mcp

Solana memecoin rug check for trading agents: pump.fun launches, calibrated rug risk, wallets, KOL.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
100%
Vollständigkeit des Schemas
87%
Qualität der Benennung
90%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~6,977Tokens (Tool-Definitionen)
~2.0 KBTypische Antwortgröße
Erhebliche Auswirkung auf die Aufmerksamkeit (5.45% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "mcp": {
      "command": "npx",
      "args": [
        "@mindjack/mcp"
      ]
    }
  }
}

Ausführbare Pakete

npm@mindjack/mcp1.4.5stdio

Remote-Endpunkte

https://api.mindjack.xyz/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (26)

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🟢check_token(mint)

[$0.001] Is this Solana token dangerous? A calibrated rug verdict whose probability is a MEASURED frequency (see get_scorecard), the concentration facts behind it, and how fast this band tends to collapse. Cheapest call, run it on every token; it decides whether inspect_token, token_identity or token_report is worth paying for. Does not name holders.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "mint": {
      "description": "Solana token mint, base58.",
      "type": "string"
    }
  },
  "required": [
    "mint"
  ],
  "examples": [
    {
      "mint": "6acH1iae44zL4haWNNCaqcTqS2Q7KNYsWErxCoLW9u9P"
    }
  ]
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "_meta": {
      "type": "object"
    },
    "facts": {
      "description": "Counts AND the share of supply behind each: snipers, insiders, fresh wallets, wallet groups,...",
      "type": "object"
    },
    "mint": {
      "description": "Solana token mint address (base58).",
      "type": "string"
    },
    "name": {
      "type": "string"
    },
    "rug_risk": {
      "type": "object"
    },
    "safety": {
      "description": "Mint/freeze authority, LP and timelock state. Reports unknown as unknown, never as zero.",
      "type": "object"
    },
    "symbol": {
      "type": "string"
    }
  }
}
🟢inspect_token(mint)

[$0.005] Who is involved: top holders and supply, the sniper / fresh-wallet / insider / early-buyer split, connected-group topology, tracked-trader activity. Counts and structure only: token_wallets names them, token_graph draws the edges, token_web follows them to earlier launches.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "mint": {
      "description": "Solana token mint, base58.",
      "type": "string"
    }
  },
  "required": [
    "mint"
  ],
  "examples": [
    {
      "mint": "6acH1iae44zL4haWNNCaqcTqS2Q7KNYsWErxCoLW9u9P"
    }
  ]
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "_meta": {
      "type": "object"
    },
    "activity": {
      "description": "transactions analysed and fee cost.",
      "type": "object"
    },
    "groups": {
      "type": "object"
    },
    "holder_wealth": {
      "description": "top-50 SOL distribution; a median near zero is a launch distributed to nobody.",
      "type": "object"
    },
    "mint": {
      "description": "Solana token mint address (base58).",
      "type": "string"
    },
    "top_holders": {
      "description": "rank, wallet, supply_pct, is_whale, is_notable.",
      "type": "array"
    },
    "tracked_traders": {
      "description": "Activity from traders we follow by name.",
      "type": "object"
    },
    "trading_patterns": {
      "description": "scalp score and wash-trading share.",
      "type": "object"
    },
    "wallet_classes": {
      "description": "snipers, insiders, fresh_wallets, early_buyers.",
      "type": "object"
    }
  }
}
🟢token_report(depth, mint)

[$0.025] check_token + inspect_token + token_identity in one call. depth="full" ($0.07) adds the outcome path, live sellability and the wallet graph. Cheaper than the parts; use once a token is worth a real look. `fetch` is this call under the name ChatGPT requires.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "depth": {
      "description": "core: verdict, holders, identity. full adds graph, price path, sellability.",
      "enum": [
        "core",
        "full"
      ],
      "type": "string"
    },
    "mint": {
      "description": "Solana token mint, base58.",
      "type": "string"
    }
  },
  "required": [
    "mint"
  ],
  "examples": [
    {
      "depth": "full",
      "mint": "6acH1iae44zL4haWNNCaqcTqS2Q7KNYsWErxCoLW9u9P"
    }
  ]
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "_meta": {
      "type": "object"
    },
    "depth": {
      "description": "Which tiers are included.",
      "enum": [
        "core",
        "full"
      ],
      "type": "string"
    },
    "identity": {
      "description": "The full body of the endpoint it names, exactly as that endpoint returns it.",
      "type": "object"
    },
    "inspect": {
      "description": "The full body of the endpoint it names, exactly as that endpoint returns it.",
      "type": "object"
    },
    "mint": {
      "description": "The token this describes.",
      "type": "string"
    },
    "says": {
      "description": "The finding in one plain sentence, safe to quote.",
      "type": "string"
    },
    "screen": {
      "description": "The full body of the endpoint it names, exactly as that endpoint returns it.",
      "type": "object"
    }
  }
}
🟢token_identity(mint)

