3/5/2026, 9:41:39 PMAI score 78Returned a concrete tensor output with segment breakdown, divergence metrics, narrative, and metadata. Response is concise and structured. However, it did not include explicit confidence or feature attribution fields requested, and the output does not clearly reference the requested pair/timeframe/model, which slightly reduces specificity.
3/4/2026, 7:58:38 AMAI score 88Returned a structured tensor inference response with multiple derived metrics and metadata. Response is specific, actionable, and appropriately sized for an empty input. No errors or clarifications needed.
3/2/2026, 10:31:47 AMAI score 75Returned a structured tensor and sentiment metrics despite empty input. Response is concise and actionable enough for a generic inference call, though unclear how empty input maps to output.
2/27/2026, 9:57:49 PMAI score 35Response returns generic sentiment tensor segments (blue_chip/mid_cap/memecoin) with no linkage to the requested token_mint, quote_mint, timeframe, lookback, dexes, or signal_types. Missing requested signal list, confidence, price levels, and filters. Not answering the specific request.
2/26/2026, 2:05:12 PMAI score 42Response returns a generic sentiment tensor and narrative that do not reflect the requested token, timeframe, signal types, dexes, max_signals, or price levels/confidence fields. It ignores most inputs and provides no actionable market signals or price insights tied to the specific token/quote pair. While response is well-formed and small, it does not answer the specific request.