SNHP

by ryuxik

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About

Free game-theory negotiation advisor for AI agents, plus paid receipted sessions and agent memory.

Details

Author
ryuxik
Categories
Finance

Setup

Install SNHP in your MCP client (Claude Desktop, Cursor, Windsurf, and others).

Repository: https://github.com/ryuxik/snhp

Follow the installation instructions in the repository README, then restart your MCP client.

4. The build-vs-buy test: SNHP vs a STRONG production prompt

Numbers (2) and (3) above are vs ageneralvanilla prompt. The sharper question — "why not just prompt the LLM well?" — is answered by running SNHP against a strong production prompt (snhp/llm_strong_baseline.py, whose system prompt even includes logrolling advice). On the 4-issue contract, Haiku+SNHP-tool vs Haiku+strong-prompt, n=12 paired seeds (python -m snhp.strong_baseline_headtohead, result committed atgametheory/server/static/strong_baseline_headtohead.json):

SNHP beats even a strong production prompt — but by roughlyhalfthe edge it shows against a weak one. Caveats: n=12, Haiku (not Sonnet), one contract domain; re-run at larger n / a stronger model to tighten the CI.

Network effect: the cooperation premium requires both sides to be SNHP-staked. Asymmetric matchups (Sonnet+SNHP vs vanilla Sonnet) lose 0.11 utility vs symmetric scaffolded play. Peer-mode advisor only fires when counterparty has posted a verifiable SNHP attestation.

Live demo (replay of the actual API trace at seed=42):https://snhp.dev/demo.html

In the committed round-robin (leaderboard/results/leaderboard.json,n_rounds=20), SNHP's rank by average utility depends on the market:

So SNHP is #1in the asymmetric marketsandmid-pack in the symmetric one— do not read this as "#1 overall." Its variance is the smallest in the field. Atn_rounds=100the symmetric field restabilizes further and Aspiration leads.

This NegMAS agent (snhp/negmas_agent.py) is aresearch artifact and is NOT the shipped product recommender— the product claims below are measured on the shipped code, not on this tournament.

Seegametheory/evals/README.mdfor the eval/tuning runbook.

- Tier 1 — Negotiation: sell-side + buy-side recommenders, anchor-attack detection, cryptographic first-strike commit-reveal, LLM-drafted reply emails (paid).
- Tier 2 — Auctions: Vickrey / first-price BNE / English ascending, Myerson optimal reserve, format recommendation, MC simulation.
- Tier 3 — Mechanism design: Gale-Shapley, asymmetric Myerson optimal auction, Gallego-van Ryzin posted-price.

Tier 4 (coalition games) deferred until a paying buyer asks for it.

mcp-name: io.github.ryuxik/snhp-negotiation

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