[$0.025] Who is BEHIND this token: what its largest holders did in earlier launches, which sibling tokens the same wallets ran and how those ended, and the measured upside band. The decision-point call. Coverage is reported per call; an empty result is free.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "mint": {
      "description": "Solana token mint, base58.",
      "type": "string"
    }
  },
  "required": [
    "mint"
  ],
  "examples": [
    {
      "mint": "6acH1iae44zL4haWNNCaqcTqS2Q7KNYsWErxCoLW9u9P"
    }
  ]
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "_meta": {
      "type": "object"
    },
    "creator": {
      "description": "address, allocation_pct, has_sold.",
      "type": "object"
    },
    "identity": {
      "description": "holders_checked, holders_with_history (a COUNT), coverage_pct, prior_appearances,...",
      "type": "object"
    },
    "mint": {
      "description": "Solana token mint address (base58).",
      "type": "string"
    },
    "sibling_outcomes": {
      "description": "known vs rugged among the siblings.",
      "type": "object"
    },
    "sibling_tokens": {
      "description": "Earlier tokens these wallets ran: mint, seen_at, shared_wallets, rugged.",
      "type": "array"
    },
    "upside": {
      "description": "Measured 2x/5x rate for tokens whose holders carried this much winning history, against...",
      "type": "object"
    }
  }
}
🟢find_tokens(hours, limit, min_mcap, platform)

[$0.005] Recently analysed tokens, each already carrying a verdict, to rank locally before paying for depth. Filters: hours (1-168), min_mcap, platform, limit (1-100). A time-ordered feed with no query; to find a token you know by name or mint, use search_tokens.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "hours": {
      "description": "Hours back, 1-168. Default 24.",
      "type": "integer"
    },
    "limit": {
      "description": "Rows, 1-100. Default 25.",
      "type": "integer"
    },
    "min_mcap": {
      "description": "Minimum market cap, USD.",
      "type": "number"
    },
    "platform": {
      "description": "Launchpad, e.g. pumpfun or letsbonk.",
      "type": "string"
    }
  },
  "examples": [
    {
      "hours": 6,
      "min_mcap": 50000
    }
  ]
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "_meta": {
      "type": "object"
    },
    "count": {
      "type": "integer"
    },
    "filters": {
      "description": "The filters actually applied, echoed back — a caller should not have to guess whether a...",
      "type": "object"
    },
    "says": {
      "description": "The finding in one plain sentence, safe to quote.",
      "type": "string"
    },
    "tokens": {
      "type": "array"
    }
  }
}
🟢check_wallet(address)

[$0.006] One wallet across every token we indexed: launches it appeared in, how many ran, roles it recurs in, realised record. Works for any address. kol_record is the per-trade history of tracked KOLs; wallet_network is who this wallet moves with.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "address": {
      "description": "Solana wallet, base58.",
      "type": "string"
    }
  },
  "required": [
    "address"
  ],
  "examples": [
    {
      "address": "bwamJzztZsepfkteWRChggmXuiiCQvpLqPietdNfSXa"
    }
  ]
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "_meta": {
      "type": "object"
    },
    "history": {
      "description": "Appearances, roles it recurs in, and its realised record across the index.",
      "type": "object"
    },
    "known": {
      "description": "False when we have never seen this wallet in an indexed token. Never billed.",
      "type": "boolean"
    },
    "says": {
      "description": "The finding in one plain sentence, safe to quote.",
      "type": "string"
    },
    "trading": {
      "type": "object"
    },
    "wallet": {
      "description": "Solana wallet address (base58).",
      "type": "string"
    }
  }
}
🟢can_i_exit(mint)

