About SilphCo Analytics
Research Prices, Track Trends, Master the Market
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Who am I?
I am Evan.
I’m a data nerd and Pokémon fan for life. I’ve been building custom data pipeline solutions from the ground up for a while—especially as a DeFi data scientist focusing on asset velocity, token flows, liquidity, and trading execution costs—to ensure I’m the first to analyze and extract insights. Before that, I studied theoretical and applied mathematics in school.
Pokémon is where my obsession with numbers and metrics truly began. I learned how to read by studying Game Boy Color guides to complete the games, and I spent my childhood constantly obsessed with the stats of the first three generations, analyzing the variations and math required to maximize their statistics.
What is SilphCo Analytics?
SilphCo Analytics is a market intelligence platform that turns noisy, fragmented data into clean, actionable financial datasets, allowing traders to answer complex questions like which card classes outperform across sets and over time. Built on a modern data stack, the platform is designed for a new era where trading platforms are becoming increasingly intelligent and data-driven. To support this, SilphCo exposes its data through both a traditional UX and a REST v3 API, including POST /api/v3/sql for structured queries against market datasets.
What problem does SilphCo Analytics solve?
Silphco Analytics answers a single question — “How valuable is my card”?
Answering this is becoming an impossible problem because the surface area of the hobby is exploding under unprecedented demand. Modern Pokémon TCG sets are being printed at record highs, and the sheer number of unique cards collectors must track grows every month. As this surface area increases, market friction grows non-linearly.
The emergence of new marketplaces fragments information, making it nearly impossible to find a "true market price." This fragmentation creates massive inefficiencies and wide bid/ask spreads. Marketplace data is messy, and difficult to standardize due to regex-based aggregation, most collectors are left guessing.
In fact, the most common way people value cards at trading conventions in 2026 is still relying on recent eBay sales. In a digital first world, this is akin to looking for job ads in a newspaper while the rest of the world uses LinkedIn.
Card valuation is a difficult problem because the market is both noisy and inefficient. The emergence of new marketplaces fragments information and makes it difficult to find the “true market price”. This fragmentation causes market inefficiencies, resulting in wide bid/ask spreads. There are also thousands of cards that collectors need to stay on top of. This problem also continues to grow as the number of sets increases and modern Pokemon TCG cards get printed at record highs for the modern sets.
This makes the analytics problem even more difficult to solve for collectors going forward, and explains why one of the most common ways people value cards at trading conventions in 2026 is still relying on recent eBay sales. This is akin to looking for job ads in a newspaper while the rest of the world uses LinkedIn!
Marketplace data is also very messy and difficult to search through. There is no standardized way to advertise a card listing, which makes simple regex based marketplace aggregations an incomplete solution to creating accurate marketplace aggregation card listings.
Stop guessing. Start analyzing.
SilphCo Analytics provides a suite of solutions designed to meet users where they are, allowing them to answer this question in whichever way is most comfortable for them—either through a traditional frontend UX or programmatic access via the REST v3 API and POST /api/v3/sql.
Explore the platform or start building with our API at silphcoanalytics.xyz/api/v3. API access is subscription-free and powered by MPP pay-per-call payments on Solana — pay only for the data you pull.