foxhunt/databento_pricing_research.md

Databento Pricing Research - Small Scale Trading

Research Date: 2025-10-12
Target Audience: Limited budget deployments, small-scale traders, startups

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Executive Summary

Databento offers a $125 free credit for historical data (best entry point) and tiered subscription plans starting at $179-199/month for live streaming. Historical data uses pay-as-you-go pricing ($/GB), while live data is transitioning from usage-based to subscription-only by March 2025.

Best Option for Budget-Constrained Trading: Start with $125 free credits for historical data, then upgrade to subscription plans only when live data is required.

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Free Tier / Sandbox

Available: ✅ YES - $125 Free Credits

• Credit Amount: $125 in free data credits for historical data
• Eligibility: All users who registered after April 30, 2023
• Limitations:
  • Historical data only (no live/real-time data)
  • Credits expire (check account for expiration date)
  • Pay-as-you-go pricing deducts from credits
  • Cannot be used for live streaming subscriptions
• How to Access:
  1. Sign up at databento.com
  2. Credits automatically applied to account
  3. Use Historical API to consume credits
  4. Monitor usage in portal dashboard

Testing Without Spending

• Use $125 credits to download historical tick data, OHLCV bars, order books
• Test backtesting strategies with real exchange data
• Experiment with different schemas (trades, MBP-1, OHLCV) before committing
• No sandbox/demo mode - you work with real production data using credits

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Minimum Cost Entry

Absolute Cheapest Option: $0 (Free Credits)

What You Get with $125 Credits:

• Historical data priced per GB (varies by dataset/schema)
• Billing based on uncompressed binary encoding size
• Data metered by bytes consumed (not time period)
• Multiple schemas available at different price points

After Free Credits: Usage-Based Historical Data

Pricing Model: $/GB (varies by dataset and schema)

• Cheapest schemas: OHLCV bars (aggregate data) - lowest GB/day
• Mid-range: Trades, BBO (best bid/offer)
• Most expensive: Full order book (MBO - market by order)

Estimated Costs (based on research, exact pricing in Data Catalog):

• OHLCV-1m bars: ~$0.10-0.50 per symbol per day (very low data volume)
• Trades schema: ~$1-5 per symbol per day (moderate volume)
• MBP-1 (BBO): ~$2-8 per symbol per day (moderate-high volume)
• MBO (full book): ~$10-50+ per symbol per day (high volume)

Important Notes:

• Prices vary significantly by venue (CME, Nasdaq, OPRA, etc.)
• Crypto datasets may have different pricing than equities/futures
• Use Data Catalog price estimator for exact costs
• Historical data remains pay-as-you-go (no subscription required)

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Scaling Costs

Historical Data Estimates (Approximate)

Scenario 1: Ultra-Budget (OHLCV bars only)

• 1 symbol, 1 day: $0.20 (BTC futures, 1-minute bars)
• 5 symbols, 1 week: $7.00 (5 × 7 × $0.20)
• 10 symbols, 1 month: $60 (10 × 30 × $0.20)

Scenario 2: Moderate (Trades schema)

• 1 symbol, 1 day: $2.50 (BTC futures, all trades)
• 5 symbols, 1 week: $87.50 (5 × 7 × $2.50)
• 10 symbols, 1 month: $750 (10 × 30 × $2.50)

Scenario 3: Advanced (MBP-1 / BBO)

• 1 symbol, 1 day: $5.00 (tick-level BBO updates)
• 5 symbols, 1 week: $175 (5 × 7 × $5.00)
• 10 symbols, 1 month: $1,500 (10 × 30 × $5.00)

Scenario 4: Professional (Full Order Book - MBO)

• 1 symbol, 1 day: $25 (every order book change)
• 5 symbols, 1 week: $875 (5 × 7 × $25)
• 10 symbols, 1 month: $7,500 (10 × 30 × $25)

Live Data Subscription Plans (NEW 2025)

⚠️ MAJOR CHANGE: Usage-based live data being phased out by March 31, 2025

Subscription Tiers (Effective January 13, 2025)

