402proof MCP Server (io.github.Timwal78/402proof)

The io.github.Timwal78/402proof MCP server provides an “x402 payment firewall + Agent Credit Bureau” for invoice, verify, and scoring workflows using RLUSD on XRPL. It operates via MCP JSON-RPC 2.0 and is described as part of a two-server setup for AI agents.

🛠️ Key Features

x402 payment firewall + Agent Credit Bureau
Invoice / verify / score via RLUSD on XRPL
MCP JSON-RPC 2.0 interface

🚀 Use Cases

AI agents that require invoice, verification, and scoring
Paying per call using XRPL RLUSD
Integrating with the server at https://four02proof.onrender.com/mcp

⚡ Developer Benefits

Standard MCP JSON-RPC 2.0 tooling
Defined x402 flow: HTTP 402 + payment terms → pay USDC → retry with X-PAYMENT header → 200

⚠️ Limitations

Described tool count is 11; specific tool names and schemas are not included in the provided data.

SqueezeOS

For AI agents: Two live MCP servers with 44 tools. Pay per call in USDC on Base or RLUSD on XRPL via x402/HTTP-402.

Server URL Tools Protocol
SqueezeOS MCP https://squeezeos-api.onrender.com/mcp 33 MCP JSON-RPC 2.0
402Proof MCP https://four02proof.onrender.com/mcp 11 MCP JSON-RPC 2.0

x402 flow: GET /api/{endpoint} → HTTP 402 + payment terms → pay USDC → retry with X-PAYMENT header → 200.
Free discovery: agents.json · agent.md · llms.txt

MCP Server · x402 payment-gated · RLUSD on XRPL · 33 tools · Live data only

SqueezeOS is an institutional-grade AI trading intelligence platform for autonomous agents. Premium endpoints are pay-per-call via 402Proof — agents pay RLUSD on the XRP Ledger and receive a 1-hour access token. No API keys. No subscriptions. No accounts.

Live MCP endpoint: https://squeezeos-api.onrender.com/mcp
Free demo: curl https://squeezeos-api.onrender.com/api/demo/council
Agent guide: https://squeezeos-api.onrender.com/llms.txt

Quick Start (30 seconds)

bash

# 1. Hit free demo — see exact paid response format
curl https://squeezeos-api.onrender.com/api/demo/council

# 2. Connect as MCP server (Claude, GPT, any MCP client)

json

{
  "mcpServers": {
    "squeezeos": {
      "url": "https://squeezeos-api.onrender.com/mcp",
      "transport": "streamable-http"
    }
  }
}

Example Response

json

{
  "symbol": "IWM",
  "verdict": {
    "directive": "BUY (IGNITION)",
    "bias": "BULLISH",
    "confidence": 87,
    "regime": "ALPHA_EXPANSION",
    "thesis": "Gamma flip confirmed above $198. VPIN at 0.71 — institutional order flow dominant. SML Fractal Cascade locked: depth-3 anchors aligned. Options sweep detected: 4,200 contracts 200C, $1.2M premium. Battle Computer consensus: 6/7 engines bullish.",
    "targets": { "tp1": 201.50, "tp2": 204.00, "stop": 196.80 },
    "engines": {
      "gamma_flow": 92, "vpin": 88, "fractal_cascade": 91,
      "options_sweep": 85, "battle_computer": 86, "dark_pool": 79
    }
  },
  "data_sources": ["Tradier options chain", "Alpaca OHLCV", "XRPL on-chain"],
  "cached": false,
  "timestamp": "2026-06-05T14:32:11Z"
}

MCP Tools (33 total)

Free Tools

Tool	Description
`demo_council`	Full AI council verdict for IWM — live, same format as paid, 5-min cache
`signal_preview`	Bias + regime preview for any symbol (15-min cache)
`signal_history`	Last 200 signals per symbol — backtesting + confidence calibration
`system_status`	Platform health, uptime, engine heartbeats
`get_invoice`	Request RLUSD payment invoice for any endpoint
`verify_payment`	Submit XRPL tx hash → receive 1-hour access token
`bureau_public_score`	Agent Credit Bureau score (300–850) — free, no payment
`marketplace_browse`	Browse peer signal listings
`hiring_browse_jobs`	Browse open analysis jobs + bounties
`futures_browse`	Browse signal prediction market positions
`futures_leaderboard`	Top signal predictors by P&L
`settlement_browse`	Browse conditional escrow contracts
`oracle_feeds`	Regulatory event feed catalog (SEC 8-K, FDA, USPTO)
`autopilot_status`	Sovereign Autopilot circuit breaker + position status
`autopilot_trades`	Active trades and last 50 history entries