[$0.005] Can this token be sold RIGHT NOW, and what does a round trip cost: real Jupiter buy and sell routes at $100 and $1000, and the fraction of your money that survives. Verdict follows the worst rung: clear / elevated / thin / trapped / blocked. Quotes only, nothing is signed; not cached, takes a few hundred ms.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "mint": {
      "description": "Solana token mint, base58.",
      "type": "string"
    }
  },
  "required": [
    "mint"
  ],
  "examples": [
    {
      "mint": "6acH1iae44zL4haWNNCaqcTqS2Q7KNYsWErxCoLW9u9P"
    }
  ]
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "_meta": {
      "type": "object"
    },
    "checked_at_sol_usd": {
      "description": "SOL price used to size the ladder, so a dollar rung can be reproduced later.",
      "type": "number"
    },
    "exit": {
      "description": "verdict (clear/elevated/thin/trapped/blocked), action, worst_retained_pct, and a ladder of...",
      "type": "object"
    },
    "method": {
      "description": "How the answer was obtained, and what it cannot see. Quotes only — nothing is signed.",
      "type": "string"
    },
    "mint": {
      "description": "Solana token mint address (base58).",
      "type": "string"
    },
    "says": {
      "description": "The finding in one plain sentence, safe to quote.",
      "type": "string"
    }
  }
}
🟢token_changes(mint)

[$0.025] Who sold since we analysed it: reads the chain now and diffs the large positions against what we recorded. Use when a cached read feels stale or to see whether concentrated wallets are exiting. The only call that touches the chain live.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "mint": {
      "description": "Solana token mint, base58.",
      "type": "string"
    }
  },
  "required": [
    "mint"
  ],
  "examples": [
    {
      "mint": "6acH1iae44zL4haWNNCaqcTqS2Q7KNYsWErxCoLW9u9P"
    }
  ]
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "_meta": {
      "type": "object"
    },
    "changes": {
      "description": "Movement against the baseline: who left, who grew, and the supply behind it.",
      "type": "object"
    },
    "mint": {
      "description": "Solana token mint address (base58).",
      "type": "string"
    },
    "ready": {
      "description": "False when we hold no holder baseline for this token; nothing is charged in that case.",
      "type": "boolean"
    },
    "says": {
      "description": "The finding in one plain sentence, safe to quote.",
      "type": "string"
    }
  }
}
🟢token_price_path(mint)

[$0.005] What the token did after we called it: peak, drawdown from peak, and where it stands now, at 4-5 second resolution. Our feed starts at analysis; the bonding-curve phase before that is not included.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "mint": {
      "description": "Solana token mint, base58.",
      "type": "string"
    }
  },
  "required": [
    "mint"
  ],
  "examples": [
    {
      "mint": "6acH1iae44zL4haWNNCaqcTqS2Q7KNYsWErxCoLW9u9P"
    }
  ]
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "_meta": {
      "type": "object"
    },
    "coverage_note": {
      "description": "Where our feed starts, so the path is not mistaken for the token's whole life.",
      "type": "string"
    },
    "mint": {
      "description": "Solana token mint address (base58).",
      "type": "string"
    },
    "path": {
      "description": "analysed_at, first/last tick, tick count, market cap at analysis / latest / peak / trough,...",
      "type": "object"
    },
    "says": {
      "description": "The finding in one plain sentence, safe to quote.",
      "type": "string"
    }
  }
}
🟢find_serial_insiders(limit, min_tokens)

[$0.025 per 25] Wallets that keep turning up as insiders across the whole index. Each row carries the wallet's full footprint, because ranking on insider count alone puts bots on top (the highest is flagged in 1,642 tokens and holds 4,091). Read insider_in against also_held: close is a real serial insider, far apart is a bot.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "limit": {
      "description": "Rows, 1-100. Default 25.",
      "type": "integer"
    },
    "min_tokens": {
      "description": "Minimum tokens flagged in. Default 3.",
      "type": "integer"
    }
  },
  "examples": [
    {
      "limit": 50,
      "min_tokens": 8
    }
  ]
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "_meta": {
      "type": "object"
    },
    "count": {
      "type": "integer"
    },
    "filters": {
      "type": "object"
    },
    "says": {
      "description": "The finding in one plain sentence, safe to quote.",
      "type": "string"
    },
    "wallets": {
      "description": "wallet, insider_in, also_held, early_investor_in, avg_supply_pct, realized_sol,...",
      "type": "array"
    }
  }
}
🟢compare_tokens(mints)