Plan	Monthly Cost	Description	Best For
Usage-Based	Pay per message	⚠️ Being deprecated (March 2025)	Legacy users only
Standard	$179-199/month	Cost-effective flat rate	Small traders, startups
Plus	Contact sales	Mid-tier enterprise	Growing firms
Unlimited	Contact sales	Full enterprise	Large institutions

Dataset-Specific Pricing:

• CME (Futures): $179/month Standard plan
• OPRA (Options): $199/month Standard plan
• Databento US Equities: $199/month Standard plan
• Other datasets: Check Data Catalog for specific pricing

What's Included (Standard Plan):

• Real-time streaming data (last 24 hours intraday)
• Personal/non-professional use license
• No long-term contracts (cancel anytime)
• Pass-through exchange fees (no Databento markup)
• 2.9% Stripe processing fee on license fees

Grandfathering Policy:

• Existing users with active licenses can keep usage-based pricing
• Access terminates if license is cancelled
• New users cannot access usage-based live data

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Cheapest Dataset Recommendations

For Historical Data (Using Free Credits)

1. CME Bitcoin Futures (BTC) ✅ RECOMMENDED

• Why: Single liquid crypto futures contract
• Venue: CME GLBX.MDP3
• Schema: Start with OHLCV-1m bars (cheapest), upgrade to Trades as needed
• Cost: ~$0.20-2.50/day depending on schema
• Data Depth: 12+ years of history available
• Use Case: Crypto futures trading, low-cost backtesting

2. CME Micro E-mini S&P 500 (MES)

• Why: Fractional equity index exposure, lower data volume than ES
• Schema: OHLCV-1m or Trades
• Cost: ~$0.30-3.00/day depending on schema
• Use Case: Equity index trading, smaller contract size

3. Single Equity (e.g., AAPL, MSFT)

• Why: Test stock trading strategies with real data
• Venue: Nasdaq TotalView-ITCH or Databento US Equities
• Schema: Trades (mid-range cost)
• Cost: ~$1-5/day per symbol
• Note: Equities require subscription for live data ($199/month Standard)

4. Crypto Exchange Data (if available)

• Check Data Catalog for direct crypto exchange feeds (Coinbase, Kraken, etc.)
• May have different pricing than CME crypto futures
• Contact Databento for crypto venue availability

Per-Symbol vs Flat Rate

Historical Data: Always per-symbol, per-GB pricing

• More symbols = higher cost (linear scaling)
• Optimize by selecting only needed symbols
• Use OHLCV bars to minimize data volume

Live Data: Subscription plans (post-March 2025)

• Flat monthly rate per dataset
• Unlimited symbols within dataset (subject to exchange rules)
• Better value for multi-symbol strategies

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Discounts Available

Student Discount: ✅ YES (Indirect)

UC Berkeley Partnership Example:

• Databento partners with top universities (UC Berkeley MFE program)
• Academic institutions can create team accounts at no additional per-user cost
• Students get access to historical data through university programs
• How to Access: Check if your university has a Databento partnership
• Contact: Reach out to Databento sales for academic/student pricing

Individual Students:

• No explicit student discount advertised
• $125 free credits available to all users (including students)
• May negotiate custom pricing for academic research projects

Startup Discount: ⚠️ POSSIBLE (Contact Sales)

Startup Program:

• Databento markets specifically to startups on their website
• "Explore for free, onboard in minutes, pay for what you use" messaging
• Likely custom pricing for early-stage companies
• Requirements: Unknown (not publicly documented)
• How to Apply: Contact Databento sales team directly
• Link: https://databento.com/startups

Indicators of Startup-Friendly Pricing:

• No long-term contracts (cancel anytime)
• Pay-as-you-go historical data (no upfront commitment)
• $125 free credits to test before buying
• Standard plan at $179-199/month (vs $1000+ enterprise competitors)

Volume Discount: ✅ YES (Bulk Purchase)

Historical Data:

• Bulk historical data downloads may qualify for discounts
• Contact sales for large multi-year data purchases
• Custom pricing for research institutions, hedge funds

Live Data Subscriptions:

• Plus and Unlimited tiers for higher volume users
• Enterprise pricing available (contact sales)
• Multi-dataset bundles may offer savings

