_ registry / mcp streamable-http · checked 2h ago

parlayapi

https://parlay-api.com

Registry code: 9bd1e78c0218e946

api record

Sports odds, player props and source coverage for AI assistants. Connect with your own API key.

from a public catalogue that lists it, not from the operator

endpoint
https://parlay-api.com/mcp/http
protocol
streamable-http ·2025-06-18
authentication
none observed
public key
none — nobody has proven they own this listing · is it yours? claim it
karma
0 · newcomer
_ is it live, free and safe measured by this hub
Is parlayapi live?
Yes — it answered the hub's last check (checked 2h ago). It answered 98% of checks over the last 30 days.
Is parlayapi free to use?
Partly — some of its tools are open, others need a key or payment.
What tools does parlayapi have?
22 tools: parlayapi_signup, parlayapi_magic_link, parlayapi_book_coverage, parlayapi_set_bettable_books, parlayapi_consensus, parlayapi_live_sports, parlayapi_parlay_verdict, parlayapi_best_bets, ….
Is parlayapi safe to connect?
The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.
reachable
live
uptime, 30 days
98.3%

90 days 98.6%· all time 98.6%

latency
320ms

last good check

priced tools
0

of 22 tools

_ answered our checks, 90 days 364 checks · signed record
  • degraded → live
  • live → degraded· timeout after 20000ms
  • degraded → live
  • live → degraded· timeout after 20000ms
  • degraded → live
_ what it is for
topic
games & entertainment sports
used for
  • get sports betting odds
  • find positive ev bets
  • find arbitrage across sportsbooks
  • grade a parlay
  • get player prop odds
takes → gives
text, data → data
tools
18 reads3 changes data1 sends messages
_ usage and payments 30 days

Calls placed through this hub's router, from its own receipts. Every caller and every payer counts the same; the chain total is counted from three payers.

accounts
0

through this hub

calls served
0

successful

paid through this hub
0 USDC

what callers paid

_ what it can do 22 tools
1 open1 auth-required 20 never probed 2 of 22 classified

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

  • parlayapi_get_pricing reads open 17h ago

    Return the current public pricing table. No API key required. Use this when an agent needs to explain which tier unlocks a workflow before sending a checkout link.

    mcp-tool

    {
  "type": "object",
  "title": "parlayapi_get_pricingArguments",
  "properties": {}
}
    arguments 5 lines
  • parlayapi_list_sports reads auth-required 17h ago

    List available sport keys. Use these in subsequent calls. Examples: baseball_mlb, basketball_nba, americanfootball_nfl, icehockey_nhl, soccer_epl, mma_ufc, esports_lol, table_tennis_*.

    mcp-tool

    {
  "type": "object",
  "title": "parlayapi_list_sportsArguments",
  "properties": {
    "active_only": {
      "type": "boolean",
      "title": "Active Only",
      "default": true
    }
  }
}
    arguments 11 lines
  • parlayapi_signup changes data unknown never probed

    Create a free-tier ParlayAPI account for the given email. Returns the API key, a magic-login URL the user can click to access their dashboard, and a Stripe upgrade URL. Idempotent: if the email already has an account, returns exists=true with the login URL only (the existing API key is intentionally NOT exposed for security). Use this when a user wants to start building with ParlayAPI and does not have a key yet. After signup, ask the user to add the returned api_key to their MCP server config under PARLAYAPI_KEY, then restart the MCP client to pick it up. Args: email: User's email address. intended_use: Optional one-line description of what they're building. Used for analytics. agent_id: Identifier for the agent making the call. Defaults to "mcp-client".

    mcp-tool

    {
  "type": "object",
  "title": "parlayapi_signupArguments",
  "required": [
    "email"
  ],
  "properties": {
    "email": {
      "type": "string",
      "title": "Email"
    },
    "agent_id": {
      "type": "string",
      "title": "Agent Id",
      "default": "mcp-client"
    },
    "intended_use": {
      "type": "string",
      "title": "Intended Use",
      "default": ""
    }
  }
}
    arguments 23 lines
  • parlayapi_magic_link sends messages unknown never probed

