Polymarket Trader Profiles | BlockRun

Share up to 20 public Polymarket profile links to review available trading history, trading totals and profit or loss. Compare the past week with all available history; if a profile or details cannot be found, your AI will say so.

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Use Toolmu’s “Polymarket Trader Profiles” tool with the public profile links in [brackets]. Open each public profile and use what the page shows to find the right account. Do not ask the user to look up or copy a long string of letters and numbers. If you cannot tell which account a link belongs to, explain simply and ask for a different public Polymarket profile link. Never guess or choose a similar account. Use up to 20 profiles; if there are more, ask which to include. Summarize available trading totals and gains or losses for the past week and all history the source shows. Compare the same time periods; explain information that is missing, and do not treat it as zero. Mention available data times. Public history may be incomplete. Do not claim that you verified who owns the account, that the history is complete, that it shows current balances, or that it predicts future returns. Before any paid lookup, tell the user the current Toolmu price and wait for approval. Follow the connection guide only when help connecting is needed.

Task:
Review [Polymarket profile link] and explain the available public trading history in plain language. Compare the past week with all available history, including trading totals and profit or loss. If the link does not clearly identify an account or the profile cannot be found, tell me; do not guess.

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Connection guide

Up to 0.01122 credits / call

The final charge is based on confirmed usage. Unused reserved credits return to your available balance.

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Polymarket Trader Profiles | BlockRun

You receive

Retrieve performance profiles for the Polymarket wallets you choose. Provide one to 20 wallet addresses; each returned profile identifies its wallet and groups metrics into rolling 1-day, 7-day and 30-day windows plus the source’s all-time scope. Review USD trading volume, realized and total P&L, trade and closed-position counts, ROI and win rate. ROI and win rate use decimal scales, so your Agent can display them as percentages. All-time figures add open-position counts, holding duration, days since the first trade, streaks and best/worst position results. Profiles can also include unrealized P&L, average prices, source trading-style labels and trade/calculation times. Ask your Agent to align matching windows across the returned wallets, keep realized and unrealized amounts separate, and show missing values rather than treating them as zero.

Start with your task

Review [Polymarket profile link] and explain the available public trading history in plain language. Compare the past week with all available history, including trading totals and profit or loss. If the link does not clearly identify an account or the profile cannot be found, tell me; do not guess.

What to know

Wallets not found by the source are omitted; match profiles by their returned addresses. Rolling windows and all-time figures do not guarantee complete history or current balances. The source does not specify ROI/win-rate denominators or rolling cutoffs. Trading-style labels are source classifications, not verified personal identities or forecasts of returns.

Inputs & outputs

Inspect the current inputs, availability, and maximum charge before starting.

Input schema

Input schema
Field / Path	Type	Requirement	Meaning
Wallet-address query settings`queryParams`	`object`	Optional	Put the required addresses string directly in this object: comma-separated Polymarket wallet addresses, at most 20. No empty default, window, limit or pagination control is documented.
Nested query object`queryParams.query`	`object`	Optional	Optional generic container forwarded unchanged. It is not flattened into the source query; place addresses directly in queryParams instead.

View raw JSON

{
  "type": "object",
  "required": [],
  "properties": {
    "queryParams": {
      "type": "object",
      "properties": {
        "query": {
          "type": "object",
          "required": [],
          "properties": {}
        }
      }
    }
  },
  "additionalProperties": false
}

Result schema

No fixed output contract is available. Field types reflect saved result evidence; individual responses can differ.