[$0.025] Were these tokens run by the same people? Give 2-4 mints and get the wallets appearing in more than one, each with the role it played in each. Weigh the roles rather than the count: shared holders are common, a wallet that was an insider in one and a sniper in the next is not. Mints outside our index come back named in not_covered.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "mints": {
      "description": "Two to four mints to compare.",
      "items": {
        "description": "Solana token mint, base58.",
        "type": "string"
      },
      "type": "array"
    }
  },
  "required": [
    "mints"
  ],
  "examples": [
    {
      "mints": [
        "6acH1iae44zL4haWNNCaqcTqS2Q7KNYsWErxCoLW9u9P",
        "CuPKnZJ6ut7WR5XGjdZtvLQQJpewHNPTuRyXvC8ThXEq"
      ]
    }
  ]
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "_meta": {
      "type": "object"
    },
    "compared": {
      "type": "array"
    },
    "count": {
      "type": "integer"
    },
    "in_all": {
      "type": "integer"
    },
    "not_covered": {
      "description": "mints we do not hold; the rest is still answered, as coverage 'partial'.",
      "type": "array"
    },
    "says": {
      "description": "The finding in one plain sentence, safe to quote.",
      "type": "string"
    },
    "shared": {
      "description": "wallet, in_tokens, mints, roles (holder / insider / early / sniper).",
      "type": "array"
    }
  }
}
🟢test_hypothesis(filters, window_days)

[$0.025] Measure what happened to every indexed launch matching your filters: rug rate against the index base rate, peak-gain percentiles, time to peak, collapse speed. Answers pattern questions like 'do launches with under 200 holders die faster?'; to shortlist live tokens to act on, use find_tokens instead. filters is {field: {min,max}} over numeric fields listed by get_coverage, e.g. {total_holders: {min: 200}}. Returns cohort aggregates and a one-sentence finding, never per-token rows. Read-only over stored history; measured past, not a forecast.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "filters": {
      "description": "Field bounds as {min,max}; get_coverage lists the fields.",
      "type": "object"
    },
    "window_days": {
      "description": "Cohort window, days. Default 30.",
      "type": "integer"
    }
  },
  "required": [
    "filters"
  ],
  "examples": [
    {
      "filters": {
        "total_holders": {
          "min": 200
        }
      },
      "window_days": 30
    }
  ]
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "_meta": {
      "type": "object"
    },
    "cohort": {
      "description": "n, rug_pct, base_rate_pct, rug_lift_vs_base, median_peak_gain_pct, p75/p90_peak_gain_pct,...",
      "type": "object"
    },
    "disclaimer": {
      "description": "Measured history, not a forecast, and not adjusted for slippage or fees.",
      "type": "string"
    },
    "filters": {
      "description": "The filters applied, echoed back.",
      "type": "object"
    },
    "says": {
      "description": "The finding in one plain sentence, safe to quote.",
      "type": "string"
    },
    "window_days": {
      "type": "integer"
    }
  }
}
🟢get_scorecard

[free] Our measured hit rate per risk band, and how fast each band tends to collapse. Read this to decide how much weight to give our verdicts. Most risk APIs ask you to trust a score; this one shows how it performed.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "examples": [
    {}
  ]
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "_meta": {
      "type": "object"
    },
    "bands": {
      "type": "array"
    },
    "base_rate_pct": {
      "type": "number"
    },
    "calibrated_at": {
      "type": "string"
    },
    "says": {
      "type": "string"
    },
    "window_days": {
      "type": "number"
    }
  }
}
🟢get_sample

[free, no key] One fixed token answered in full: the complete check_token, inspect_token and token_identity responses, each carrying the price that call costs. Served by the same handlers as the paid tools, so it is what you would actually get. Use get_coverage for freshness, this for depth.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "examples": [
    {}
  ]
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "_meta": {
      "type": "object"
    },
    "identity": {
      "type": "object"
    },
    "inspect": {
      "type": "object"
    },
    "mint": {
      "type": "string"
    },
    "next": {
      "type": "array"
    },
    "not_shown": {
      "type": "object"
    },
    "says": {
      "type": "string"
    },
    "screen": {
      "type": "object"
    }
  }
}
🟢token_graph(mint)