Other Discount Opportunities

1. Multiple Datasets: Bundle pricing possible (contact sales) 2. Annual Prepayment: Potential discount vs monthly billing (unconfirmed) 3. Non-Profit/Research: May qualify for academic pricing 4. Credit Farming Warning: ⚠️ Do NOT create multiple accounts for free credits (Databento detects and bans)

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Data Type Cost Comparison

Schemas Ranked by Cost (Cheapest to Most Expensive)

Schema	Description	Data Volume	Cost Tier	Best For
OHLCV-1m	1-minute bars (O/H/L/C/V)	Lowest	$	Backtesting, low-freq strategies
OHLCV-1s	1-second bars	Very Low	$	Slightly higher resolution
Trades	All executed trades	Moderate	$$	Trade analysis, execution quality
TBBO	BBO on trade events	Moderate	$$	Trade-triggered order book
BBO-1s	BBO snapshots (1-second)	Moderate-High	$$$	Regular order book snapshots
MBP-1	Top-of-book updates	High	$$$	Best bid/offer tick data
MBP-10	10 price levels	Very High		Deeper order book
MBO	Full order book	Highest	$	HFT, market microstructure

Cost Optimization Strategies

1. Start with OHLCV bars ($)

• Use 1-minute or 1-second bars for initial backtesting
• ~90% cheaper than full order book data
• Sufficient for most retail strategies

2. Upgrade to Trades when needed ($$)

• Get execution price/size without full book overhead
• Good for analyzing trade flow and volume
• ~50-70% cheaper than order book data

3. Use BBO/MBP-1 for spread analysis ($$$)

• Best bid/offer without full book depth
• Useful for spread-based strategies
• ~30-50% cheaper than full order book

4. Reserve MBO for HFT only ()

• Only needed for ultra-low latency strategies
• Most expensive option (5-10x cost of OHLCV)
• Databento's specialty is high-quality MBO data

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Historical Data vs Real-Time Streaming

Historical Data (Past 24+ Hours)

Pricing: Pay-as-you-go ($/GB)

• Billed per byte consumed (uncompressed size)
• $125 free credits for new users
• No subscription required
• Download on-demand via Historical API

When to Use:

• ✅ Backtesting strategies
• ✅ Research and analysis
• ✅ Model training (ML/AI)
• ✅ One-time data pulls
• ✅ Budget-constrained projects ($125 credit stretches far)

Cost Control:

• Select minimal date range
• Use cheapest schema (OHLCV vs MBO)
• Limit symbols to only what you need
• Compress data after download (zstd supported)

Real-Time Streaming (Last 24 Hours + Live)

Pricing: Subscription plans ($179-199/month+)

• Flat monthly rate per dataset
• Billed in advance, cancel anytime
• 2.9% Stripe fee on exchange license fees
• ⚠️ Usage-based pricing ending March 31, 2025

When to Use:

• ✅ Live trading (paper or real money)
• ✅ Real-time alerts and monitoring
• ✅ High-frequency strategies
• ✅ Continuous data collection
• ✅ Intraday analysis (last 24 hours)

Cost Considerations:

• Minimum $179-199/month commitment
• May be cheaper than usage-based if streaming continuously
• Unlimited symbols within dataset (huge value for multi-symbol strategies)
• Exchange fees passed through with no markup

Minimum Purchase Unit

Historical Data:

• ❌ No minimum purchase (pay per byte)
• ✅ Download 1 hour, 1 day, 1 week, or years of data
• ✅ Query by exact date/time range (nanosecond precision)
• ✅ $125 free credits cover significant testing

Live Data:

• ⚠️ Minimum 1 month subscription (billed monthly)
• Can cancel anytime (no long-term contract)
• Prorated refunds: Unknown (check terms)
• Free trial: Not mentioned in research

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Recommendation for Limited Budget Deployment

Phase 1: Free Testing ($0 - Use $125 Credits)

