API License Agreement: Trading Data

📅 Updated Dec 2025 ⏱ 24 min read CONTRACTS DATA

Why Data Licensing Gets Expensive Fast

Trading data APIs represent some of the most valuable—and legally complex—digital products in financial technology. Whether you're licensing market data, trading signals, or analytics, the wrong licensing terms can expose you to unlimited liability, regulatory violations, and catastrophic intellectual property losses.

I've structured and negotiated data licensing agreements for trading platforms ranging from solo algorithmic traders to multi-billion dollar hedge funds. This guide breaks down every critical provision, from usage rights to termination clauses, so you can protect your data (if you're the licensor) or avoid getting trapped in predatory terms (if you're the licensee).

⚠ Redistribution Violations

The fastest way to destroy a data licensing business is unauthorized redistribution. Licensees who "accidentally" share API access with customers, partners, or affiliates can face immediate termination, six-figure breach claims, and exchange sanctions. Every agreement must have crystal-clear redistribution prohibitions with technical controls.

Scope of License & Usage Rights

The license grant is the foundation of the entire agreement. It defines what the licensee can and cannot do with the data.

Core License Grant Elements

Usage Rights Comparison Table

License TypePermitted UseTypical PricingWhen to Use
Internal Use Only Licensee's employees/systems only $500 - $5,000/mo Hedge funds, prop trading firms
Customer-Facing Display data to end users $2,000 - $25,000/mo Trading platforms, robo-advisers
Redistribution Resell or sublicense data $10,000 - $100,000+/mo Data aggregators, broker-dealers
Derivative Products Build new products from data Custom + revenue share Analytics firms, signal providers
Market Data (Exchange) Real-time quotes/trades $50 - $500 per user/mo Professional traders, platforms

💡 Exchange Data Licensing Pass-Through

If your API includes data from regulated exchanges (NYSE, NASDAQ, CME, etc.), you're subject to their licensing terms and fees—even if you don't have a direct relationship with them. These pass-through obligations can multiply your costs and compliance burden. Always review the licensor's upstream data agreements.

Rate Limits & Access Controls

Rate limiting is how licensors manage infrastructure costs and prevent abuse. As a licensee, these limits determine whether the API can meet your performance requirements.

Rate Limit Structures

TierRate LimitDaily QuotaMonthly CostOverage Fee
Starter 5 req/sec 50,000 $100 $0.01/request
Professional 25 req/sec 500,000 $500 $0.005/request
Enterprise 100 req/sec 5,000,000 $2,500 $0.002/request
Custom Negotiated Unlimited Custom N/A

⚠ Throttling vs. Hard Cutoff

When you exceed rate limits, does the API throttle (slow down) or hard cutoff (reject requests)? Hard cutoffs can crash your trading algorithms mid-execution. Always negotiate for throttling with warnings before cutoff, and implement exponential backoff in your code.

Access Control Requirements

Redistribution Prohibitions

This is the provision that protects the licensor's business model. Redistribution clauses must be airtight and technically enforceable.

Prohibited Activities

🚨 Unauthorized Redistribution Examples

  • Sharing API credentials: Giving API keys to third parties, even temporarily
  • Screen scraping/mirroring: Copying data to create a competing database or API
  • Aggregation services: Combining licensed data with other sources and reselling
  • Public display: Publishing data on public websites without attribution/licensing
  • Data caching beyond limits: Storing historical data beyond permitted retention period
  • Sublicensing: Licensing access to customers, affiliates, or partners without consent
  • Model training: Using data to train AI/ML models for resale (unless explicitly permitted)
  • Benchmarking products: Creating competing data products based on licensed data

Technical Controls for Redistribution Prevention

Control TypeImplementationEffectivenessLicensee Impact
API Key Binding Keys tied to IP/domain High Low - standard practice
Watermarking Unique identifiers in data High None - invisible
Rate Limiting Prevent bulk downloads Medium Medium - may limit use cases
Usage Audits Log analysis for patterns Medium Low - background monitoring
Data Expiry Time-limited data validity Low High - requires constant refresh

💡 Permitted Redistribution Carve-Outs

Even strict no-redistribution clauses typically allow: (1) display to authenticated end users in licensee's application, (2) sharing with licensee's legal/compliance advisors under NDA, (3) disclosures required by law/regulation, (4) aggregate statistics without underlying data. Always define these exceptions explicitly.

Attribution Requirements

Attribution protects the licensor's brand and creates marketing value. Requirements vary widely based on data type and licensing tier.

