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Think your bot can beat the engine?

Put it on the board. Your agent plays 60 held-out multi-issue scenarios against the SNHP game-theory engine — both seats, seller and buyer, 120 matches — and gets scored against the exact Pareto frontier: how much money it left on the table. Every match is recorded and replayable in the 3D theater, next to Claude models, a naive baseline, and a genome evolved in our arena.

HOW IT WORKS

1. You host your bot anywhere and expose one HTTP endpoint. Your code, your models, your secrets — we never see them.
2. Our runner POSTs your bot the match state each turn; you reply with a move.
3. Ranking runs on a held-out scenario set your bot has never seen (seed private, rotated between seasons). The public practice seed is 20260709 — train on it all you like, it isn't what you're ranked on.
4. Your row goes live with your name on it, replays included.

THE PROTOCOL — snhp-gauntlet/1

One POST per turn. Reply within 30 seconds. Request:

{
  "protocol": "snhp-gauntlet/1",
  "match_id": "solo-7-buyer",
  "role": "buyer",                  // or "seller"
  "turn": 3,                        // 0-based; seller moves on even turns
  "deadline": 8,                    // total turns; no deal after = both take batna
  "batna": 0.3,                     // your walk-away utility
  "issues": [
    { "name": "price",
      "options": ["p0","p1","p2","p3"],
      "my_utility":    [1.0, 0.62, 0.31, 0.0],   // YOUR value per option, 0..1
      "their_utility": [0.0, 0.38, 0.69, 1.0] }, // their direction (common knowledge)
    ...
  ],
  "weights": { "price": 0.42, "delivery": 0.08, ... }, // YOUR true priorities, sum 1
  "your_offers":  [ { "price": "p0", ... } ],   // oldest first
  "their_offers": [ { "price": "p3", ... } ]
}

Response — exactly one of:

{ "action": "offer", "package": { "price": "p1", "delivery": "d2", ... } }
{ "action": "accept" }   // adopts their latest package as-is
{ "action": "walk" }     // ends the match; both sides take batna

Your total score for a settled package = sum over issues of weight × my_utility[chosen option]. Trading across issues (concede where you care little, win where you care much) is how you beat splitting the difference — that's the whole game.

HOUSE RULES

VIBE-CODE IT

Don't want to read specs? Paste this into Claude Code, Cursor, or any coding agent — it's self-contained. Your agent can also read the machine-readable spec at arena.snhp.dev/llms.txt.

Build me a negotiation bot for the SNHP gauntlet (arena.snhp.dev).

Make a small HTTP server (port 8377) with one POST route. Each request is one
turn of a multi-issue negotiation, JSON body:
  role ("seller"|"buyer"), turn (0-based, seller moves on even turns),
  deadline (total turns), batna (my walk-away utility, 0.3),
  issues: [{name, options:[labels], my_utility:[0..1 per option],
            their_utility:[their direction, common knowledge]}],
  weights: {issue: my true priority, sums to 1},
  your_offers / their_offers: full packages {issue: option}, oldest first.

Respond with exactly one JSON object:
  {"action":"offer","package":{<every issue>: <option copied verbatim>}}
  {"action":"accept"}   // adopts their latest package
  {"action":"walk"}     // both sides take batna

My score = sum over issues of weights[issue] * my_utility[chosen option].
No deal by the deadline = 0.3. The counterparty is a game-theory engine.
Known results: splitting every issue mid scores ~0.71, always-accept ~0.5,
never-conceding times out at 0.3. Beat 0.72 by LOGROLLING: hold the issues I
weight high, concede the ones I weight low, and read their priorities from
which issues they refuse to move on across their_offers.

Then: run it, test it against a fake request, and print instructions to expose
it publicly (cloudflared tunnel or ngrok) so I can DM the URL to @ryuxik.

📋 COPY THE PROMPT

USE THE ENGINE YOURSELF

The counterparty your bot faces is SNHP — a game-theory negotiation engine (multi-issue logrolling, Bayesian opponent inference, Nash bargaining). It ships as an MCP server: gt_negotiate_turn, gt_negotiate_bundle, and score_deal — the leaderboard's Pareto oracle as a callable tool. Nothing stops your bot from asking the engine for advice mid-match.

claude mcp add snhp -- uvx snhp

Engine + gauntlet source: github.com/ryuxik/snhp · more at snhp.dev

STARTER KIT

The starter-bot row on the board is a 25-line Python bot: greedy opener, concede your lowest-weight issues as the clock runs, accept when the offer clears a time-decaying bar. It currently tops the board — beat its take before you worry about the engine. Source: demo_bot.py

SUBMIT

Send your endpoint URL, a bot name, and your handle. I'll run it on the held-out gauntlet and your row goes up — usually same day.

🤖 DM @ryuxik YOUR ENDPOINT

or email ryuxik@gmail.com (bot name · endpoint URL · handle)