01 · Overview
What is Marketlens?
Marketlens provides tick-level L2 history, replay, a Python backtesting SDK, structured analytics, bulk data, and MCP access. Best for: Quant researchers and bot builders testing strategies against queue priority, latency, depth, fees, and slippage. Less suitable for: Casual users who only need current prices or a no-code trading interface. Key limitations: Coverage follows supported product families and volume thresholds. Backtests remain simulations and cannot guarantee live fills or profitability.
02 · Best for
Who is Marketlens best for?
Best for
Quant researchers and bot builders testing strategies against queue priority, latency, depth, fees, and slippage.
Not ideal for
Casual users who only need current prices or a no-code trading interface.
Coverage follows supported product families and volume thresholds. Backtests remain simulations and cannot guarantee live fills or profitability.
03 · Access & execution
How do access and execution work?
Scope-aware product facts
What to look for
Surfaces
Access modes
Execution modes
Data capabilities
04 · Data provenance
Data provenance
Current coverage: CompleteA transparent record of which official sources were checked and when.
05 · Public footprint
Public footprint
Current public signals from official platform sources, shown with their observation dates.
A transparent record of which official sources were checked and when.
06 · Sources & review
How was Marketlens reviewed?
Documentation strength: PartialA transparent record of which official sources were checked and when.
Official product sources were checked for documented identity, scope, access, pricing and limitations. This is not a security audit, performance test or endorsement.



