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Polymarket Trader Skill Rankings
x402
Polymarket Trader Skill Rankings is a paid API for AI agents from proxy.suverse.io, paid per call via x402, $0.050000/call, status unknown (last checked 2026-09-14).
Returns difficulty-adjusted skill scores and rankings for Polymarket traders, segmented by category (politics, crypto, sports, macro) with resolution-validated performance metrics.
Price / call$0.050000
Success—
StatusUnknown
How this service works
Polymarket trader skill rankings. Difficulty-adjusted skill scores per category (politics/crypto/sports/macro). Resolution-validated performance, hashed addresses, confidence-scored. $0.05/call. Keywords: polymarket, trader, skill, ranking, prediction-market.
Output
Returns a ranked list of Polymarket traders with difficulty-adjusted skill scores per requested category (politics, crypto, sports, or macro), including hashed wallet addresses, resolution-validated performance metrics, and confidence scores indicating reliability of each ranking.
Example use cases
Top crypto prediction market traders
“Who are the most skilled Polymarket traders in the crypto category? I want their difficulty-adjusted scores and confidence levels, not just who made the most money.”
Compare sports traders skill scores
“Pull up the skill rankings for Polymarket traders in sports predictions — I'm looking for resolution-validated performance so I can see who's consistently good, not just lucky.”
Identify skilled macro forecasters
“Find me the top-ranked macro traders on Polymarket with their difficulty-adjusted skill scores and confidence ratings — I want to know which forecasters have a proven track record across macro events.”
Technical details
Endpoint
POSThttps://proxy.suverse.io/v1/data/polymarket-trader-skillWhen to prefer
Use this endpoint when you need objective, difficulty-adjusted skill assessments of Polymarket traders rather than raw profit/loss figures — ideal for identifying consistently skilled predictors across specific domains like politics, crypto, sports, or macro, where you want resolution-validated, confidence-scored rankings rather than just position sizes or recent performance.
Side effects
- Invalid or unsupported category returns an error or empty result
- Insufficient resolution history for a trader yields low-confidence or missing scores
- Payment failure (insufficient USDC balance) returns a 402 error
- Rate limiting or timeout returns a 5xx error
- No traders found matching filter criteria returns empty ranked list
Input
{
"input": {
"body": {
"limit": 10,
"sort_by": "overall_score",
"category": "politics",
"include_confidence": true
},
"type": "http",
"method": "POST",
"bodyType": "json"
}
}Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
{
"data": [
{
"rank": 1,
"tier": "top_25",
"win_rate": 1,
"wins_count": 24,
"losses_count": 0,
"last_active_at": "2026-06-03T22:42:24.000Z",
"category_skills": {
"macro": {
"score": 7.65,
"events_count": 2
},
"other": {
"score": 65,
"events_count": 17
},
"crypto": {
"score": null,
"events_count": 0
},
"sports": {
"score": null,
"events_count": 0
},
"politics": {
"score": 7.65,
"events_count": 2
}
},
"first_seen_date": "2026-06-01",
"skill_breakdown": {
"profit_factor": 10,
"brier_normalized": 100,
"sample_size_factor": 0.5034,
"market_difficulty_avg": 25.24
},
"confidence_score": 67.5,
"overall_skill_score": 80.29,
"trader_address_hash": "0xec990611188040dd",
"active_markets_count": 9,
"total_volume_90d_usd": 13327.4,
"resolved_markets_count": 21
},
{
"rank": 2,
"tier": "top_50",
"win_rate": 0.8679,
"wins_count": 46,
"losses_count": 7,
"last_active_at": "2026-06-03T22:46:57.000Z",
"category_skills": {
"macro": {
"score": null,
"events_count": 0
},
"other": {
"score": 19.68,
"events_count": 7
},
"crypto": {
"score": null,
"events_count": 0
},
"sports": {
"score": 44.99,
"events_count": 16
},
"politics": {
"score": 5.62,
"events_count": 2
}
},
"first_seen_date": "2026-06-02",
"skill_breakdown": {
"profit_factor": 10,
"brier_normalized": 100,
"sample_size_factor": 0.5654,
"market_difficulty_avg": 62.84
},
"confidence_score": 74.17,
"overall_skill_score": 70.29,
"trader_address_hash": "0x01882972c5c51b23",
"active_markets_count": 39,
"total_volume_90d_usd": 3574.42,
"resolved_markets_count": 25
},
{
"rank": 3,
"tier": "top_50",
"win_rate": 0.8939,
"wins_count": 59,
"losses_count": 7,
"last_active_at": "2026-06-03T22:49:19.000Z",
"category_skills": {
"macro": {
"score": null,
"events_count": 0
},
"other": {
"score": 25.5,
"events_count": 10
},
"crypto": {
"score": 2.55,
"events_count": 1
},
"sports": {
"score": 5.1,
"events_count": 2
},
"politics": {
"score": 35.7,
"events_count": 14
}
},