    Email a magic-login link for an existing ParlayAPI account. Always returns ok=true regardless of whether the email exists, to prevent account enumeration. The user receives the link by email.

    mcp-tool

    {
  "type": "object",
  "title": "parlayapi_magic_linkArguments",
  "required": [
    "email"
  ],
  "properties": {
    "email": {
      "type": "string",
      "title": "Email"
    }
  }
}
    arguments 13 lines
  • parlayapi_book_coverage reads unknown never probed

    Return public per-book coverage gates. No API key required. This is the proof surface for whether each source survives freshness, normalization, database, REST-shape, and stream-shape checks.

    mcp-tool

    {
  "type": "object",
  "title": "parlayapi_book_coverageArguments",
  "properties": {
    "include_warn": {
      "type": "boolean",
      "title": "Include Warn",
      "default": true
    },
    "window_minutes": {
      "type": "integer",
      "title": "Window Minutes",
      "default": 15
    }
  }
}
    arguments 16 lines
  • parlayapi_set_bettable_books changes data unknown never probed

    Remember which books the user can bet at, so parlayapi_verdict scopes its best-price and shop recommendations to them automatically (no need to pass region/books every call). Call this once when a user tells you where they bet ("I'm in the US on DraftKings and FanDuel"). Pass region OR an exact books list. Args: region: us | eu | uk | au | ca. books: exact CSV of book keys, e.g. "draftkings,fanduel,novig". Overrides region.

    mcp-tool

    {
  "type": "object",
  "title": "parlayapi_set_bettable_booksArguments",
  "properties": {
    "books": {
      "type": "string",
      "title": "Books",
      "default": ""
    },
    "region": {
      "type": "string",
      "title": "Region",
      "default": ""
    }
  }
}
    arguments 16 lines
  • parlayapi_consensus reads unknown never probed

    Get consensus (average) odds across all bookmakers per market. Returns average, best, and worst price per (event, market, player, line), a sharp baseline for line-shopping. Soccer and other 3-way markets return separate home, draw, and away consensus rows. Args: sport_key: e.g. "baseball_mlb", "soccer_epl". markets: Comma-separated market_keys (optional), e.g. "moneyline,totals".

    mcp-tool

    {
  "type": "object",
  "title": "parlayapi_consensusArguments",
  "required": [
    "sport_key"
  ],
  "properties": {
    "markets": {
      "type": "string",
      "title": "Markets",
      "default": ""
    },
    "sport_key": {
      "type": "string",
      "title": "Sport Key"
    }
  }
}
    arguments 18 lines
  • parlayapi_live_sports reads unknown never probed

    List currently active live sports on the retail /live surface. No API key required. Returns sport keys plus live event and book counts so agents can discover what is active right now.

    mcp-tool

    {
  "type": "object",
  "title": "parlayapi_live_sportsArguments",
  "properties": {}
}
    arguments 5 lines
  • parlayapi_parlay_verdict reads unknown never probed

    Grade a multi-leg parlay: should you bet it, and at which book? Give 2 to 12 legs (each shaped like a parlayapi_verdict bet) and get the combined no-vig fair price, the single best BOOK to place the whole slip at (a real parlay is one slip, not best-of-each), the parlay's EV, the weakest leg, same-game correlation warnings, and (with stake) the payout. Best-price is scoped to books the user can bet at (set once via parlayapi_set_bettable_books, or pass region/books here). Args: legs: list of leg objects, e.g. [{"sport": "baseball_mlb", "home": "Detroit Tigers", "away": "Kansas City Royals", "market": "h2h", "side": "Detroit Tigers"}, {"sport": "baseball_mlb", "team": "Detroit Tigers", "market": "totals", "side": "over", "line": 8.5}] Each leg: sport, market (h2h/spreads/totals or a player-prop key), side (team, or over/under), home+away or team, player (for props), line. region: us (default) | eu | uk | au | ca. books: exact CSV of books you can bet at (overrides region). stake: optional stake amount, to compute the payout if it hits. book: optional, also report the parlay price at this specific book.

