Quant Data alternative: flow, exposure models and API access

What Quant Data currently documents

Its official site lists consolidated and trade-by-trade options flow, dark-flow research, net-flow measures and exposure analytics including gamma, delta, vanna and charm. Its REST documentation supports programmatic queries and historical windows. These are separate capabilities to evaluate, not evidence of a universal data-quality or speed ranking.

Compare raw observations with derived measures

A trade price and volume are reported observations. A sweep label depends on grouping rules. Gamma or dealer-exposure displays depend on positions, model inputs and sign assumptions. A net-premium series uses its own aggregation definition. Do not compare these objects as if they were interchangeable confirmations of market direction.

Test the query you need to preserve

Choose one symbol, contract and session. Compare a consolidated view with the equivalent grouping of individual trades. Retain timestamps, conditions, filters and corrections. For exposure charts, also record spot price, included expirations and model settings.

• Check whether the view is live, delayed or a historical snapshot.
• Distinguish zero matching trades from a missing dataset or failed query.
• Check whether a historical result uses information available at the simulated decision time.

API and dashboard access are different purchases

Quant Data’s agent documentation says API use requires active API entitlement and a signed OPRA agreement. Confirm the current plan, data rights, request limits and intended redistribution. A dashboard subscription or a Discord notification does not establish a callable interface or unrestricted data license.

Where Pineify fits

Market Insights can support options-flow, dark-pool and other market investigation subject to account access. The Finance Agent and Coding Agent serve additional research and code tasks. They do not establish sub-second OPRA latency, identical Quant Data coverage or a direct flow-to-Pine historical bridge. Compare current terms for the required task instead of relying on fixed two-year savings.