"first_seen_date": "2026-05-06",
"skill_breakdown": {
"profit_factor": 10,
"brier_normalized": 100,
"sample_size_factor": 0.5934,
"market_difficulty_avg": 39.6
},
"confidence_score": 85,
"overall_skill_score": 68.85,
"trader_address_hash": "0x4b5eaa4a5a5dab93",
"active_markets_count": 91,
"total_volume_90d_usd": 6360.02,
"resolved_markets_count": 29
},
{
"rank": 4,
"tier": "top_50",
"win_rate": 1,
"wins_count": 61,
"losses_count": 0,
"last_active_at": "2026-06-03T22:49:54.000Z",
"category_skills": {
"macro": {
"score": null,
"events_count": 0
},
"other": {
"score": 50.78,
"events_count": 30
},
"crypto": {
"score": null,
"events_count": 0
},
"sports": {
"score": null,
"events_count": 0
},
"politics": {
"score": 15.23,
"events_count": 9
}
},
"first_seen_date": "2026-05-20",
"skill_breakdown": {
"profit_factor": 10,
"brier_normalized": 100,
"sample_size_factor": 0.7275,
"market_difficulty_avg": 32.82
},
"confidence_score": 75,
"overall_skill_score": 66.01,
"trader_address_hash": "0xe522e1966a694440",
"active_markets_count": 88,
"total_volume_90d_usd": 3850.94,
"resolved_markets_count": 39
},
{
"rank": 5,
"tier": "active",
"win_rate": 1,
"wins_count": 63,
"losses_count": 0,
"last_active_at": "2026-06-03T22:38:00.000Z",
"category_skills": {
"macro": {
"score": null,
"events_count": 0
},
"other": {
"score": 50.2,
"events_count": 31
},
"crypto": {
"score": 1.62,
"events_count": 1
},
"sports": {
"score": null,
"events_count": 0
},
"politics": {
"score": 12.96,
"events_count": 8
}
},
"first_seen_date": "2026-05-11",
"skill_breakdown": {
"profit_factor": 10,
"brier_normalized": 100,
"sample_size_factor": 0.7364,
"market_difficulty_avg": 26.01
},
"confidence_score": 82.5,
"overall_skill_score": 64.78,
"trader_address_hash": "0x15fa2b1aa05d0df3",
"active_markets_count": 128,
"total_volume_90d_usd": 3140.99,
"resolved_markets_count": 40
},
{
"rank": 6,
"tier": "active",
"win_rate": 1,
"wins_count": 32,
"losses_count": 0,
"last_active_at": "2026-06-03T22:49:40.000Z",
"category_skills": {
"macro": {
"score": null,
"events_count": 0
},
"other": {
"score": 23.99,
"events_count": 9
},
"crypto": {
"score": null,
"events_count": 0
},
"sports": {
"score": 2.67,
"events_count": 1
},
"politics": {
"score": 37.32,
"events_count": 14
}
},
"first_seen_date": "2026-05-21",
"skill_breakdown": {
"profit_factor": 10,
"brier_normalized": 100,
"sample_size_factor": 0.5507,
"market_difficulty_avg": 33.25
},
"confidence_score": 72.5,
"overall_skill_score": 63.97,
"trader_address_hash": "0xc477eeec746225cc",
"active_markets_count": 156,
"total_volume_90d_usd": 3736.33,
"resolved_markets_count": 24
},
{
"rank": 7,
"tier": "active",
"win_rate": 1,
"wins_count": 91,
"losses_count": 0,
"last_active_at": "2026-06-03T22:46:04.000Z",
"category_skills": {
"macro": {
"score": null,
"events_count": 0
},
"other": {
"score": 58.02,
"events_count": 36
},
"crypto": {
"score": 3.22,
"events_count": 2
},
"sports": {
"score": null,
"events_count": 0
},
"politics": {
"score": 1.61,
"events_count": 1
}
},
"first_seen_date": "2026-05-27",
"skill_breakdown": {
"profit_factor": 10,
"brier_normalized": 100,
"sample_size_factor": 0.7275,
"market_difficulty_avg": 24.96
},
"confidence_score": 82.5,
"overall_skill_score": 62.86,
"trader_address_hash": "0xf8bcd76196236709",
"active_markets_count": 74,
"total_volume_90d_usd": 9677.97,
"resolved_markets_count": 42
},
{
"rank": 8,
"tier": "active",
"win_rate": 1,
"wins_count": 53,
"losses_count": 0,
"last_active_at": "2026-06-03T22:32:30.000Z",
"category_skills": {
"macro": {
"score": null,
"events_count": 0
},
"other": {
"score": 60.81,
"events_count": 30
},
"crypto": {
"score": null,
"events_count": 0
},
"sports": {
"score": null,
"events_count": 0
},
"politics": {
"score": 2.03,
"events_count": 1
}
},
"first_seen_date": "2026-04-25",
"skill_breakdown": {
"profit_factor": 10,
"brier_normalized": 100,
"sample_size_factor": 0.6442,
"market_difficulty_avg": 25.26
},
"confidence_score": 75,
"overall_skill_score": 62.84,
"trader_address_hash": "0x19863c4195fb621d",
"active_markets_count": 73,
"total_volume_90d_usd": 9664.31,
"resolved_markets_count": 31
}
],
"meta": {
"warnings": [
"easy_market_specialist_tightening_pending"
],
"score_version": "polymarket-v1",
"coverage_level": "beta",
"traders_returned": 8,
"metric_reliability": {
"win_rate": "resolution_locked",
"entry_edge": "verified_lot_reconstructed",
"skill_score": "brier_normalized_v1",
"category_skill": "estimate_low_sample"
},
"total_active_traders": 38,
"calibration_window_days": 60,
"score_calibration_version": "brier-v1-day7"
}
}Schema · Response
| Field | Type | Description |
|---|---|---|
| datarequired | array | |
| metarequired | object |
Tags
x402
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