    mcp-tool

    {
  "type": "object",
  "title": "parlayapi_parlay_verdictArguments",
  "required": [
    "legs"
  ],
  "properties": {
    "book": {
      "type": "string",
      "title": "Book",
      "default": ""
    },
    "legs": {
      "type": "array",
      "items": {
        "type": "object",
        "additionalProperties": true
      },
      "title": "Legs"
    },
    "books": {
      "type": "string",
      "title": "Books",
      "default": ""
    },
    "kelly": {
      "type": "number",
      "title": "Kelly",
      "default": 0.5
    },
    "stake": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Stake",
      "default": null
    },
    "region": {
      "type": "string",
      "title": "Region",
      "default": ""
    },
    "bankroll": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Bankroll",
      "default": null
    }
  }
}
    arguments 61 lines
  • parlayapi_best_bets reads unknown never probed

    What should I bet right now? Ranked +EV plays for a sport. The discovery counterpart to parlayapi_verdict: scans the whole board, grades every candidate with the same no-vig engine, keeps only bets that are +EV at a book the user can bet at, and ranks them by edge. Also returns edge_alerts (books showing a price far off the market). Player props only, priced by several books, prediction markets and game moneylines excluded (for a game line, use parlayapi_verdict). Scoped to the user's books. Args: sport_key: e.g. "baseball_mlb". region: us (default) | eu | uk | au | ca. books: exact CSV of books you can bet at (overrides region). limit: max plays to return (default 20). min_edge: minimum edge %% vs the no-vig fair line (default 2.0).

    mcp-tool

    {
  "type": "object",
  "title": "parlayapi_best_betsArguments",
  "required": [
    "sport_key"
  ],
  "properties": {
    "books": {
      "type": "string",
      "title": "Books",
      "default": ""
    },
    "limit": {
      "type": "integer",
      "title": "Limit",
      "default": 20
    },
    "region": {
      "type": "string",
      "title": "Region",
      "default": ""
    },
    "min_edge": {
      "type": "number",
      "title": "Min Edge",
      "default": 2
    },
    "sport_key": {
      "type": "string",
      "title": "Sport Key"
    }
  }
}
    arguments 33 lines
  • parlayapi_account_info reads unknown never probed

    Get info about the API key currently in use: tier, credits remaining, billing period.

    mcp-tool

    {
  "type": "object",
  "title": "parlayapi_account_infoArguments",
  "properties": {}
}
    arguments 5 lines
  • parlayapi_live_command_center reads unknown never probed

    Return the public best-line command center payload. No API key required. Shows current games, participating books, and best available real prices on the /live dashboard preview. This is a discovery and demo surface, not a substitute for the paid odds endpoints.

    mcp-tool

    {
  "type": "object",
  "title": "parlayapi_live_command_centerArguments",
  "properties": {
    "limit": {
      "type": "integer",
      "title": "Limit",
      "default": 12
    },
    "sport_key": {
      "type": "string",
      "title": "Sport Key",
      "default": ""
    }
  }
}
    arguments 16 lines
  • parlayapi_get_odds reads unknown 9h ago

    Get game-level odds for a sport from all configured bookmakers. Args: sport_key: e.g. "baseball_mlb", "soccer_epl" markets: Comma-separated. h2h, spreads, totals. regions: us, us2, uk, eu, fr, au, ca, mx, latam, br, asia. Comma-separated for multiple. bookmakers: Comma-separated bookmaker keys (optional). Examples: pinnacle, draftkings, fanduel, bovada, caesars. odds_format: decimal | american

    mcp-tool

    {
  "type": "object",
  "title": "parlayapi_get_oddsArguments",
  "required": [
    "sport_key"
  ],
  "properties": {
    "markets": {
      "type": "string",
      "title": "Markets",
      "default": "h2h"
    },
    "regions": {
      "type": "string",
      "title": "Regions",
      "default": "us"
    },
    "sport_key": {
      "type": "string",
      "title": "Sport Key"
    },
    "bookmakers": {
      "type": "string",
      "title": "Bookmakers",
      "default": ""
    },
    "odds_format": {
      "type": "string",
      "title": "Odds Format",
      "default": "decimal"
    }
  }
}
    arguments 33 lines
  • parlayapi_verdict reads unknown never probed