[$0.04] The wallet relationship graph behind a token: edges with strength and confidence, cluster membership and role, wash-trading wallets. token_wallets names the holders; this shows how they are CONNECTED and whether a distributed-looking set is one person. Not a first look.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "mint": {
      "description": "Solana token mint, base58.",
      "type": "string"
    }
  },
  "required": [
    "mint"
  ],
  "examples": [
    {
      "mint": "6acH1iae44zL4haWNNCaqcTqS2Q7KNYsWErxCoLW9u9P"
    }
  ]
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "_meta": {
      "type": "object"
    },
    "edges": {
      "description": "wallet_a/wallet_b ties with strength and confidence.",
      "type": "array"
    },
    "edges_total": {
      "description": "True edge count; compare against the returned array to detect truncation.",
      "type": "integer"
    },
    "members": {
      "description": "Which wallet sits in which cluster, and its role.",
      "type": "array"
    },
    "members_total": {
      "type": "integer"
    },
    "mint": {
      "description": "Solana token mint address (base58).",
      "type": "string"
    },
    "says": {
      "description": "The finding in one plain sentence, safe to quote.",
      "type": "string"
    },
    "wash_wallets": {
      "type": "array"
    }
  }
}
🟢token_wallets(mint)

[$0.005] The NAMED wallets behind one token: insiders, snipers, early buyers, fresh wallets, wash traders and tracked KOLs, each with funder (exchanges named), link count and cluster. Lists cap at 100 per class; *_total fields carry real counts. inspect_token gives counts, this gives addresses.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "mint": {
      "description": "Solana token mint, base58.",
      "type": "string"
    }
  },
  "required": [
    "mint"
  ],
  "examples": [
    {
      "mint": "6acH1iae44zL4haWNNCaqcTqS2Q7KNYsWErxCoLW9u9P"
    }
  ]
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "_meta": {
      "type": "object"
    },
    "early_investors": {
      "description": "Addresses with funding source, cluster membership and flags. Capped at 100; the matching...",
      "type": "array"
    },
    "early_total": {
      "type": "integer"
    },
    "fresh_total": {
      "type": "integer"
    },
    "fresh_wallets": {
      "description": "Addresses with funding source, cluster membership and flags. Capped at 100; the matching...",
      "type": "array"
    },
    "insiders": {
      "description": "Addresses with funding source, cluster membership and flags. Capped at 100; the matching...",
      "type": "array"
    },
    "insiders_total": {
      "type": "integer"
    },
    "kols": {
      "description": "Addresses with funding source, cluster membership and flags. Capped at 100; the matching...",
      "type": "array"
    },
    "kols_total": {
      "type": "integer"
    },
    "mint": {
      "type": "string"
    },
    "says": {
      "description": "The finding in one plain sentence, safe to quote.",
      "type": "string"
    },
    "scalpers": {
      "description": "Addresses with funding source, cluster membership and flags. Capped at 100; the matching...",
      "type": "array"
    },
    "snipers": {
      "description": "Addresses with funding source, cluster membership and flags. Capped at 100; the matching...",
      "type": "array"
    },
    "snipers_total": {
      "type": "integer"
    },
    "wash_total": {
      "type": "integer"
    },
    "wash_wallets": {
      "description": "Addresses with funding source, cluster membership and flags. Capped at 100; the matching...",
      "type": "array"
    }
  }
}
🟢token_web(min_shared, mint)

[$0.04] Earlier launches tied to this token through shared wallets, with the wallets themselves, each launch's outcome and its highest recorded market cap. Use when token_identity reported shared wallets and you need WHICH launches. token_graph stays inside one token; this crosses tokens.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "min_shared": {
      "description": "Minimum shared wallets. Default 3.",
      "type": "integer"
    },
    "mint": {
      "description": "Solana token mint, base58.",
      "type": "string"
    }
  },
  "required": [
    "mint"
  ],
  "examples": [
    {
      "min_shared": 5,
      "mint": "6acH1iae44zL4haWNNCaqcTqS2Q7KNYsWErxCoLW9u9P"
    }
  ]
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "_meta": {
      "type": "object"
    },
    "common_wallets": {
      "description": "The shared wallets themselves, with which launches each ties.",
      "type": "array"
    },
    "mint": {
      "type": "string"
    },
    "says": {
      "description": "The finding in one plain sentence, safe to quote.",
      "type": "string"
    },
    "tokens": {
      "description": "Launches sharing wallets with this one: mint, shared wallet count, outcome and the highest...",
      "type": "array"
    },
    "web_wallet_pool": {
      "description": "Wallets considered when building the web.",
      "type": "integer"
    }
  }
}
🟢wallet_network(address)

