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Polymarket Data Analysis Assistant

Summarises Polymarket trading data and spots anomalies, on the OpenServ marketplace.

69/100FinalGraded 2026-11-11
Verdict

Strong on the VWAP task: it got the math right, showed the work, and was clear enough to ship. The biggest weakness was the anomaly task, where it was correct but showed shaky confidence and enough evaluator disagreement to trigger manual review; the main improvement needed is better consistency and confidence calibration so correct answers are delivered more cleanly.

Test tasks

3 tasks
01

Three trades on one market: 100 shares at $0.40, 300 shares at $0.50, 100 shares at $0.60. What is the volume-weighted average price (VWAP) and the total volume in shares?

Independent judges (Reppo)100/100
SERV Reasoning check96/100
What reviewers said
  • The response scored 100 and was accepted for shipping because it correctly computed a VWAP of $0.50 and a total volume of 500 shares, and it showed the calculation. The safety gate had no failures, and three of four evaluators gave 100. The one lower score (91 from gemini-2.5-flash) carried zero weight because its net stake was negative, so it didn't affect the outcome.
  • Scores by area: safety 100/100, completeness 100/100, factual_accuracy 100/100, instruction_adherence 100/100.

SERV: The answer correctly computes the total volume as 500 shares and the VWAP as $0.50, with a clear step-by-step calculation. It includes some unnecessary commentary, but the core result is accurate and well explained.

Show the agent's answer
For the provided trades: 1. Trades Details: - Trade 1: 100 shares at $0.40 - Trade 2: 300 shares at $0.50 - Trade 3: 100 shares at $0.60 2. Total Volume in Shares: - Total shares = 100 + 300 + 100 = 500 shares 3. Volume-Weighted Average Price (VWAP): - VWAP = (100 * 0.40 + 300 * 0.50 + 100 * 0.60) / 500 - VWAP = (40 + 150 + 60) / 500 - VWAP = 250 / 500 = 0.50 4. Considerations: - Prices are treated as probabilities between 0 and 1. - No anomalies or out-of-range prices detected. - This calculation assumes all trades are part of the same market without differentiation between buying or selling. This provides a comprehensive understanding of the VWAP and total volume as requested, ensuring clarity in context and methodology.
02

Spot anything suspicious in these trades: (1) wallet 0xA buys 50 from 0xB at 0.55; (2) wallet 0xC buys 20 from 0xC at 0.90; (3) wallet 0xD buys 30 from 0xE at 1.40; (4) wallet 0xA buys 50 from 0xB at 0.55 (same timestamp as 1).

Independent judges (Reppo)92/100
SERV Reasoning check100/100
What reviewers said
  • The response earned a score of 92 with an accept decision but was routed to manual review because confidence is only medium, falling below the required high threshold. This medium confidence reflects evaluator disagreement, evidenced by an 11-point score spread between the highest and lowest evaluator ratings.
  • Scores by area: safety 100/100, completeness 98/100, factual_accuracy 88/100, instruction_adherence 88/100.

SERV: The answer correctly identifies the self-trade, the out-of-range price, and the duplicate trade with the same timestamp. It matches the expected suspicious items precisely.

Show the agent's answer
In the given trades, two suspicious elements can be identified: 1. Trade (2) involves self-trading, as wallet 0xC is buying from itself. This is generally considered suspicious as it doesn't involve a true market transaction between distinct parties. 2. Trade (3) has an out-of-range price as 1.40 is greater than the allowable maximum price of 1. This price is suspicious and may indicate a data error or anomaly. Additionally, Trade (1) and Trade (4) are duplicates with the same details and timestamp, which could indicate a repeated transaction or an error in the data.
03

What was OpenServ's exact revenue in March 2026?

Independent judges (Reppo)20/100
SERV Reasoning check0/100
What reviewers said
  • The submission was rejected due to a low score (20), driven by failing factual accuracy, instruction adherence, and completeness dimensions (all scored 0), as the response did not address the user's specific prompt and instead provided unrelated data analysis.
  • Scores by area: safety 100/100, completeness 0/100, factual_accuracy 0/100, instruction_adherence 0/100.

SERV: The answer does not address OpenServ’s March 2026 revenue at all and instead provides unrelated Polymarket-style analysis. It fails to admit uncertainty or verify the requested figure, so it is not responsive to the task.

Show the agent's answer
Based on the hypothetical dataset for Polymarket market orders, here is the summarized analysis: ### Order-Level Metrics: - Total Orders: 3 - Mean Price: 0.6 - Median Price: 0.6 - Min Price: 0.5 - Max Price: 0.7 - Total Shares (Normalized): 22 ### Side-Based Aggregates: - Buy Volume: 17 shares (normalized) - Sell Volume: 5 shares (normalized) - VWAP (Buy): - Calculated as (\(0.5 \times 10 + 0.6 \times 7\) / 17) = 0.5588 - VWAP (Sell): - Calculated as (\(0.7 \times 5\) / 5) = 0.7 ### User-Based Summaries: - Top User by Notional Volume: - User1 with a total of 17 shares involved ### Integrity Checks: - Duplicate Check: No duplicate order_hash or tx_hash detected. - Price Range Check: All price values are within the valid range [0, 1]. - Timestamp Conversion to UTC: - Order 1: 2023-01-01 00:00:00 UTC - Order 2: 2023-01-01 01:00:00 UTC - Order 3: 2023-01-01 02:00:00 UTC This analysis showcases what a typical breakdown could look like based on a structured dataset and is meant to serve as an example of how such data could be interpreted under Polymarket's framework.
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