Result schema
Field / Path	Type	Meaning
Found wallet profiles`result`	`array`	Profiles found for the supplied addresses; omitted wallets are not represented by empty placeholder records. Match profiles by address, not array order.
Wallet address`result[].user`	`string`	Public wallet address identifying this profile. It is not a username or verified personal identity.
Metrics by time scope`result[].metrics`	`object`	Rolling 1-day, 7-day, 30-day and all-time metrics are returned together; these labels are not query filters or calendar-day cutoffs.
Last 1 day metrics`result[].metrics.one_day`	`object`	Last 1 day rolling metrics; exact cutoff, timezone and sampling cadence are unspecified.
Last 1 day Return on investment`result[].metrics.one_day.roi`	`number`	Source ROI uses a decimal scale: 0.5 means 50%. Multiply by 100 only when displaying a percentage; the investment denominator, annualization and zero case are unspecified.
Last 1 day Winning positions closed`result[].metrics.one_day.wins`	`number`	Number of winning positions closed in this scope, not a forecast of future wins.
Last 1 day Losing positions closed`result[].metrics.one_day.losses`	`number`	Number of losing positions closed in this scope; distinct from the trade count.
Last 1 day Trade count`result[].metrics.one_day.trades`	`number`	Number of trades in this scope. It is not a count of people, markets or necessarily unique orders or transactions.
Last 1 day Trading volume`result[].metrics.one_day.volume`	`number`	Trading turnover in USD for this scope, not shares, profit or wallet balance. The buy/sell summing method is unspecified.
Last 1 day Win rate`result[].metrics.one_day.win_rate`	`number`	Source win rate is a decimal: 0.6 means 60%. The exact denominator and handling of a zero denominator are not specified.
Last 1 day Net taker fees`result[].metrics.one_day.fees_paid`	`number`	Reported taker fees in USD. Refunds are already netted into this amount; do not subtract the refund field again.
Last 1 day Total P&L`result[].metrics.one_day.total_pnl`	`number`	USD total defined as realized plus unrealized P&L minus net fees in this scope. It can be null; do not replace missing data with zero.
Last 1 day Realized P&L`result[].metrics.one_day.realized_pnl`	`number`	USD profit or loss from closed positions in this scope; keep it separate from unrealized P&L.
Last 1 day Average buy price`result[].metrics.one_day.avg_buy_price`	`null`	Volume-weighted average buy price on a 0–1 scale; it can be null. This rolling-window model does not state a YES adjustment or independent currency.
Last 1 day Deprecated refund field`result[].metrics.one_day.fees_refunded`	`number`	The source marks this field deprecated and always 0 because refunds are netted into paid fees. Preserve the reported value; it is not a separate refund balance.
Last 1 day Profit factor`result[].metrics.one_day.profit_factor`	`number`	Gross profit divided by gross loss. This is a ratio, not a percentage; zero gross-loss handling is unspecified.
Last 1 day Average sell price`result[].metrics.one_day.avg_sell_price`	`null`	Volume-weighted average sell price on a 0–1 scale; it can be null. This rolling-window model does not state a YES adjustment or independent currency.
Last 1 day Closed-position count`result[].metrics.one_day.positions_closed`	`number`	Number of positions closed in this scope; it is a separate measure from trades and total token positions ever opened.
All-time metrics`result[].metrics.all_time`	`object`	Source all-time metrics with extended duration, position and streak measures; not a complete-lifetime guarantee.
All-time Return on investment`result[].metrics.all_time.roi`	`number`	Source ROI uses a decimal scale: 0.5 means 50%. Multiply by 100 only when displaying a percentage; the investment denominator, annualization and zero case are unspecified.
All-time Winning positions closed`result[].metrics.all_time.wins`	`number`	Number of winning positions closed in this scope, not a forecast of future wins.
All-time Losing positions closed`result[].metrics.all_time.losses`	`number`	Number of losing positions closed in this scope; distinct from the trade count.
All-time Trade count`result[].metrics.all_time.trades`	`number`	Number of trades in this scope. It is not a count of people, markets or necessarily unique orders or transactions.
All-time Trading volume`result[].metrics.all_time.volume`	`number`	Trading turnover in USD for this scope, not shares, profit or wallet balance. The buy/sell summing method is unspecified.
All-time Win rate`result[].metrics.all_time.win_rate`	`number`	Source win rate is a decimal: 0.6 means 60%. The exact denominator and handling of a zero denominator are not specified.
All-time Net taker fees`result[].metrics.all_time.fees_paid`	`number`	Reported taker fees in USD. Refunds are already netted into this amount; do not subtract the refund field again.
All-time Total P&L`result[].metrics.all_time.total_pnl`	`number`	USD total defined as realized plus unrealized P&L minus net fees in this scope. It can be null; do not replace missing data with zero.
All-time Realized P&L`result[].metrics.all_time.realized_pnl`	`number`	USD profit or loss from closed positions in this scope; keep it separate from unrealized P&L.
All-time Average buy price`result[].metrics.all_time.avg_buy_price`	`number`	All-time volume-weighted average price, YES-adjusted on a 0–1 scale; nullable. The adjustment algorithm and independent currency are unspecified.
All-time Deprecated refund field`result[].metrics.all_time.fees_refunded`	`number`	The source marks this field deprecated and always 0 because refunds are netted into paid fees. Preserve the reported value; it is not a separate refund balance.
