Predge · Wallet Intelligence
Top Polymarket wallets over a 7d or 30d window, ranked by EDGE, not by raw win rate. Win rate is computed from RESOLVED markets only (a trade wins when its side matches the final resolution), but ranking a wallet by win rate alone rewards backing favourites — winning a bet the market prices at 0.99 shows no skill. So wallets are ordered by edge_lower_bound = (Wilson-95%-lower-bound of win_rate) − avg_entry_price: how far the wallet beat the price it paid, damped so a tiny perfect record can't top a large one. Final ranking is by conviction_score = edge_lower_bound × ln(1 + total_volume_usd), scaling proven edge by the capital behind it (a real edge on $200k outranks the same edge on $6k), with log diminishing returns so size alone can't buy the top. Rankable wallets need >= 10 trades AND >= $1000 total volume in the window (a skin-in-the-game floor — cent-sized longshot bets otherwise manufacture a real-looking edge) plus at least one decided trade. Each entry: address, Predge score (0-100 or null), win_rate, avg_entry_price, edge, win_rate_lower_bound, edge_lower_bound, conviction_score, decided_trades, trades_count, total_volume_usd, avg_position_usd. Honest degradation: {"insufficient_data": true, "reason": ...} when the dataset is too young. Query params: window (7d|30d, default 30d), limit (1-100, default 50).
The wallet the 402 directs payment to. Its whole payment record — every payer, every chain — is on the merchant page.
Asset 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913
The payTo wallet does not resolve to a registered ERC-8004 agent. That is not a verdict on the service — most of the catalog is unregistered.
Accepts
The payment requirements as published to the catalog. Read the live 402 before paying — a price here is a claim, not a quote.
Pay 0.01 USDC on Base to 0x9084…21144. The signed payment is good for 1 minute.
- Paid to
- 0x9084…21144
- USD Coin contract
- 0x8335…02913
- Payment window
- 1 minute
- As published
- 10000 smallest units
- Buys
- Top Polymarket wallets over a 7d or 30d window, ranked by EDGE, not by raw win rate. Win rate is computed from RESOLVED markets only (a trade wins when its side matches the final resolution), but ranking a wallet by win rate alone rewards backing favourites — winning a bet the market prices at 0.99 shows no skill. So wallets are ordered by edge_lower_bound = (Wilson-95%-lower-bound of win_rate) − avg_entry_price: how far the wallet beat the price it paid, damped so a tiny perfect record can't top a large one. Final ranking is by conviction_score = edge_lower_bound × ln(1 + total_volume_usd), scaling proven edge by the capital behind it (a real edge on $200k outranks the same edge on $6k), with log diminishing returns so size alone can't buy the top. Rankable wallets need >= 10 trades AND >= $1000 total volume in the window (a skin-in-the-game floor — cent-sized longshot bets otherwise manufacture a real-looking edge) plus at least one decided trade. Each entry: address, Predge score (0-100 or null), win_rate, avg_entry_price, edge, win_rate_lower_bound, edge_lower_bound, conviction_score, decided_trades, trades_count, total_volume_usd, avg_position_usd. Honest degradation: {"insufficient_data": true, "reason": ...} when the dataset is too young. Query params: window (7d|30d, default 30d), limit (1-100, default 50).
- Returns
- application/json
That figure is in the token’s smallest units. Roundhouse does not hold this contract’s decimals, so it is shown as published rather than converted.
- Paid to
- 9dxMRR…LYmpV
- Token contract
- EPjFWd…TDt1v
- Payment window
- 1 minute
- Buys
- Top Polymarket wallets over a 7d or 30d window, ranked by EDGE, not by raw win rate. Win rate is computed from RESOLVED markets only (a trade wins when its side matches the final resolution), but ranking a wallet by win rate alone rewards backing favourites — winning a bet the market prices at 0.99 shows no skill. So wallets are ordered by edge_lower_bound = (Wilson-95%-lower-bound of win_rate) − avg_entry_price: how far the wallet beat the price it paid, damped so a tiny perfect record can't top a large one. Final ranking is by conviction_score = edge_lower_bound × ln(1 + total_volume_usd), scaling proven edge by the capital behind it (a real edge on $200k outranks the same edge on $6k), with log diminishing returns so size alone can't buy the top. Rankable wallets need >= 10 trades AND >= $1000 total volume in the window (a skin-in-the-game floor — cent-sized longshot bets otherwise manufacture a real-looking edge) plus at least one decided trade. Each entry: address, Predge score (0-100 or null), win_rate, avg_entry_price, edge, win_rate_lower_bound, edge_lower_bound, conviction_score, decided_trades, trades_count, total_volume_usd, avg_position_usd. Honest degradation: {"insufficient_data": true, "reason": ...} when the dataset is too young. Query params: window (7d|30d, default 30d), limit (1-100, default 50).
