Polymarket Wallet Cohort Statistics | BlockRun

Compare source-reported trading-style wallet cohorts by metrics window and minimum trade count, using wallet counts, USD realized P&L, trading volume and fees.

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Use the exact Tool polymarket-cohort-stats-blockrun to compare the returned wallet trading-style aggregates. Reuse my Toolmu connection; if setup is needed, follow https://toolmu.com/SKILL.md. Read get_tool for this name and check current availability, maximum credits, balance, and my existing budget and authorization before execution. Source definitions: https://docs.predexon.com/api-reference/analytics/cohort-stats and https://docs.predexon.com/api-reference/trading-labels.

No wallet or market identifier is required. Put requested controls directly in queryParams, not queryParams.query. window accepts 1d, 7d, 30d or all_time (default all_time); min_trades accepts an integer at least 1 or null (default 10). Use input {} for omitted defaults and honor valid explicit choices without asking again. Null does not prove the inclusion filter is disabled; clarify a request to disable it rather than inventing that meaning. No wallet, market, cohort/label selector, date range, limit, sort or cursor control is declared. Clarify unsupported or ambiguous requirements before changing my scope. If I ask to compare named groups, compare those actually returned as a local presentation and report missing ones rather than substituting another group.

Keep the returned names, window and counts; source labels are not verified people, quality ratings or future-return predictions. No fixed group count or complete global wallet coverage is promised. Compare USD volume, realized P&L totals, per-wallet averages and the approximate median separately. Paid-fee totals and averages are USD taker fees with refunds already netted; preserve deprecated refund values without another subtraction or an invented P&L formula. profitable_wallet_pct alone has a stated 0–1 scale; label any percent conversion and retain its raw fraction. Its positive-P&L basis is unspecified. Keep avg_roi and avg_win_rate raw without automatic percent conversion, and do not recompute avg_profit_factor from cohort totals or invent its zero-loss rule.

Preserve negative values, fractional means, zeros, nulls and all returned rows. An empty result or missing requested group does not prove there are no qualifying wallets everywhere. This endpoint has no pagination; do not invent continuation or automatically retry, change the window or threshold, or run extra comparisons outside my authorized scope and budget.

Task:
Compare Polymarket wallets by trading style. For each group, show the number of wallets and their past profit or loss in total, on average, and at a value near the middle.

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Polymarket Wallet Cohort Statistics | BlockRun

Compare source-reported trading-style wallet cohorts by metrics window and minimum trade count, using wallet counts, USD realized P&L, trading volume and fees.

You receive

Get aggregate statistics for the wallet trading-style groups the source returns, including wallet counts, realized P&L totals and averages, an approximate median, volume and available fee values. Your Agent can compare these groups using the same window and inclusion threshold.

Start with your task

Compare Polymarket wallets by trading style. For each group, show the number of wallets and their past profit or loss in total, on average, and at a value near the middle.

What to know

This returns cohort aggregates without wallet-address lookup, custom label filters or arbitrary dates. Group names and coverage follow the source; some ratio scales are unspecified, and past cohort metrics cannot predict a wallet’s future returns.

Inputs & outputs

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

Input schema

Input schema
Field / Path	Type	Requirement	Meaning
Metrics window and inclusion threshold`queryParams`	`object`	Optional	Optional open container. Put window and min_trades directly here. window accepts 1d, 7d, 30d or all_time (default all_time); min_trades accepts an integer at least 1 or null (default 10). Null does not establish that filtering is disabled.
Nested query object`queryParams.query`	`object`	Optional	Optional nested object in the input contract. The exact endpoint controls belong directly in queryParams; this nested object is not flattened, and limit is not an available control.