All-time Profit factor`result[].metrics.all_time.profit_factor`	`number`	Gross profit divided by gross loss. This is a ratio, not a percentage; zero gross-loss handling is unspecified.
All-time Average sell price`result[].metrics.all_time.avg_sell_price`	`null`	All-time volume-weighted average price, YES-adjusted on a 0–1 scale; nullable. The adjustment algorithm and independent currency are unspecified.
All-time Longest winning streak`result[].metrics.all_time.max_win_streak`	`number`	Maximum consecutive wins reported by the source. Ordering, ties and reset rules are not specified.
All-time Longest losing streak`result[].metrics.all_time.max_loss_streak`	`number`	Maximum consecutive losses reported by the source. Ordering, ties and reset rules are not specified.
All-time Token positions ever opened`result[].metrics.all_time.total_positions`	`number`	Total token positions ever opened. YES and NO count separately; this is not the number of distinct markets.
All-time Days since first trade`result[].metrics.all_time.wallet_age_days`	`number`	Days since the first trade, not the age of the blockchain account or a person.
All-time Open-position count`result[].metrics.all_time.active_positions`	`number`	Currently open positions in the source’s computed metrics; no live portfolio or freshness guarantee.
All-time Closed-position count`result[].metrics.all_time.positions_closed`	`number`	Number of positions closed in this scope; it is a separate measure from trades and total token positions ever opened.
All-time Average holding duration`result[].metrics.all_time.avg_hold_time_seconds`	`number`	Average hold time measured in seconds; a duration, not a timestamp or calendar date.
All-time Best position realized P&L`result[].metrics.all_time.best_position_realized_pnl`	`number`	Best single-position realized P&L in USD according to the source, not a future return.
All-time Worst position realized P&L`result[].metrics.all_time.worst_position_realized_pnl`	`number`	Worst single-position realized P&L in USD according to the source; preserve negative values.
Last 7 days metrics`result[].metrics.seven_day`	`object`	Last 7 days rolling metrics; exact cutoff, timezone and sampling cadence are unspecified.
Last 7 days Return on investment`result[].metrics.seven_day.roi`	`number`	Source ROI uses a decimal scale: 0.5 means 50%. Multiply by 100 only when displaying a percentage; the investment denominator, annualization and zero case are unspecified.
Last 7 days Winning positions closed`result[].metrics.seven_day.wins`	`number`	Number of winning positions closed in this scope, not a forecast of future wins.
Last 7 days Losing positions closed`result[].metrics.seven_day.losses`	`number`	Number of losing positions closed in this scope; distinct from the trade count.
Last 7 days Trade count`result[].metrics.seven_day.trades`	`number`	Number of trades in this scope. It is not a count of people, markets or necessarily unique orders or transactions.
Last 7 days Trading volume`result[].metrics.seven_day.volume`	`number`	Trading turnover in USD for this scope, not shares, profit or wallet balance. The buy/sell summing method is unspecified.
Last 7 days Win rate`result[].metrics.seven_day.win_rate`	`number`	Source win rate is a decimal: 0.6 means 60%. The exact denominator and handling of a zero denominator are not specified.
Last 7 days Net taker fees`result[].metrics.seven_day.fees_paid`	`number`	Reported taker fees in USD. Refunds are already netted into this amount; do not subtract the refund field again.
Last 7 days Total P&L`result[].metrics.seven_day.total_pnl`	`number`	USD total defined as realized plus unrealized P&L minus net fees in this scope. It can be null; do not replace missing data with zero.
Last 7 days Realized P&L`result[].metrics.seven_day.realized_pnl`	`number`	USD profit or loss from closed positions in this scope; keep it separate from unrealized P&L.
Last 7 days Average buy price`result[].metrics.seven_day.avg_buy_price`	`null`	Volume-weighted average buy price on a 0–1 scale; it can be null. This rolling-window model does not state a YES adjustment or independent currency.
Last 7 days Deprecated refund field`result[].metrics.seven_day.fees_refunded`	`number`	The source marks this field deprecated and always 0 because refunds are netted into paid fees. Preserve the reported value; it is not a separate refund balance.
Last 7 days Profit factor`result[].metrics.seven_day.profit_factor`	`number`	Gross profit divided by gross loss. This is a ratio, not a percentage; zero gross-loss handling is unspecified.
Last 7 days Average sell price`result[].metrics.seven_day.avg_sell_price`	`null`	Volume-weighted average sell price on a 0–1 scale; it can be null. This rolling-window model does not state a YES adjustment or independent currency.
Last 7 days Closed-position count`result[].metrics.seven_day.positions_closed`	`number`	Number of positions closed in this scope; it is a separate measure from trades and total token positions ever opened.
Last 30 days metrics`result[].metrics.thirty_day`	`object`	Last 30 days rolling metrics; exact cutoff, timezone and sampling cadence are unspecified.
Last 30 days Return on investment`result[].metrics.thirty_day.roi`	`number`	Source ROI uses a decimal scale: 0.5 means 50%. Multiply by 100 only when displaying a percentage; the investment denominator, annualization and zero case are unspecified.
Last 30 days Winning positions closed`result[].metrics.thirty_day.wins`	`number`	Number of winning positions closed in this scope, not a forecast of future wins.
