1 real crypto queries — from 4H chart analysis to DeFi deep dives. Responses anonymized as System A / B. Blind evaluation by Claude Opus on data quality, synthesis depth, and actionability.
Every response scored on data quality, synthesis depth, and actionability. Scale: 0–10.
| Dimension | MarketIntell | Gigabrain | Delta |
|---|---|---|---|
| Overall Score | -2.0 | ||
| Data Quality | -2.0 | ||
| Synthesis Depth | -2.0 | ||
| Actionability | -1.0 |
Queries span 1 categories — from technical analysis to on-chain micro-caps.
| Category | MarketIntell Avg | Gigabrain Avg | Win Rate | Record |
|---|---|---|---|---|
|
Screener 1 query |
0% | 0–1 |
Every query, both scores, the winner, and the judge's reasoning. No cherry-picking — this is the complete dataset.
| Query | MI | GB | Winner | Judge Reasoning |
|---|---|---|---|---|
|
Screen for DeFi protocols with over $500M TVL, positive 7d TVL growth, and meaningful revenue. Top 5 candidates for a fu…
• screener
|
6 | 8 | GIGABRAIN | "Response B provides more specific data points, clearer screening methodology, and actionable trade thesis with invalidation criteria. Response A has confusing data inconsistencies and weaker synthesis…" |
Selected evaluations showing the judge's reasoning. Unedited, verbatim.
"Response B provides more specific data points, clearer screening methodology, and actionable trade thesis with invalidation criteria. Response A has confusing data inconsistencies and weaker synthesis."
Blind evaluation by Claude Opus. Each system received the same 1 queries. Responses were anonymized (System A / B) and judged on three dimensions, each scored 0–10.
Spanning 1 categories: technical analysis, microstructure, fundamentals, macro, social sentiment, prediction markets, multi-domain synthesis, structured output, and micro-cap discovery. All queries reflect real trader intent — no softballs.
The judge (Claude Opus) never knew which system produced which response. Responses were labeled System A and System B with no identifying information. Order was consistent but unlabeled — no positional bias.
Data Quality — accuracy, specificity, and freshness of data cited. Synthesis — depth of analysis connecting multiple data points into coherent narrative. Actionability — clarity of trade setups, risk frameworks, and concrete recommendations.
Both systems received identical queries at the same time. No prompt engineering advantages. Same evaluation criteria applied to both. The complete, unedited dataset is shown above — no cherry-picking.
Queries were run against live market conditions. MarketIntell used 160+ real-time providers (on-chain, CEX, social, macro). Gigabrain used its own data pipeline. Both had access to their full capabilities.
MarketIntell averaged 66.8s per query (fetching live data from 160+ providers and synthesizing). Gigabrain averaged 212.5s. Quality costs time — the score delta speaks for itself.
6/10 vs 8/10 average. 0 wins out of 1. Try it yourself.