Standard Attribution Language

Use CaseAttribution RequirementPlacementExample
Website Display Adjacent to data Visible on same page "Data provided by [Licensor]"
Mobile App In-app attribution Settings or data view "Market data: [Licensor]"
API Response Attribution field in JSON Every API response {"source": "Licensor"}
Printed Reports Footer or cover page Every page or report "Source: [Licensor] API"
Derivative Works Prominent attribution Product description "Powered by [Licensor] data"
Internal Use Only None required N/A

💡 Trademark Restrictions

Attribution does not grant trademark rights. Licensee cannot use licensor's logo, brand name, or trademarks beyond the required attribution without separate written permission. Implied endorsement is strictly prohibited—you can say "Data from X" but not "Endorsed by X" or "Powered by X" (unless explicitly allowed).

Attribution Enforcement Checklist

Liability for Data Accuracy

Trading data must be accurate, but mistakes happen. Who bears the risk when data is wrong, delayed, or incomplete?

Data Accuracy Disclaimers

⚠ "As-Is" Data Disclaimers

Nearly all trading data licenses include "as-is" disclaimers: licensor provides data without warranties of accuracy, completeness, timeliness, or fitness for any purpose. This shifts all risk to the licensee. If bad data causes trading losses, the licensee typically has no recourse unless gross negligence is proven.

Warranty and Liability Matrix

Data IssueLicensor PositionLicensee RecourseNegotiate For
Incorrect Data No liability None Correction SLA or credit
Delayed Data No liability None Latency SLA with penalties
Missing Data No liability None Uptime guarantee
API Downtime Limited SLA credit Service credit only Refund or termination right
Data Breach/Leak Licensor negligence Potential damages Insurance requirement
Regulatory Violation Licensee responsible Indemnification Split responsibility

Liability Caps

💡 SLA-Based Remedies

Instead of warranties, negotiate Service Level Agreements with measurable metrics: (1) 99.9% API uptime, (2) 95% data accuracy (where verifiable), (3) maximum latency thresholds. Breaches trigger service credits, not damages—but it's better than nothing.

Termination & Data Deletion

What happens when the license ends? This section determines whether you keep access to historical data, how quickly you must delete it, and what happens to derivative works.

Termination Triggers

Post-Termination Obligations

Asset/ObligationLicensor PositionLicensee PositionTypical Compromise
API Access Immediate cutoff 30-day wind-down 7-14 day transition period
Cached Historical Data Delete within 24 hours Retain indefinitely 30-90 day deletion timeline
Derivative Works Delete all derivatives Retain our IP Aggregated/anonymized data OK
Customer Data Licensor has no claim We own customer data ✓ Agreed
Prepaid Fees No refund Pro-rata refund Refund if licensor terminates
Outstanding Fees Immediately due 30-day payment terms Due within 30 days

💡 Data Deletion Certification

Many licensors require a signed officer's certificate confirming deletion of all licensed data within 30 days of termination. Failure to provide this certification can result in ongoing liability, injunctive relief, or breach claims. Implement data retention policies and deletion procedures from day one.

Survival Clauses

These obligations survive termination of the agreement:

Pricing & Payment Terms

Trading data licensing has complex pricing models. Understanding the structure helps you negotiate better rates and avoid surprise costs.

Common Pricing Models

ModelHow It WorksProsCons
Per-User Subscription Monthly fee × number of users Scales with usage; predictable Expensive at scale; user counting disputes
Tiered API Access Fixed tiers based on rate limits Simple; easy to budget Overage fees can spike costs
Revenue Share % of revenue from data-driven products Aligns incentives; low upfront cost Complex accounting; audit exposure
Data Volume Fee per GB or per million records Fair for bulk data consumers Unpredictable costs; hard to forecast
Enterprise Flat Fee Unlimited access for fixed annual fee Predictable; no overages Expensive upfront; "all you can eat" risk
Usage-Based Pay per API call or data point Only pay for what you use Highly variable; difficult to budget

✅ Negotiating Volume Discounts

Most licensors offer volume discounts at defined thresholds. Typical breakpoints: 100 users (10% discount), 500 users (20%), 1,000 users (30%), 5,000+ users (custom pricing). Negotiate these thresholds upfront and include them in the contract—don't rely on verbal promises.

Payment Terms & Billing

Audit Rights

Revenue share and per-user agreements typically include audit rights:

⚠ Underpayment Penalties

If an audit reveals underpayment of 10% or more, licensee typically must pay: (1) the shortfall, (2) interest from the date payment was due, (3) the cost of the audit, and (4) potential penalty of 1.5-2x the underpayment. This can turn a $10,000 shortfall into a $50,000+ liability.

Regulatory Compliance & Exchange Requirements

Trading data often comes from regulated exchanges or must comply with securities regulations. These obligations flow through to licensees.

Exchange Data Requirements

ExchangeKey RequirementsFeesSubscriber Classification
NYSE Display requirements, attribution, non-pro vs. pro fees $1-$100+/user/mo Non-pro vs. professional
NASDAQ TotalView vs. basic, device limits, redistribution controls $3-$150+/user/mo Non-pro vs. professional
CME Group Real-time vs. delayed, screen count, auditing $10-$500+/user/mo Non-professional vs. professional
ICE Usage reporting, device limits, redistribution prohibition $5-$300+/user/mo Non-display vs. display users

💡 Professional vs. Non-Professional Classification

Exchanges charge 10-50x more for "professional" subscribers (traders, brokers, advisers) vs. "non-professional" (retail investors). Misclassifying users to save fees can result in massive retroactive invoices. Implement user classification workflows and audit regularly.