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
Reported metrics window`result.window`	`string`	The metrics window reported by the source. It is not a data-update timestamp, and an all_time label does not prove complete platform-wide history.
Cohort aggregates`result.cohorts`	`array`	Aggregate rows for the source-defined wallet groups returned by this request. The response contains no wallet-address rows and promises no fixed group count.
Source average ROI`result.cohorts[].avg_roi`	`number`	Average ROI as supplied. Its scale, denominator and averaging formula are unspecified by this response definition; preserve the raw value without automatic percent conversion.
Average trade count`result.cohorts[].avg_trades`	`number`	Average number of trades in the cohort. A mean can be fractional; it is not an integer count for one wallet or a USD amount.
Source cohort name`result.cohorts[].cohort_name`	`string`	The group label returned by the source. Preserve it rather than assigning a new style or assuming every advertised label is present; it does not identify verified people.
Source average win rate`result.cohorts[].avg_win_rate`	`number`	Average win rate as supplied. Its numeric scale and aggregation basis are not stated by the exact cohort model; keep the raw number rather than inventing a percentage.
Cohort volume in USD`result.cohorts[].total_volume`	`number`	Source-reported total trading volume in USD for this cohort. It is separate from realized P&L, fees and wallet balance.
Wallets in the cohort`result.cohorts[].wallet_count`	`number`	The source-reported number of wallets in this group. It is not a transaction count or a count of independently verified people.
Average taker fees in USD`result.cohorts[].avg_fees_paid`	`number`	Average taker fees paid per wallet in USD. The source already nets refunds into paid-fee values; do not apply a second refund adjustment.
Total taker fees in USD`result.cohorts[].total_fees_paid`	`number`	Total taker fees paid by the cohort in USD. Refunds are already netted by the source, and no separate realized-P&L fee formula is declared here.
Average realized P&L in USD`result.cohorts[].avg_realized_pnl`	`number`	Average realized P&L per wallet in USD. Compare it separately from the cohort total and approximate median; it does not include an invented unrealized-P&L figure.
Deprecated average refund field`result.cohorts[].avg_fees_refunded`	`number`	Deprecated field documented as zero because refunds are already netted into fees_paid. Preserve the returned value; zero is not proof that no refunds occurred.
Source average profit factor`result.cohorts[].avg_profit_factor`	`number`	Average profit factor as supplied. Its formula, averaging weights and zero-loss handling are unspecified; do not replace it with a ratio of cohort totals.
Total realized P&L in USD`result.cohorts[].total_realized_pnl`	`number`	Source total realized P&L in USD for the cohort. Preserve its sign; it is distinct from total P&L including unrealized positions or a future return.
Approximate median P&L in USD`result.cohorts[].median_realized_pnl`	`number`	Approximated median realized P&L in USD. This is not the mean or an exact median; the approximation method and precision are unstated.
Deprecated total refund field`result.cohorts[].total_fees_refunded`	`number`	Deprecated field documented as zero because refunds are netted into paid fees. Keep the actual value without subtracting it again from fees or P&L.
Share of wallets with positive P&L`result.cohorts[].profitable_wallet_pct`	`number`	Source fraction of wallets with positive P&L, on the documented 0–1 scale. Its positive-P&L basis is not explicitly realized versus total P&L; a labeled percentage may multiply the raw fraction by 100.
Total wallets across cohorts`result.total_wallets`	`number`	Source-reported total wallets across the cohorts. Inclusion may depend on the minimum-trade threshold; it is not all platform users, verified people or a pagination count.

Additional notes

Reading the source groups

The source classifies wallet behavior rather than verified people. Its primary trading styles follow a documented priority, while entry-price labels such as CONTRARIAN are independent and can overlap with a primary style. Read the group names actually returned; no fixed list or group count is guaranteed.

Use the same metrics window and inclusion threshold for a like-for-like comparison. The source does not specify whether the minimum trade count is measured within that window or whether labels are recalculated for it. A null threshold is allowed without a defined filter-disabling meaning, and the reported wallet total is not a census of every Polymarket user.

Comparing totals, averages and fees

USD realized P&L totals reflect the size of a group. Average realized P&L per wallet and the approximate median answer different questions about its distribution. The median is an estimate with an unspecified approximation method; keep these figures separate from unrealized P&L and avoid treating one mean as the result for every wallet.

Paid-fee totals and averages are source-reported USD taker fees. Refunds are already netted into those values. The deprecated refund fields are documented as zero, which does not prove that no refunds occurred; do not subtract them again or invent an additional realized-P&L calculation.

Interpreting the source ratios

Only profitable_wallet_pct has a documented 0–1 scale: the share of wallets with positive P&L. The source does not specify whether that positivity uses realized or total P&L. Keep avg_roi and avg_win_rate as raw source numbers because their scales are undeclared here. The formula and zero-loss convention for avg_profit_factor are also unspecified; it is not a ratio to reconstruct from cohort totals or a forecast.

See the official cohort statistics reference and source trading-label definitions for these meanings. Use the Toolmu connection guide to send the request from an Agent.

Polymarket Wallet Cohort Statistics | BlockRun

Polymarket Wallet Cohort Statistics | BlockRun

You receive

Start with your task

What to know

Inputs & outputs

Input schema

Result schema

Reading the source groups

Comparing totals, averages and fees

Interpreting the source ratios

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