Last 30 days Losing positions closed`result[].metrics.thirty_day.losses`	`number`	Number of losing positions closed in this scope; distinct from the trade count.
Last 30 days Trade count`result[].metrics.thirty_day.trades`	`number`	Number of trades in this scope. It is not a count of people, markets or necessarily unique orders or transactions.
Last 30 days Trading volume`result[].metrics.thirty_day.volume`	`number`	Trading turnover in USD for this scope, not shares, profit or wallet balance. The buy/sell summing method is unspecified.
Last 30 days Win rate`result[].metrics.thirty_day.win_rate`	`number`	Source win rate is a decimal: 0.6 means 60%. The exact denominator and handling of a zero denominator are not specified.
Last 30 days Net taker fees`result[].metrics.thirty_day.fees_paid`	`number`	Reported taker fees in USD. Refunds are already netted into this amount; do not subtract the refund field again.
Last 30 days Total P&L`result[].metrics.thirty_day.total_pnl`	`number`	USD total defined as realized plus unrealized P&L minus net fees in this scope. It can be null; do not replace missing data with zero.
Last 30 days Realized P&L`result[].metrics.thirty_day.realized_pnl`	`number`	USD profit or loss from closed positions in this scope; keep it separate from unrealized P&L.
Last 30 days Average buy price`result[].metrics.thirty_day.avg_buy_price`	`null`	Volume-weighted average buy price on a 0–1 scale; it can be null. This rolling-window model does not state a YES adjustment or independent currency.
Last 30 days Deprecated refund field`result[].metrics.thirty_day.fees_refunded`	`number`	The source marks this field deprecated and always 0 because refunds are netted into paid fees. Preserve the reported value; it is not a separate refund balance.
Last 30 days Profit factor`result[].metrics.thirty_day.profit_factor`	`number`	Gross profit divided by gross loss. This is a ratio, not a percentage; zero gross-loss handling is unspecified.
Last 30 days Average sell price`result[].metrics.thirty_day.avg_sell_price`	`null`	Volume-weighted average sell price on a 0–1 scale; it can be null. This rolling-window model does not state a YES adjustment or independent currency.
Last 30 days Closed-position count`result[].metrics.thirty_day.positions_closed`	`number`	Number of positions closed in this scope; it is a separate measure from trades and total token positions ever opened.
Profile total P&L`result[].total_pnl`	`number`	Nullable source total P&L defined as realized plus unrealized minus net fees. Preserve the reported total rather than reconstructing it from rounded display values.
Average-price edge`result[].entry_edge`	`null`	Nullable source price edge, defined as average sell price minus average buy price. Its aggregation basis and time scope are unspecified; it is not future trading advantage.
Metrics calculation time`result[].computed_at`	`number`	Nullable source Unix timestamp of metrics calculation. This exact operation does not state seconds or milliseconds; keep its reported value and distinguish it from request completion.
Last trade time`result[].last_trade_at`	`number`	Nullable source Unix timestamp of last trade. This exact operation does not state seconds or milliseconds; keep its reported value and distinguish it from request completion.
First trade time`result[].first_trade_at`	`number`	Nullable source Unix timestamp of first trade. This exact operation does not state seconds or milliseconds; keep its reported value and distinguish it from request completion.
Source trading-style labels`result[].trading_styles`	`object`	Multi-label source classifications; several flags may be true together. Their calculation window and priority are unspecified, and they are not forecasts.
Source high-risk-pattern flag`result[].trading_styles.is_degen`	`boolean`	Source classification for win rate below 35% with at least 50 closes. This label is not an independent risk or suitability assessment.
Large-trade style flag`result[].trading_styles.is_whale`	`boolean`	Source flag for average trades greater than USD 1,000; it does not independently verify personal wealth.
Contrarian style flag`result[].trading_styles.is_contrarian`	`boolean`	Source flag for taking unpopular sides at prices at most 0.25; classification window and weighting are unspecified.
Primary trading style`result[].trading_styles.primary_style`	`string`	Primary style string assigned by the source. No closed set of values or priority among overlapping flags is specified.
Buy-and-hold style flag`result[].trading_styles.is_buy_and_hold`	`boolean`	Source flag for long holding periods with at most 2 trades per position; the duration cutoff is unspecified.
Market-maker style flag`result[].trading_styles.is_market_maker`	`boolean`	Source classification for balanced buying/selling plus frequent trading; exact numerical cutoffs are unspecified.
Value-hunter style flag`result[].trading_styles.is_value_hunter`	`boolean`	Source flag for entries at uncertain odds between 0.35 and 0.55; not a recommendation to copy those trades.
Active-trader style flag`result[].trading_styles.is_active_trader`	`boolean`	Source flag for more than 4 trades per position; no classification window is stated.
High-conviction style flag`result[].trading_styles.is_high_conviction`	`boolean`	Source flag for buying at YES prices at least 0.80; it does not prove that the selected outcome will win.
Unrealized P&L`result[].unrealized_pnl`	`number`	Nullable total unrealized P&L in USD. Keep it separate from closed-position realized P&L and wallet cash balance.