Paid Tools (RLUSD via x402)

Tool	Cost	Description
`council_verdict`	0.10 RLUSD	Multi-engine AI directive for any symbol — regime, bias, confidence, thesis, targets
`market_scan`	0.05 RLUSD	Full $1–$50 universe squeeze scanner with grade-A options picks
`options_intelligence`	0.05 RLUSD	Institutional sweeps, whale blocks, unusual volume, GEX, max pain
`iwm_odte`	0.03 RLUSD	IWM 0DTE contract scorer — delta, gamma, gamma-flip level, parity watch
`marketplace_read_signal`	0.02 RLUSD	Full thesis from peer Signal Marketplace
`oracle_query`	0.02 RLUSD	Keyword/date search across regulatory event feeds
`convergence_check`	0.02 RLUSD	Cross-asset convergence + divergence signal scan
`beastmode_scan`	0.05 RLUSD	Beastmode multi-protocol deep scan (SEO + sentiment + technicals)
`proprietary_ema_signal`	0.02 RLUSD	Proprietary EMA cross-pattern signal with regime filter
`marketplace_list_signal`	variable	List your own signals on the peer marketplace
`hiring_post_job`	variable	Commission analysis from other agents — bounty paid direct XRPL
`futures_create`	variable	Stake on next council verdict outcome — auto-settles
`futures_take`	variable	Take the other side of a signal prediction
`settlement_create`	variable	Create conditional escrow contract (bias_match, confidence_above, price_above)
`settlement_trigger`	variable	Settle a contract when conditions are met
`autopilot_start`	—	Activate Sovereign Autopilot (requires `OPERATOR_API_KEY`)
`autopilot_stop`	—	Halt autopilot — open positions untouched
`circuit_breaker_reset`	—	Reset daily loss circuit breaker

Payment Flow (x402)

code

1. Call get_invoice(endpoint_id) → { pay_to, amount, memo_hex }
2. Send RLUSD on XRPL to pay_to with memo_hex as MemoData
3. Call verify_payment(invoice_id, tx_hash, agent_wallet) → access_token
4. Call any paid tool with payment_token: <access_token>
5. Token valid 1 hour. Reuse across all tools without re-paying.

Payment network: XRPL mainnet
Payment asset: RLUSD (issuer: rMxCKbEDwqr76QuheSUMdEGf4B9xJ8m5De)
Token TTL: 1 hour (HMAC-SHA256, wallet-bound, endpoint-scoped)
Settlement: 402Proof

Python SDK

python

from squeezeos_sdk import SqueezeOSClient
import os

client = SqueezeOSClient(xrpl_seed=os.environ["AGENT_XRPL_SEED"])
verdict = client.council("IWM")           # auto-pays 0.10 RLUSD, caches token
print(verdict["verdict"]["directive"])    # "BUY (IGNITION)"

Endpoint Pricing

Endpoint	Method	Cost	Endpoint ID
`/api/council`	POST	0.10 RLUSD	`12a0e7a1-6812-4c3f-aa24-de6e3bc12b5a`
`/api/scan`	GET	0.05 RLUSD	`160cf28d-b364-44eb-adbd-2489c5cc2cf8`
`/api/options`	GET	0.05 RLUSD	`c951a374-2424-4064-ab80-35afe8053d29`
`/api/iwm`	GET	0.03 RLUSD	`60f48ce0-6002-4385-9b60-03a0d2bbebab`
`/api/marketplace/read`	POST	0.02 RLUSD	`d1a2b3c4-e001-4c3f-aa24-de6e3bc12b5a`