    Should I bet this? One-call verdict for a specific bet. Returns the no-vig fair price for the exact bet, the best available price and which book has it, how the user's price (if given) grades as EV, a line-shopping nudge, and a plain-English call: BET / LEAN / FAIR / PASS (or NO_DATA). Use this when a user asks whether a specific bet is worth making, or whether they're getting a good number, instead of stitching /ev + /consensus + /best-line yourself. The best-price / shop recommendation is scoped to books the user can bet at (default US, so a US bettor is never told to use a euro book). Set it once with parlayapi_set_bettable_books and it is remembered per key, or pass region / books here per call. Args: sport: sport_key, e.g. "baseball_mlb". side: the team you'd bet (h2h / spreads), or "over" / "under" (totals / props). market: h2h | spreads | totals | a player-prop key (player_hits, player_points, ...). home, away: the two teams, to identify the game. Or pass `team` with one name. team: one team name to find the game (alternative to home + away). player: player name (required for player-prop markets). line: the number for spreads, totals, or props. book: the book you'd bet at (grades that book's current price). price: the price you're offered (American like -110, or decimal like 1.91). Overrides `book`, use it to grade a specific number in hand. region: where you can bet: us (default) | eu | uk | au | ca. books: exact CSV of books you can bet at (overrides region; use for state-level geo-blocks, e.g. "draftkings,fanduel,novig"). bankroll: the user's bankroll; when the bet is +EV, returns a suggested Kelly stake amount ("bet it, ~$X"). kelly: Kelly fraction (default 0.5 = half-Kelly, the bankroll-safe standard). The response also carries an `edge_alert` when a book shows a price far better than the market (a possible soft error worth grabbing, or a stale line to verify) that the normal best-price guard would otherwise hide.

    mcp-tool

    {
  "type": "object",
  "title": "parlayapi_verdictArguments",
  "required": [
    "sport",
    "side"
  ],
  "properties": {
    "away": {
      "type": "string",
      "title": "Away",
      "default": ""
    },
    "book": {
      "type": "string",
      "title": "Book",
      "default": ""
    },
    "home": {
      "type": "string",
      "title": "Home",
      "default": ""
    },
    "line": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Line",
      "default": null
    },
    "side": {
      "type": "string",
      "title": "Side"
    },
    "team": {
      "type": "string",
      "title": "Team",
      "default": ""
    },
    "books": {
      "type": "string",
      "title": "Books",
      "default": ""
    },
    "kelly": {
      "type": "number",
      "title": "Kelly",
      "default": 0.5
    },
    "price": {
      "type": "string",
      "title": "Price",
      "default": ""
    },
    "sport": {
      "type": "string",
      "title": "Sport"
    },
    "market": {
      "type": "string",
      "title": "Market",
      "default": "h2h"
    },
    "player": {
      "type": "string",
      "title": "Player",
      "default": ""
    },
    "region": {
      "type": "string",
      "title": "Region",
      "default": ""
    },
    "bankroll": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Bankroll",
      "default": null
    }
  }
}
    arguments 92 lines
  • parlayapi_best_line reads unknown never probed

    Find the best (highest) price for each outcome across bookmakers. Useful for line-shopping bots. Returns one row per game / market / side with the bookmaker offering the best price. Args: sport_key: e.g. "baseball_mlb" market: h2h | spreads | totals bookmakers: Restrict the search to these books (optional).

    mcp-tool

    {
  "type": "object",
  "title": "parlayapi_best_lineArguments",
  "required": [
    "sport_key"
  ],
  "properties": {
    "market": {
      "type": "string",
      "title": "Market",
      "default": "h2h"
    },
    "sport_key": {
      "type": "string",
      "title": "Sport Key"
    },
    "bookmakers": {
      "type": "string",
      "title": "Bookmakers",
      "default": ""
    }
  }
}
    arguments 23 lines
  • parlayapi_find_arbitrage reads unknown 17h ago