[$0.025] Who one wallet is wired to across the index: direct counterparts with interaction counts, shared tokens, transfer direction where the chain shows it, plus a bounded second hop. check_wallet says what it DID; this says who it MOVES WITH.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "address": {
      "description": "Solana wallet, base58.",
      "type": "string"
    }
  },
  "required": [
    "address"
  ],
  "examples": [
    {
      "address": "bwamJzztZsepfkteWRChggmXuiiCQvpLqPietdNfSXa"
    }
  ]
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "_meta": {
      "type": "object"
    },
    "direct": {
      "description": "Counterparts, each with the wallet, interaction count, shared tokens and transfer direction...",
      "type": "array"
    },
    "direct_total": {
      "description": "Counterparts found, before the cap.",
      "type": "integer"
    },
    "edge_total": {
      "description": "Edges behind both rings.",
      "type": "integer"
    },
    "says": {
      "description": "The finding in one plain sentence, safe to quote.",
      "type": "string"
    },
    "second_hop": {
      "description": "A bounded second ring, reached through the direct counterparts.",
      "type": "array"
    },
    "wallet": {
      "description": "The wallet asked about.",
      "type": "string"
    }
  }
}
🟢kol_leaderboard(days, limit, sort)

[$0.02/page] Every tracked KOL wallet, ranked from the recorded trades: lifetime realized SOL, per-token win rate on NET realized SOL, and a recent-activity window. Sort by profit, success or activity. Use to build or refresh a copy-trading watchlist.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "days": {
      "description": "Recent window, 1-90 days. Default 7.",
      "type": "integer"
    },
    "limit": {
      "description": "Rows, 1-100. Default 25.",
      "type": "integer"
    },
    "sort": {
      "description": "profit: realised SOL. success: win rate. activity: recent trades.",
      "enum": [
        "profit",
        "success",
        "activity"
      ],
      "type": "string"
    }
  },
  "examples": [
    {
      "days": 30,
      "sort": "success"
    }
  ]
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "_meta": {
      "type": "object"
    },
    "count": {
      "type": "integer"
    },
    "filters": {
      "type": "object"
    },
    "kols": {
      "description": "wallet, name, handle, verified, followers, lifetime {trades, volume_sol, realized_sol,...",
      "type": "array"
    },
    "says": {
      "description": "The finding in one plain sentence, safe to quote.",
      "type": "string"
    }
  }
}
🟢kol_record(address)

[$0.02] One tracked KOL in depth: lifetime stats, per-token history from every recorded trade (buys, sells, volume, realized SOL) and the latest trades raw. Untracked addresses answer null and cost nothing; check_wallet covers any wallet.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "address": {
      "description": "Solana wallet, base58.",
      "type": "string"
    }
  },
  "required": [
    "address"
  ],
  "examples": [
    {
      "address": "CyaE1VxvBrahnPWkqm5VsdCvyS2QmNht2UFrKJHga54o"
    }
  ]
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "_meta": {
      "type": "object"
    },
    "kol": {
      "description": "Identity and lifetime stats. Null when the address is not a tracked KOL; nothing is charged...",
      "type": "object"
    },
    "recent_trades": {
      "description": "Latest trades: side, sol, realized_sol, roi_pct, entry_mcap, timestamp.",
      "type": "array"
    },
    "tokens": {
      "description": "Per-token rollup: mint, symbol, buys, sells, volume_sol, realized_sol, first and last trade...",
      "type": "array"
    }
  }
}
🟢funder_networks(limit, min_wallets)

[$0.025/page] Funders ranked by how many fresh wallets they seeded across the whole index, each labelled when we know the exchange behind it. A funder inside one token is a line item; across the index it is a desk. A null label with a high count is the shape worth opening.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "limit": {
      "description": "Rows, 1-100. Default 25.",
      "type": "integer"
    },
    "min_wallets": {
      "description": "Minimum wallets seeded. Default 3.",
      "type": "integer"
    }
  },
  "examples": [
    {
      "min_wallets": 20
    }
  ]
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "_meta": {
      "type": "object"
    },
    "count": {
      "type": "integer"
    },
    "filters": {
      "type": "object"
    },
    "funders": {
      "description": "funder, funder_known (exchange name when we know the address, else null), wallets_funded,...",
      "type": "array"
    },
    "says": {
      "description": "The finding in one plain sentence, safe to quote.",
      "type": "string"
    }
  }
}
🟢search_tokens(days, limit, min_mcap, offset, platform, ...)