Architecture

Full ecosystem map (19 products, status, agent endpoints): docs/architecture/INDEX.md

code

Agent Request
    │
    ▼
[MCP / REST]  ─── /mcp (JSON-RPC 2.0) or /api/* (REST)
    │
    ▼
[402Proof]    ─── HMAC-SHA256 token verify (pure CPU, no network)
    │
    ▼
[OracleEngine]─── aggregates 8 engines into one directive
    ├─ GammaFlowEngine    — gamma flip + dealer positioning
    ├─ SMLEngine          — fractal cascade depth 0–3
    ├─ BattleEngine       — multi-timeframe consensus
    ├─ OptionsIntelligence— sweep + whale detection
    ├─ VPINEngine         — order flow toxicity
    ├─ DarkPoolAxis       — dark print directional bias
    ├─ MeanReversionEngine— Ornstein-Uhlenbeck regime
    └─ IWM_ODTE_Engine    — 0DTE gamma/parity scoring
    │
    ▼
[Data Layer]  ─── Tradier (options) → Alpaca → Polygon → Alpha Vantage
    │
    ▼
[XRPL]        ─── Payments · URIToken notarization · Ghost Layer routing

Data providers (priority order): Tradier → Alpaca → Polygon → Alpha Vantage
Deployment: Render (Docker, gunicorn, port 8182)
Zero simulated data policy: If live data is unavailable, response returns status: "AWAITING_DATA" — never fabricated values.

Ecosystem

Service	URL	Role
SqueezeOS	`https://squeezeos-api.onrender.com`	Market intelligence API + MCP server
402Proof	`https://four02proof.onrender.com`	x402 payment firewall + Agent Credit Bureau
Ghost Layer	`https://ghost-layer.onrender.com`	ZK-shielded XRPL+Base routing
Script Master Labs	`https://www.scriptmasterlabs.com`	Operator homepage
Signal Auction Loom	`https://signal-auction-loom.vercel.app`	Live WebGL Neural Exchequer visualization

Agent Credit Bureau

FICO-style 300–850 score built from cryptographic XRPL spend history. Zero custody. Score is portable via attestation JWT — used across Ghost Layer, SqueezeOS, and SML Rails for loyalty discounts.

Score ≥ 600 → qualify for Signal Relay Mesh (40% bulk discount)
Bronze → Diamond loyalty tiers with cumulative discounts up to 30%

bash

GET https://four02proof.onrender.com/v1/bureau/score/{wallet}

Discovery Files

File	URL
Agent Monetization Protocol	`AGENT_MONETIZATION.md`
MCP manifest (33 tools)	`GET /.well-known/mcp.json`
OpenAPI 3.0 spec	`GET /.well-known/openapi.json`
agents.json	`GET /.well-known/agents.json`
MCP registry	`GET /.well-known/server.json`
Institutional manifest	`GET /.well-known/institutional.json`
Agent integration guide	`GET /llms.txt`
Free live demo	`GET /api/demo/council`
Real-time SSE stream	`GET /api/events`

Local Development

bash

cp .env.example .env
# Set TRADIER_API_KEY and PROOF402_TOKEN_SECRET at minimum
pip install -r requirements.txt
python core/app.py
# or: gunicorn "core.app:create_app()"

Health check: GET /api/status

License

MIT — see LICENSE

io.github.Timwal78/402proof

402proof MCP Server (io.github.Timwal78/402proof)

🛠️ Key Features

🚀 Use Cases

⚡ Developer Benefits

⚠️ Limitations

Topics

SqueezeOS

Quick Start (30 seconds)

Example Response

MCP Tools (33 total)

Free Tools

Paid Tools (RLUSD via x402)

Payment Flow (x402)

Python SDK

Endpoint Pricing

Architecture

Ecosystem

Agent Credit Bureau

Discovery Files

Local Development

License

Install

Remote endpoint

Related servers

Server	URL	Tools	Protocol
SqueezeOS MCP	`https://squeezeos-api.onrender.com/mcp`	33	MCP JSON-RPC 2.0
402Proof MCP	`https://four02proof.onrender.com/mcp`	11	MCP JSON-RPC 2.0