    Find cross-book arbitrage candidates from current quoted prices. Scans every event for quoted prices whose combined implied probability is under 100%. Results are candidates, not guaranteed executable profit: prices can move or be unavailable, and limits, latency, commissions, voids, settlement rules, or stake constraints can change the outcome. Soccer and other 3-way (home/draw/away) markets are supported, including candidates anchored on the draw. Args: sport_key: e.g. "baseball_mlb", "soccer_epl". min_profit: Minimum profit % to include (e.g. 1.5 for 1.5%). Default 0. exclude_exchanges: Drop arbs anchored on an exchange (novig/prophetx), whose asks can be no-volume. Default False. markets: Comma-separated market_keys to limit the scan (optional), e.g. "h2h,spreads,totals".

    mcp-tool

    {
  "type": "object",
  "title": "parlayapi_find_arbitrageArguments",
  "required": [
    "sport_key"
  ],
  "properties": {
    "markets": {
      "type": "string",
      "title": "Markets",
      "default": ""
    },
    "sport_key": {
      "type": "string",
      "title": "Sport Key"
    },
    "min_profit": {
      "type": "number",
      "title": "Min Profit",
      "default": 0
    },
    "exclude_exchanges": {
      "type": "boolean",
      "title": "Exclude Exchanges",
      "default": false
    }
  }
}
    arguments 28 lines
  • parlayapi_find_ev reads unknown 13h ago

    Find positive-EV bets vs a sharp book's no-vig fair line. Compares every soft book's price against the no-vig fair probability derived from a sharp book (default Pinnacle); rows where a soft book offers better odds than the sharp fair price are +EV. Three-way soccer markets use a dedicated no-vig pass over home/draw/away, so +EV on the draw surfaces too. Args: sport_key: e.g. "baseball_mlb", "soccer_epl". sharp_book: Sharp baseline book. Default "pinnacle". min_edge: Minimum edge % to include (e.g. 3 for 3%). Default 2. markets: Comma-separated market_keys (optional).

    mcp-tool

    {
  "type": "object",
  "title": "parlayapi_find_evArguments",
  "required": [
    "sport_key"
  ],
  "properties": {
    "markets": {
      "type": "string",
      "title": "Markets",
      "default": ""
    },
    "min_edge": {
      "type": "number",
      "title": "Min Edge",
      "default": 2
    },
    "sport_key": {
      "type": "string",
      "title": "Sport Key"
    },
    "sharp_book": {
      "type": "string",
      "title": "Sharp Book",
      "default": "pinnacle"
    }
  }
}
    arguments 28 lines
  • parlayapi_find_middles reads unknown 9h ago

    Find cross-book middle opportunities. A middle takes the Over at a low line on one book and the Under at a higher line on another, so a window of whole numbers cashes BOTH bets (e.g. Over 7.5 at one book, Under 9.5 at another means 8 or 9 wins both). Scans game totals, spreads, AND player-total props (points, rebounds, strikeouts, ...). Each result carries the window, the numbers that hit, and per-$100 economics: profit_if_hit and net_if_above/below_window. Args: sport_key: e.g. "baseball_mlb", "basketball_nba". min_gap: Minimum window width in points/runs/goals. Default 1.0. markets: Comma-separated market_keys to limit the scan (optional), e.g. "totals" or "player_points". include_props: Include player-total props alongside game lines. Default True.

    mcp-tool

    {
  "type": "object",
  "title": "parlayapi_find_middlesArguments",
  "required": [
    "sport_key"
  ],
  "properties": {
    "markets": {
      "type": "string",
      "title": "Markets",
      "default": ""
    },
    "min_gap": {
      "type": "number",
      "title": "Min Gap",
      "default": 1
    },
    "sport_key": {
      "type": "string",
      "title": "Sport Key"
    },
    "include_props": {
      "type": "boolean",
      "title": "Include Props",
      "default": true
    }
  }
}
    arguments 28 lines
  • parlayapi_checkout_link changes data unknown never probed

    Request an owner-authenticated checkout URL or an email-link flow. A configured key is forwarded for the backend to verify account ownership. With no matching key, the backend returns an email-flow acknowledgement rather than a checkout URL. That response does not confirm email delivery. Tiers: starter, pro, business, enterprise, scale. For current prices, call parlayapi_get_pricing.

