {'type': 'string', 'description': 'Error message when the call fails.'}, 'steps': {'type': 'array', 'items': {}, 'description': 'Intermediate calculation steps for traceability (one string per step).'}, 'value': {'type': 'number', 'description': 'Computed valuation, rate, or metric.'}, 'method': {'type': 'string', 'description': 'Formula / method name that produced the result.'}, 'assumptions': {'description': 'Modelling assumptions applied (list of strings or key/value object).'}, 'formula_reference': {'type': 'string', 'description': 'Mathematical formula or reference applied.'}}}
历史
近期工具变更
已添加
valuation_compliance
2026年10月2日 02:40
已添加
valuation_simulation
2026年10月2日 02:40
已添加
valuation_royalty_analysis
2026年10月2日 02:40
已添加
valuation_impairment
2026年10月2日 02:40
已添加
valuation_goodwill_ppa
2026年10月2日 02:40
已添加
valuation_human_capital
2026年10月2日 02:40
已添加
valuation_customer
2026年10月2日 02:40
已添加
valuation_technology
2026年10月2日 02:40
已添加
valuation_ip
2026年10月2日 02:40
已添加
valuation_income_methods
2026年10月2日 02:40
已添加
valuation_market_approach
2026年10月2日 02:40
已添加
valuation_cost_approach
2026年10月2日 02:40
已添加
valuation_discount_rate
2026年10月2日 02:40
已添加
valuation_time_value
2026年10月2日 02:40
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