Compliance Pass-Through Obligations

Indemnification & Insurance

Indemnification determines who pays if someone sues over the data. This is a high-stakes negotiation.

Licensor Indemnification (What Licensor Covers)

Licensee Indemnification (What Licensee Covers)

🚨 Mutual Indemnification Red Flags

  • Uncapped indemnity: No maximum liability amount—can destroy a business
  • Indemnifying licensor's negligence: Licensee pays even when licensor screws up
  • No right to control defense: Licensor settles claims without licensee input
  • Broad "arising from" language: Indemnity triggered by any claim tangentially related to agreement
  • No knowledge qualifier: Strict liability even for violations licensee couldn't know about

Insurance Requirements

Coverage TypeMinimum LimitsWho CarriesPurpose
Errors & Omissions $1M - $5M Both parties Professional liability, data errors
Cyber Liability $2M - $10M Licensor (data holder) Data breaches, security incidents
General Liability $1M - $2M Both parties General business liability
Technology E&O $3M - $10M Licensee (platform) Platform failures, algo errors

💡 Certificate of Insurance

Both parties should provide Certificates of Insurance naming the other party as "additional insured" (for general liability) and listing minimum coverage limits. Review certificates annually to ensure continuous coverage. Lapsed insurance can be grounds for termination.

Negotiation Checklist

Use this checklist to prepare for data license negotiations:

Sample Contract Clauses

These are real-world examples of well-drafted provisions for data licensing agreements.

License Grant (Non-Exclusive, Internal Use)

Sample Language: "Licensor grants Licensee a non-exclusive, non-transferable, non-sublicensable license to access and use the Data solely for Licensee's internal business purposes. Licensee may access the Data via the API for use by Licensee's employees and contractors who have a legitimate business need and are bound by confidentiality obligations no less protective than those in this Agreement. Licensee shall not redistribute, resell, or provide access to the Data to any third party without Licensor's prior written consent."

Redistribution Prohibition

Sample Language: "Licensee shall not, and shall not permit any third party to: (a) copy, reproduce, modify, distribute, or create derivative works from the Data except as expressly permitted herein; (b) reverse engineer, decompile, or disassemble the API or Data; (c) use the Data to create a competing data product or service; (d) share API credentials or provide access to the Data to any third party; or (e) publicly display or publish the Data without attribution as required in Exhibit A."

Rate Limit and Overage

Sample Language: "Licensee's API access is subject to the rate limits specified in the applicable tier: [X] requests per second and [Y] requests per day. If Licensee exceeds the daily limit, overage charges of $[Z] per 1,000 requests will apply, subject to a monthly overage cap of 50% of the base subscription fee. Licensor may throttle requests exceeding the per-second limit and will provide at least 24 hours notice before hard cutoff for sustained overuse."

Data Accuracy Disclaimer

Sample Language: "THE DATA IS PROVIDED 'AS IS' WITHOUT WARRANTY OF ANY KIND. LICENSOR DISCLAIMS ALL WARRANTIES, EXPRESS OR IMPLIED, INCLUDING WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, ACCURACY, COMPLETENESS, AND NON-INFRINGEMENT. LICENSEE ACKNOWLEDGES THAT DATA MAY CONTAIN ERRORS, DELAYS, OR OMISSIONS AND ASSUMES ALL RISK FOR USE OF THE DATA."

Termination and Data Deletion

Sample Language: "Upon termination or expiration of this Agreement: (a) Licensee's API access will be terminated within 24 hours; (b) Licensee shall cease all use of the Data and delete or destroy all copies within thirty (30) days; (c) Licensee shall provide Licensor with written certification of deletion signed by an officer; and (d) Sections [list surviving sections] shall survive termination."

Indemnification (Mutual)

Sample Language: "Each party ('Indemnitor') shall indemnify, defend, and hold harmless the other party ('Indemnitee') from third-party claims arising from: (a) Indemnitor's breach of this Agreement; (b) Indemnitor's gross negligence or willful misconduct; or (c) Indemnitor's violation of applicable law. Indemnitor's liability under this Section shall not exceed [liability cap]. Indemnitee shall provide prompt notice of claims and cooperate in defense."

Disclaimer: This guide provides general information about API data licensing agreements and is not legal advice. Specific terms vary widely based on data type, use case, and negotiating power. Always have an attorney review agreements before signing. Sample clauses are for illustrative purposes only and should not be copied verbatim without legal review. Data licensing is subject to exchange rules, securities regulations, and intellectual property law—consult specialized counsel.