[$0.005/page] Find a token in the analysed catalogue by symbol, name fragment or exact mint, with platform, size and age filters. find_tokens lists what just migrated; this finds the one you mean. `search` is the same call in the shape ChatGPT requires.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "days": {
      "description": "Analysed within this many days.",
      "type": "integer"
    },
    "limit": {
      "description": "Rows, 1-100. Default 25.",
      "type": "integer"
    },
    "min_mcap": {
      "description": "Minimum market cap, USD.",
      "type": "number"
    },
    "offset": {
      "description": "Rows to skip. Default 0.",
      "type": "integer"
    },
    "platform": {
      "description": "Launchpad, e.g. pumpfun or letsbonk.",
      "type": "string"
    },
    "q": {
      "description": "Symbol, name fragment, or exact mint.",
      "type": "string"
    }
  },
  "examples": [
    {
      "days": 7,
      "q": "bonk"
    }
  ]
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "_meta": {
      "type": "object"
    },
    "count": {
      "type": "integer"
    },
    "query": {
      "type": "object"
    },
    "says": {
      "description": "The finding in one plain sentence, safe to quote.",
      "type": "string"
    },
    "tokens": {
      "description": "mint, symbol, name, analyzed_at, mcap_at_analysis, platform, holders, insiders, snipers,...",
      "type": "array"
    }
  }
}
🟢search(limit, query)

[$0.005/page] ChatGPT entry point: the same catalogue search as search_tokens (same endpoint and price) returning {id, title, url} rows, each id a Solana mint for `fetch`. ChatGPT connects to nothing without this exact name; other clients should call search_tokens.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "limit": {
      "description": "Rows, 1-100. Default 25.",
      "type": "integer"
    },
    "query": {
      "description": "Symbol, name fragment, or an exact mint address.",
      "type": "string"
    }
  },
  "required": [
    "query"
  ],
  "examples": [
    {
      "query": "bonk"
    }
  ]
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "_meta": {
      "description": "coverage, billing and price_usd for this call.",
      "type": "object"
    },
    "count": {
      "type": "number"
    },
    "results": {
      "description": "Rows of {id, title, url}. id is the mint; pass it to fetch.",
      "type": "array"
    },
    "says": {
      "type": "string"
    }
  }
}
🟢fetch(id)

[$0.025] ChatGPT entry point: everything we hold on one token as one document: the calibrated verdict with its measured hit rate, who holds it and how they connect, and whether it can still be sold. Takes an id from `search`. Same endpoint and price as token_report, which other clients should call.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "id": {
      "description": "A Solana mint address, usually from `search`.",
      "type": "string"
    }
  },
  "required": [
    "id"
  ],
  "examples": [
    {
      "id": "6acH1iae44zL4haWNNCaqcTqS2Q7KNYsWErxCoLW9u9P"
    }
  ]
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "id": {
      "description": "The mint this document is about.",
      "type": "string"
    },
    "metadata": {
      "type": "object"
    },
    "text": {
      "description": "The full report as JSON text.",
      "type": "string"
    },
    "title": {
      "type": "string"
    },
    "url": {
      "description": "Public page for the token, or null if the id was not an address.",
      "type": "string"
    }
  }
}
🟢get_coverage

[free] What we hold and how fresh, plus a live example mint guaranteed to have data. Call this first: we index every pump.fun and letsbonk migration since our start date, so an older token you already know will return nothing.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "examples": [
    {}
  ]
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "_meta": {
      "type": "object"
    },
    "history_from": {
      "type": "string"
    },
    "index": {
      "type": "object"
    },
    "not_covered": {
      "type": "object"
    },
    "platforms": {
      "type": "array"
    },
    "pricing": {
      "type": "object"
    },
    "start_here": {
      "type": "object"
    },
    "stats": {
      "type": "object"
    },
    "universe": {
      "type": "string"
    }
  }
}
🟢get_balance

[free] Credits remaining on your key. There is no free allowance: a new key starts at zero and is funded with a USDC deposit, so a balance of 0 means the paid tools will answer 402 until you top up.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "examples": [
    {}
  ]
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "credit_balance": {
      "description": "Credits left. A new key starts at 0.",
      "type": "number"
    },
    "free_remaining": {
      "type": "number"
    },
    "key_prefix": {
      "type": "string"
    },
    "plan": {
      "type": "string"
    },
    "plan_credits_per_month": {
      "type": "number"
    },
    "plan_expires_at": {
      "type": "number"
    }
  }
}

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