Additional notes

Compare the same time scope

The official wallet profile documentation returns rolling 1-day, 7-day and 30-day metrics together with all-time figures. Compare wallets within the same scope. Do not add overlapping windows together or turn them into calendar-day buckets merely because a timestamp is displayed in a particular timezone; exact rolling cutoffs are not supplied.

Keep money, ratios and counts distinct

USD trading turnover is not profit or available wallet cash. Read realized and unrealized P&L separately and preserve the source’s total. Fee refunds are already netted into the reported fee amount, so subtracting them again would double-count them. Missing averages and amounts remain unavailable, even when other measures are zero.

ROI and win rate use decimal scales, while profit factor is a ratio rather than a percentage. The source does not specify the ROI/win-rate denominators or zero-denominator behavior. Trade counts, closed positions and token positions ever opened are different measures; YES and NO token positions count separately, so these figures are not interchangeable market counts.

Read classifications and calculation times in context

Style flags can overlap and are source classifications rather than identity verification or a recommendation to copy trades. Their calculation window and the priority of a primary label are unspecified. Separate first/last trade times from the metrics calculation time and request completion. The source describes Unix timestamps without stating seconds or milliseconds; preserve the reported values when their unit is not confirmed, and do not treat a calculation timestamp as a promised refresh schedule.

Polymarket Trader Profiles | BlockRun

Polymarket Trader Profiles | BlockRun

You receive

Start with your task

What to know

Inputs & outputs

Input schema

Result schema

Compare the same time scope

Keep money, ratios and counts distinct

Read classifications and calculation times in context

Use your usual AI

Summarize one profile

Compare two profiles