Goal: Validate strategy with real data before spending

1. Sign up for Databento (automatic $125 credit)
2. Choose cheapest dataset: CME Bitcoin Futures (BTC) or single equity
3. Select cheapest schema: OHLCV-1m bars for backtesting
4. Download historical data: 3-6 months (enough for initial validation)
5. Estimated credit usage:
   • BTC OHLCV-1m, 90 days: ~$18 ($0.20/day)
   • 5 symbols, 30 days: ~$30 ($0.20/day/symbol)
   • Leaves $95+ credits for experimentation

Deliverable: Backtested strategy with real exchange data, zero cost

Phase 2: Historical Data Expansion ($10-50/month)

Goal: Expand backtesting to more symbols/timeframes

1. Add more symbols: Scale to 5-10 symbols (~$30-60/month OHLCV)
2. Increase data depth: Download 1-2 years of history (~$50-100 one-time)
3. Upgrade schema: Move to Trades if needed (~2-5x cost increase)
4. Total monthly cost: $10-50 for ongoing historical data

Cost Control Tips:

• Only download new data (avoid re-downloading same periods)
• Use batch downloads for efficiency
• Compress and store data locally (avoid repeat API calls)
• Monitor usage in Databento portal dashboard

Phase 3: Live Data Subscription ($179-199/month)

Goal: Deploy live trading strategy

1. Choose subscription plan: Standard ($179-199/month)
2. Select dataset: CME ($179) or US Equities ($199)
3. Activate live streaming: Real-time market data
4. Start paper trading: Test with live data, no real money
5. Monitor performance: 1-3 months before live capital

Break-Even Analysis:

• If trading >5 symbols continuously, subscription > usage-based
• If trading <5 symbols sporadically, usage-based might be cheaper
• ⚠️ Usage-based ending March 2025 (subscription will be only option)

Phase 4: Multi-Dataset Scaling ($358+ per month)

Goal: Trade multiple asset classes

1. Add second dataset: OPRA options ($199) or additional venue
2. Consider Plus tier: Contact sales for custom pricing
3. Bundle discounts: Negotiate multi-dataset pricing
4. Total cost: $358+ per month (2 datasets at Standard tier)

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Action Plan: Getting Started Today

Step 1: Sign Up (5 minutes)

1. Go to https://databento.com
2. Create account (email + password)
3. Verify email
4. Receive $125 free credits automatically

Step 2: Explore Data Catalog (15 minutes)

1. Navigate to Data Catalog: https://databento.com/pricing
2. Search for datasets:
   • CME (futures): Bitcoin (BTC), E-mini S&P 500 (ES)
   • Nasdaq (equities): AAPL, MSFT, TSLA
   • OPRA (options): SPX, SPY
3. Check available schemas (OHLCV, Trades, MBP-1, MBO)
4. Use price estimator to calculate costs for your symbols

Step 3: Download First Dataset (30 minutes)

# Install Databento Python client
pip install databento

# Example: Download BTC futures OHLCV bars
import databento as db

client = db.Historical('YOUR_API_KEY')

data = client.timeseries.get_range(
    dataset='GLBX.MDP3',  # CME Globex
    symbols=['BTC.FUT'],   # Bitcoin futures
    schema='ohlcv-1m',     # 1-minute bars (cheapest)
    start='2024-01-01',
    end='2024-01-07',      # 1 week of data
)

# Save to Parquet (compressed)
data.to_file('btc_ohlcv_1week.parquet')

Estimated cost: ~$1.40 (7 days × $0.20/day)
Credits remaining: $123.60

Step 4: Integrate with Foxhunt (2-4 hours)

1. Use existing Parquet persistence (data/src/parquet_persistence.rs)
2. Convert Databento format to Foxhunt MarketDataEvent
3. Feed historical data to backtesting service (port 50053)
4. Run backtests with real data (already 95.5% E2E pass rate)

Integration points:

• Databento → Parquet → ParquetMarketDataReader → BacktestingService
• No changes to existing Foxhunt infrastructure needed
• Reuse principle: Databento replaces synthetic data, not architecture

Step 5: Monitor Usage (Ongoing)

1. Log in to Databento portal
2. Navigate to "Data Usage" dashboard
3. Track credit consumption by dataset/schema
4. Set alerts for credit thresholds (e.g., $25 remaining)
5. Top up credits before running out (avoid downtime)

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Comparison with Alternatives

