Transfer Pricing
Benchmark intercompany transactions using royalty, service, lease, and contract data supported by clause evidence, related-party signals, DEMPE indicators, and audit-relevant context.
Clause evidence · Related-party signals · DEMPEWhat DataAlchemist Is
DataAlchemist is a transfer pricing database and intelligence platform built for professionals who need reliable comparable data with context. It combines a royalty rates database with service fee benchmarks, lease benchmarks, and contract intelligence, supported by source evidence from agreements, filings, patents, and market disclosures.
The platform helps users move beyond the headline rate. Each record is structured to show the terms of the transaction, the relevant evidence, the business context, and the comparability factors that determine whether a record belongs in the analysis.
For transfer pricing, IP valuation, and advisory work, the result is not an isolated data point, but a source-linked transaction profile.
Extracted Benchmark Row · R-18582
Form view — what the table captures
Qiantu Motor Ltd. Mullen Automotive, Inc.
Rate5.0%
IP TypePatent · Trademark
RightsManufacture · Sell
Duration15y
ProductElectric sports car
ExclusivityExclusive
Form row opened into functional analysis
Functional Analysis
Licensor
Qiantu Motor Ltd.
Brand-value guardian · structural owner
AgreementExternal
Develop——
MaintainQuality control—
ProtectIP protection—
Exploit——
Holds & protects titleCN · 25%
Licensee
Mullen Automotive, Inc.
Full exploitation licensee
AgreementExternal
Develop—R&D
Maintain——
Protect——
Exploit—Manufacturing
Develops & exploitsUS · 21%
Analytical note · Multi-Component Rights
Agreement grants Mullen the right to manufacture and sell; Qiantu guards the brand and holds title. A public filing confirms Mullen performs that manufacturing and also develops the IP, conduct supplementing a thin contract. The full functional set warrants review before benchmarking 5.0%.
Why Extracted Comparables Are Not Enough
Traditional comparables databases were assembled from extracted fields: rates, dates, industries, agreement titles, payment terms, and contract text. Those fields remain necessary, but they are no longer enough for high-stakes transfer pricing and valuation work.
Modern benchmarking depends on context. What rights were granted? How was the payment base defined? Were the parties related? What functions did each party perform? Does the contract form align with the economic substance of the arrangement?
DataAlchemist is built around that broader standard. It helps teams identify cleaner transfer pricing comparables, reduce false comparables, and support benchmark sets where the analysis has to hold up.
Games licensing · royalty rate
Industry: Games
The market median hides the developer’s premium.
The licensor that actually develops the IP prices well above the pooled range.
The Edgar Intelligence Layer
Edgar is DataAlchemist’s in-house, domain-trained AI model, built to reconstruct the transaction behind a benchmark.
For decades, a royalty comparable could rest on the agreement alone: the terms within the four corners of the licensed transaction. The substance era changed the question. Establishing who develops, controls, and exploits an intangible calls for evidence no single agreement holds. Edgar assembles it, connecting each transaction to the wider corporate record disclosed across public filings and combining the pieces into one coherent economic picture. The agreement is a single piece of the puzzle. Edgar reads the whole board.
- Recency. Current-market royalty evidence, sourced from recent filings rather than only those old enough to clear a public-records request.
- Mosaic. Every transaction set against the evidence around it (its functions, roles, control, and operational signal), read from the record rather than assumed from the contract.
- Scale. A layered, multi-flow production system characterizes substance across the entire set, not hand-checked for a chosen few.
- Enrichment. Context drawn from beyond the agreement, including what the transaction itself never names.
- Systematic reconstruction. What comparability has always required by hand, Edgar does by default.
- Analyst-validated. Edgar assembles and structures the evidence; a domain specialist reviews and confirms every record before it enters a benchmark set.
A benchmark built from the agreement alone is no longer sufficient.
How Records Are Built
DataAlchemist is built around three connected layers.
Source Evidence
The starting point is verifiable source material: license agreements, service contracts, leases, patents, filings, press releases, and corporate disclosures.
Structured Intelligence
DataAlchemist converts source material into comparable records: normalized terms, payment bases, rights granted, IP type, industry context, relationship indicators, DEMPE evidence, and role signals.
Comparability Engine
Users can test benchmark sets across both form and substance: industry, IP family, licensed rights, relationship, royalty base, functional profile, evidence depth, and risk indicators.
Output — a benchmark set that holds up
Core Workflows
Royalty Rates
Build royalty benchmark sets with normalized licensing terms, payment structures, evidence packs, DEMPE signals, and industry-level royalty distributions.
Normalized terms · Distributions · Evidence packsIP Valuation & Deal Advisory
Support valuation, licensing, PPA, technology transfer, reasonable royalty, and expert analysis with comparable licensing transactions connected to technical, market, regulatory, and contractual evidence.
PPA · Technology transfer · Reasonable royaltyBenchmark Assets
DataAlchemist provides access to benchmark assets across royalty rates, service fees, leases, contract intelligence, and evidence packs. These assets support transfer pricing benchmarking, royalty rate analysis, IP valuation, and advisory workflows where traceability and comparability matter.
01
Royalty Rates
Licensing transactions with normalized terms, payment bases, rights granted, and industry context.
DA / RR
02
Service Fees
Service fee benchmarks for intercompany and market service arrangements.
DA / SF
03
Lease Benchmarks
Lease transaction records supporting benchmarking of property and asset arrangements.
DA / LB
04
Contract Intelligence
Clause-level terms and structures drawn directly from source agreements.
DA / CI
05
Evidence Packs
Source-linked support connecting each record to the documents behind it.
DA / EP
The value is not in raw volume. The value is in normalized fields, contextual enrichment, source-linked records, and the ability to understand why a transaction is comparable.
Questions an IP benchmark should answer
Three questions determine whether a transfer pricing comparable can support the analysis, and where the evidence should be found.
What makes a royalty comparable defensible?
Not the rate alone. A comparable holds up in an arm’s-length analysis when its substance is traceable: the rights granted, the payment base, the functions performed, the risks controlled, and the source evidence behind the transaction, not just a matched industry label.
Why is the royalty rate not enough?
Two licenses can show the same rate and reflect different economics. One may involve a passive title holder; another, a party that develops, controls, and exploits the IP. The rate is the form. Comparability sits in the transaction behind it.
What is DEMPE evidence, and where does it come from?
DEMPE evidence shows which party develops, enhances, maintains, protects, and exploits the intangible. Much of that evidence sits outside the agreement, in filings, disclosures, announcements, patents, and other public source materials. That is why source-linked conduct evidence matters.
Access Model
DataAlchemist access is organized around professional benchmarking workflows.
Annual
Annual access supports individual professionals and recurring team use.
Team & Practice
Team and practice models support broader licensing, shared use, governed benchmark outputs, evidence needs, and workflow support.
Institutional
Institutional access can be structured for multi-team or practice-wide use where benchmarking activity is continuous.
The objective is controlled access to a benchmark intelligence asset, not a flat repository of disconnected records.