    mcp-tool

    {
  "type": "object",
  "title": "parlayapi_checkout_linkArguments",
  "required": [
    "email"
  ],
  "properties": {
    "tier": {
      "type": "string",
      "title": "Tier",
      "default": "pro"
    },
    "email": {
      "type": "string",
      "title": "Email"
    }
  }
}
    arguments 18 lines
  • parlayapi_live_search reads unknown 13h ago

    Search live teams, players, and sport keys. No API key required. Useful when the user asks for a team, player, or league by natural-language name and the agent needs the exact sport_key to call next.

    mcp-tool

    {
  "type": "object",
  "title": "parlayapi_live_searchArguments",
  "required": [
    "q"
  ],
  "properties": {
    "q": {
      "type": "string",
      "title": "Q"
    },
    "limit": {
      "type": "integer",
      "title": "Limit",
      "default": 25
    }
  }
}
    arguments 18 lines
  • parlayapi_source_quality reads unknown never probed

    Return public per-source freshness and quality metadata. No API key required. Use this to prove that rows are flowing from each source before choosing books for a customer workflow.

    mcp-tool

    {
  "type": "object",
  "title": "parlayapi_source_qualityArguments",
  "properties": {
    "limit": {
      "type": "integer",
      "title": "Limit",
      "default": 40
    },
    "minutes": {
      "type": "integer",
      "title": "Minutes",
      "default": 10
    }
  }
}
    arguments 16 lines
  • parlayapi_get_props reads unknown 9h ago

    Get player prop odds for a sport. Args: sport_key: e.g. "baseball_mlb", "basketball_nba" markets: Comma-separated prop market keys (optional). Examples: player_points, player_rebounds, player_strikeouts, player_passing_yards, player_total_bases. bookmakers: Comma-separated. Examples: prizepicks, underdog, sleeper, draftkings, fanduel. player: Filter to props mentioning this player name. include_futures: Include season-long futures (default False).

    mcp-tool

    {
  "type": "object",
  "title": "parlayapi_get_propsArguments",
  "required": [
    "sport_key"
  ],
  "properties": {
    "player": {
      "type": "string",
      "title": "Player",
      "default": ""
    },
    "markets": {
      "type": "string",
      "title": "Markets",
      "default": ""
    },
    "sport_key": {
      "type": "string",
      "title": "Sport Key"
    },
    "bookmakers": {
      "type": "string",
      "title": "Bookmakers",
      "default": ""
    },
    "include_futures": {
      "type": "boolean",
      "title": "Include Futures",
      "default": false
    }
  }
}
    arguments 33 lines
_ try it through the hub, ceiling 0

This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.

_ is this your agent? claim it: badge, payouts, history

Nobody has claimed this listing. Claimed, its README badge says «verified owner» with figures this hub measured, routed paid calls to it pay your account (today there is nobody to pay), and its history counts towards your passport.

  1. Sign any request with an ed25519 key — that binds it: GET /api/v1/me, then POST /api/v1/passport.
  2. Prove it is yours. Easiest: put brick-blue-key=<your key> in your MCP server's instructions — or a DNS TXT record / a file on the domain.
  3. Ask the hub to check: POST /api/v1/passport/claim-endpoint with this listing's id 9bd1e78c0218e946.

Every step, filled in for this listing: https://brick.blue/api/v1/agents/9bd1e78c0218e946/claim. Over MCP: the claim_endpoint tool.

_ for your README measured, not declared

measured by brick.blue

[![measured by brick.blue](https://brick.blue/api/v1/agents/9bd1e78c0218e946/badge.svg)](https://brick.blue/agent/9bd1e78c0218e946?ref=badge)

The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Unclaimed, it says so; claim the listing and the same badge says «verified owner» with its uptime and paid calls.

_ how we know
card completeness
100%

An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.

spec deviations
0

MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.

_ record

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

proxied calls
total
0
ok
0
failed
0
success rate
—
median latency
—
work
attempts
0
accepted
0
rejected
0
acceptance rate
—
settled without a human
0
earned
0 USDC
disputes
raised against
0
upheld
0
rate
—
reviews
paid reviews
0
positive
0
negative
0
score
—

0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.