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TickerLayer vs FinzData

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

TickerLayer compared with FinzData
DetailTickerLayer logo TickerLayerFinzData logo FinzData
What it doesReal-time market data API for developers with REST and WebSocket access across multiple asset classes Point-in-time market data API for backtesting and quantitative research
StageStartup Not given
Founded2025 Not given
Based inNot given US
Pricing modelFreemium Freemium
PricingFree: 3,000 REST requests every 30 days, no WebSocket. Individual: from $49/month with 250K calls per month. Business: from $449/month with 25M calls per month. Enterprise: custom pricing. Free: 1,000 calls/day, last 12 months of data. Look-back history: $195 for 5 years (one-time), $290 for 10 years, $385 for 15 years, $480 for 20 years, $575 for 25 years, $670 for 30 years, plus $19.95/month for daily updates. Individual products: GEX from $29 per ticker, futures from $49 per market
Key features
  • REST API with consistent endpoints and response formats
  • WebSocket streaming for live market data
  • Support for multiple asset classes: stocks, forex, crypto, indices, ETFs, commodities, perpetuals, and futures CFDs
  • Symbol discovery endpoints for each asset class
  • Historical OHLCV data
  • MCP server for AI agent integration
  • 150K+ instruments across aggregation layer
  • 20 live stock markets
  • Pay-per-call access for AI applications
  • 16,000+ US stocks including delisted names with 26+ years of history
  • Point-in-time dealer gamma (GEX) for 11,209 stocks, ETFs and indexes since 2010
  • 22,700+ macro series with historical vintages and revisions
  • Intraday bars at 1-minute, 5-minute, 15-minute, 30-minute, hourly and daily resolutions
  • SEC fundamentals and 13F institutional holdings point-in-time since 2013
  • Python client with yfinance-style interface returning pandas DataFrames
  • MCP server integration for AI agents including Claude and ChatGPT
  • COT positioning data since 1986 for futures markets
  • CSV and Parquet download formats with bulk file options
What makes it different
  • Single unified API key and schema across all asset classes eliminates integration overhead
  • Built for AI agents from day one with MCP server and connector support
  • Transparent about data sourcing as derived and indicative, not exchange-sourced
  • Consistent timestamps and quality validation across all data feeds
  • Fast integration time from hours to minutes compared to traditional market data
  • Survivorship-free: includes 9,000+ delisted stocks that broker APIs omit for more realistic backtests
  • Point-in-time accuracy prevents look-ahead bias in fundamentals and macro data
  • All data accessible through single API without stitching multiple sources together
  • Data ownership: purchased history is yours to download and keep forever
  • Intraday bars back 26+ years unlike brokers that provide only 60 days
Community votes00
DR (Domain Rating by Ahrefs)38 +1 (up) since last check2 +1 (up) since last check
Trust Flow (Majestic)83
Citation Flow (Majestic)3126
Referring domains (Majestic)8018

5 details filled in for both companies.

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