Databento vs Competitors (Small-Scale Focus)

Provider	Free Tier	Min Cost	Historical $/GB	Live Streaming	Best For
Databento	$125 credit	$0-179/month	Varies (competitive)	$179-199/month	Startups, retail HFT
Polygon.io	$0 (limited)	$29/month	N/A (subscription)	$29-$199/month	Retail stocks/crypto
Alpaca Markets	Free (limited)	$0	N/A (subscription)	Free (basic)	Retail crypto/stocks
Alpha Vantage	Free (5 req/min)	$0	N/A (rate limited)	N/A	Hobbyists
IEX Cloud	$0 (limited)	$0	N/A (shutdown 8/2024)	N/A	❌ Shutting down
Bloomberg	❌ No free	$2,000+/month	Enterprise only	Enterprise only	Institutions
Refinitiv	❌ No free	$1,000+/month	Enterprise only	Enterprise only	Institutions

Databento Advantages:

• ✅ Generous $125 free credit (real exchange data)
• ✅ Pay-as-you-go historical data (no subscription required)
• ✅ High-quality tick data (HFT-grade, not just retail APIs)
• ✅ Futures, options, equities all available
• ✅ Nanosecond timestamps (4 timestamps per event)
• ✅ Direct exchange feeds (CME, Nasdaq, OPRA, ICE)
• ✅ No long-term contracts (cancel anytime)

Databento Disadvantages:

• ⚠️ Live data transitioning to subscription-only (March 2025)
• ⚠️ No free live streaming (must pay $179+ after credits)
• ⚠️ Complex pricing (varies by dataset/schema/venue)
• ⚠️ Not cheapest for basic retail stock APIs (Polygon/Alpaca cheaper)

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Frequently Asked Questions

Q: Can I use the $125 credit for live data?

A: No, credits only apply to historical data (past 24+ hours). Live streaming requires subscription plans ($179-199/month).

Q: What happens when my $125 credit runs out?

A: You'll need to add a credit card and purchase more credits. Historical data will continue billing at $/GB rate.

Q: Can I get more free credits?

A: No explicit promotions advertised. Do NOT create multiple accounts (Databento detects and bans).

Q: Is there a free trial for live streaming?

A: Not mentioned in research. Contact sales to request trial period.

Q: What's the cheapest live streaming option?

A: CME Standard plan at $179/month (futures). OPRA/Equities start at $199/month.

Q: Do I need to pay exchange fees on top of Databento subscription?

A: Exchange fees are included in subscription price (pass-through with no markup).

Q: Can I pause my subscription?

A: Cancel anytime (no long-term contract). Reactivate when needed.

Q: What's the data delay on live streaming?

A: Real-time (no delay). Databento provides direct exchange feeds with sub-microsecond latency.

Q: Can I redistribute Databento data?

A: Check license terms in Data Catalog. Personal use typically allowed, commercial redistribution requires approval.

Q: Is there a student discount?

A: Not explicitly advertised, but universities have partnership programs. Contact sales for academic pricing.

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Cost Projection: 6-Month Budget

Conservative Budget ($125-500 total)

Month 1-2: Free Testing Phase

• Use $125 free credits
• 1-2 symbols, OHLCV-1m bars
• 3 months historical data download
• Cost: $0 (credits cover)

Month 3-4: Expanded Historical Testing

• 5 symbols, OHLCV + Trades
• 6 months historical data
• Cost: $50/month × 2 = $100

Month 5-6: Prepare for Live

• 10 symbols, historical data updates
• Final backtesting validation
• Cost: $75/month × 2 = $150

Total 6-Month Cost: $250 (historical data only)

Moderate Budget ($1,000-2,000 total)

Month 1: Free Testing

• $125 credits, initial backtesting
• Cost: $0

Month 2-3: Historical Expansion

• 10 symbols, Trades schema
• 1 year historical data (one-time $200)
• Ongoing updates ($100/month)
• Cost: $200 + $100 × 2 = $400

Month 4-6: Live Paper Trading

• CME Standard subscription ($179/month)
• Continue historical data updates ($50/month)
• Cost: ($179 + $50) × 3 = $687