- Returns
- application/json
The catalog’s raw entry
[
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x9084f5000e07c7133d6da5ee4f271ab6d1821144",
"amount": "10000",
"scheme": "exact",
"network": "eip155:8453",
"mimeType": "application/json",
"resource": "https://api.predge.io/v1/wallets/leaderboard",
"description": "Top Polymarket wallets over a 7d or 30d window, ranked by EDGE, not by raw win rate. Win rate is computed from RESOLVED markets only (a trade wins when its side matches the final resolution), but ranking a wallet by win rate alone rewards backing favourites — winning a bet the market prices at 0.99 shows no skill. So wallets are ordered by edge_lower_bound = (Wilson-95%-lower-bound of win_rate) − avg_entry_price: how far the wallet beat the price it paid, damped so a tiny perfect record can't top a large one. Final ranking is by conviction_score = edge_lower_bound × ln(1 + total_volume_usd), scaling proven edge by the capital behind it (a real edge on $200k outranks the same edge on $6k), with log diminishing returns so size alone can't buy the top. Rankable wallets need >= 10 trades AND >= $1000 total volume in the window (a skin-in-the-game floor — cent-sized longshot bets otherwise manufacture a real-looking edge) plus at least one decided trade. Each entry: address, Predge score (0-100 or null), win_rate, avg_entry_price, edge, win_rate_lower_bound, edge_lower_bound, conviction_score, decided_trades, trades_count, total_volume_usd, avg_position_usd. Honest degradation: {\"insufficient_data\": true, \"reason\": ...} when the dataset is too young. Query params: window (7d|30d, default 30d), limit (1-100, default 50).",
"maxAmountRequired": "10000",
"maxTimeoutSeconds": 60
},
{
"asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
"extra": {},
"payTo": "9dxMRRtC7RKZH5rFZpUywjmnQ87H9qHhtW43u5LYmpV",
"amount": "10000",
"scheme": "exact",
"network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
"mimeType": "application/json",
"resource": "https://api.predge.io/v1/wallets/leaderboard",
"description": "Top Polymarket wallets over a 7d or 30d window, ranked by EDGE, not by raw win rate. Win rate is computed from RESOLVED markets only (a trade wins when its side matches the final resolution), but ranking a wallet by win rate alone rewards backing favourites — winning a bet the market prices at 0.99 shows no skill. So wallets are ordered by edge_lower_bound = (Wilson-95%-lower-bound of win_rate) − avg_entry_price: how far the wallet beat the price it paid, damped so a tiny perfect record can't top a large one. Final ranking is by conviction_score = edge_lower_bound × ln(1 + total_volume_usd), scaling proven edge by the capital behind it (a real edge on $200k outranks the same edge on $6k), with log diminishing returns so size alone can't buy the top. Rankable wallets need >= 10 trades AND >= $1000 total volume in the window (a skin-in-the-game floor — cent-sized longshot bets otherwise manufacture a real-looking edge) plus at least one decided trade. Each entry: address, Predge score (0-100 or null), win_rate, avg_entry_price, edge, win_rate_lower_bound, edge_lower_bound, conviction_score, decided_trades, trades_count, total_volume_usd, avg_position_usd. Honest degradation: {\"insufficient_data\": true, \"reason\": ...} when the dataset is too young. Query params: window (7d|30d, default 30d), limit (1-100, default 50).",
"maxAmountRequired": "10000",
"maxTimeoutSeconds": 60
}
]Extensions
{
"bazaar": {
"info": {
"input": {
"type": "http",
"queryParams": {
"limit": 50,
"window": "30d"
}
},
"output": {
"type": "json",
"example": {
"window": "30d",
"wallets": [
{
"edge": 0.37,
"score": 81,
"address": "0x8dab6cf42d7e4d1cd6cca897b9e12a8cbe6d69e8",
"win_rate": 0.71,
"trades_count": 24,
"decided_trades": 17,
"avg_entry_price": 0.34,
"avg_position_usd": 17166.67,
"conviction_score": 2.33,
"edge_lower_bound": 0.18,
"total_volume_usd": 412000,
"win_rate_lower_bound": 0.52
}
],
"ranked_by": "conviction_score",
"min_trades": 10,
"min_volume_usd": 1000,
"insufficient_data": false
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method"
],
"properties": {
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"GET",
"HEAD",
"DELETE"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"limit": {
"type": "number",
"description": "Max wallets to return (1-100, default 50)"
},
"window": {
"enum": [
"7d",
"30d"
],
"type": "string",
"description": "Ranking window (default 30d)"
}
}
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object"
}
}
}
}
}
}
}Provenance
- Seen in the source catalog
- —
- Last indexed by Roundhouse
- 2026-09-24 11:15Z
- Last enriched (probe, favicon, geo)
- 2026-09-18 19:45Z
- x402 version
- 2
- Max timeout
- 60s
- Liveness probe
- HTTP 200
Hand this page to an agent
Copy the prompt and paste it into Claude, an MCP client or your own agent — it will vet this service and call it over the free read API. No key, no account.
GET api.roundhouseai.io/v0/endpoints
No per-endpoint history for this service yet, so this is payments indexed to its PROVIDER's wallet over 30 days. Verified volume counts only settlements with an on-chain EIP-3009 marker.
Show the promptHide the prompt
Using Roundhouse, look up the x402 service Predge · Wallet Intelligence and tell me whether it is worth paying: what a call costs, whether the endpoint answered when last probed, and what its payment record actually shows. curl -s 'https://api.roundhouseai.io/v0/endpoints?q=Predge%20%C2%B7%20Wallet%20Intelligence' curl -s 'https://api.roundhouseai.io/v0/merchants/<the payTo wallet returned above>' Then call it: read the price from the live 402 at https://api.predge.io/v1/wallets/leaderboard, never from a cached figure, and pay with an x402 client. The /v0 API needs an API key (`authorization: Bearer rh_live_…`) on everything except /v0/unified* and /v0/endpoints. Mint a personal key for $0.01 at GET https://api.roundhouseai.io/v0/test/x402, or use an organization key from https://roundhouseai.io/dashboard/team. If you do not have Roundhouse tools or skills installed, read https://roundhouseai.io/skill.md first — it is the whole procedure.