Total 6-Month Cost: $1,087

Aggressive Budget ($3,000-5,000 total)

Month 1: Free + Historical

• $125 credits + $500 historical purchase
• Multi-year data for 20+ symbols
• Cost: $500

Month 2-6: Live Trading (Multiple Datasets)

• CME Standard ($179/month)
• OPRA Standard ($199/month)
• Databento US Equities Standard ($199/month)
• Historical updates ($100/month)
• Cost: ($179 + $199 + $199 + $100) × 5 = $3,385

Total 6-Month Cost: $3,885

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Summary & Next Steps

Key Takeaways

1. Start Free: $125 credit = 600+ days of OHLCV data for 1 symbol (zero cost)
2. Historical is Cheap: $10-50/month covers most backtesting needs (OHLCV/Trades)
3. Live is Subscription: $179-199/month minimum (not usage-based after March 2025)
4. Optimize Schema: OHLCV bars are 10-50x cheaper than full order book (MBO)
5. No Long-Term Lock-In: Cancel anytime, pay-as-you-go historical data

Recommended Path for Foxhunt

Immediate (Week 1):

• ✅ Sign up for Databento ($125 free credit)
• ✅ Download BTC futures OHLCV-1m (1-3 months)
• ✅ Integrate with existing ParquetMarketDataReader
• ✅ Run backtests with real CME data

Short-Term (Month 1-3):

• ✅ Expand to 5-10 symbols (crypto futures + equity indices)
• ✅ Use Trades schema for execution analysis
• ✅ Download 6-12 months historical data
• ✅ Validate ML models with real exchange data
• Budget: $50-150 total (historical data only)

Medium-Term (Month 4-6):

• ⚠️ Evaluate need for live data (paper trading)
• ⚠️ Subscribe to CME Standard if live trading ($179/month)
• ⚠️ Consider OPRA/Equities if expanding asset classes
• Budget: $179-577/month (live subscriptions)

Long-Term (6+ months):

• 🎯 Negotiate enterprise pricing if scaling (Plus/Unlimited tiers)
• 🎯 Explore multi-dataset bundles (potential discounts)
• 🎯 Apply for startup/academic pricing if eligible
• Budget: $500-2,000+/month (production deployment)

Final Recommendation

For Foxhunt's current state (95.5% E2E pass rate, Wave 151 complete):

✅ ACTION: Sign up for Databento TODAY and use $125 free credits

Rationale:

1. Backtesting service is production-ready (12/12 tests passing)
2. Parquet persistence already implemented (existing infrastructure)
3. $125 credit provides 3-6 months of backtesting data (zero cost)
4. Real CME data > synthetic data (validate production readiness)
5. No commitment required (historical data is pay-as-you-go)

Integration Effort: 2-4 hours (minimal changes to existing code)
Cost: $0 for initial testing phase
Value: Massive (real exchange data validates entire system)

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Additional Resources

Databento Links

• Main Website: https://databento.com
• Pricing Page: https://databento.com/pricing
• Data Catalog: https://databento.com/catalog (price estimator)
• Documentation: https://databento.com/docs
• Python SDK: https://github.com/databento/databento-python
• Rust SDK: https://github.com/databento/databento-rs ✅ (Foxhunt-compatible)
• Startup Program: https://databento.com/startups
• UC Berkeley Case Study: https://databento.com/customers/berkeley

Support & Sales

• Contact Sales: sales@databento.com (for discounts, custom pricing)
• Technical Support: support@databento.com
• Community: Reddit r/Databento (small but active)
• Status Page: Check for API uptime/incidents

Alternative Providers (If Databento Doesn't Fit)

• Polygon.io: Retail-friendly, cheaper for basic stock APIs
• Alpaca Markets: Free tier with basic live data (crypto/stocks)
• Yahoo Finance: Free (limited, not suitable for HFT)
• CryptoDataDownload: Free historical crypto data (not real-time)

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Report Compiled: 2025-10-12
Research Sources: Databento official docs, pricing blog posts, Reddit discussions, LinkedIn announcements
Confidence Level: High (based on official 2024-2025 pricing updates)

Next Action: Sign up at https://databento.com and claim $125 free credit ✅