Bartholomew Developer Documentation

Deterministic microsecond-latency AST invariant verification, credential scrubbing, and eBPF kernel process sandboxing for autonomous agent swarms.

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Uncap 100k+ in-process AST evaluations, FIPS 186-5 Merkle receipts, and micro-toll spend caps for Cursor, Claude Code, and Python.
$5 Starter Activate $10 Dev Pack →

1-Line Installation & Setup

Install Bartholomew across your development stack with one command:

curl -fsSL https://bartholomew.info/install.sh | bash
irm https://bartholomew.info/install.ps1 | iex
pip install --upgrade btp-guard
npm install btp-guard
brew tap staccFoxx/bartholomew && brew install btp-guard
Instant Verification: After installing, run btp-guard try for an immediate AST safety verification in < 3 seconds.

Architecture & Performance Benchmarks

Compiled zero-overhead Agentic Runtime Protection (ARP). Operates strictly in-process with microsecond-latency µs execution latency, eliminating 200ms–1,500ms network round-trip bottlenecks.

Verified Telemetry: 2,927 deterministic test vectors passing with over 60,000+ developer downloads worldwide.
In-Process Latency
< 20 µs
Compiled zero-overhead gate
Deterministic Pass
100% Verified
2,927 Test Vectors Passing
Identity Model
NHI Passport
FIPS 186-5 Ed25519 signing
Adoption Scale
60,000+
Global downloads & installs
GUARDRAIL PLATFORM EVALUATION LATENCY INSPECTION METHOD EXECUTION GUARANTEE
Bartholomew (BTP v7.0.0) < 20 µs (compiled) Deterministic AST & eBPF Invariants ✓ 100% Deterministic (Zero Drift)
Meta Llama Guard 3 250ms – 650ms Secondary LLM Prompt Classifier ✗ Probabilistic (Jailbreak Susceptible)
NVIDIA NeMo Guardrails 180ms – 420ms Colang Flows & Vector Embeddings ✗ Semantic Drift Risk
Guardrails AI 95ms – 300ms Regex & Remote API Validators ✗ Vulnerable to Obfuscation

The Token Tollbooth Reverse Proxy & M2M Autonomous Rail (HTTP 402)

A zero-refactoring, drop-in reverse proxy that sits transparently between your agent swarms and upstream LLM providers (OpenAI, Anthropic, DeepSeek). Automatically compresses prompt tokens in-flight by 25% to 35%, eliminates boilerplate, enforces invariant constraints, and exposes an autonomous machine-to-machine micropayment rail (HTTP 402).

Drop-In Zero Code Changes: Simply point OPENAI_BASE_URL="https://proxy.bartholomew.info/v1". Every completion returns exact token reductions via X-PromptSmith-Tokens-Saved headers. Free tier: 10 calls. Unlimited autonomous clearance: $0.99 / week.
# Drop-in OpenAI-compatible chat completion through Bartholomew Tollbooth
curl -i -X POST https://proxy.bartholomew.info/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -H "X-BTP-Passkey: PSMITH-PRO-YOUR-KEY" \
  -d '{
    "model": "gpt-4o",
    "messages": [
      {"role": "system", "content": "You are a software security assistant."},
      {"role": "user", "content": "Please could you kindly review this code and make sure to find bugs."}
    ]
  }'

# Live Output Headers:
# X-PromptSmith-Tokens-Original: 28
# X-PromptSmith-Tokens-Compressed: 18
# X-PromptSmith-Tokens-Saved: 10
# X-PromptSmith-Efficiency-Pct: 35.7%
# X-PromptSmith-Cost-Reduction-USD: $0.000050
from openai import OpenAI
import os

# Point base_url to the Bartholomew reverse proxy tollbooth
client = OpenAI(
    base_url="https://proxy.bartholomew.info/v1",
    api_key=os.getenv("OPENAI_API_KEY"),
    default_headers={"X-BTP-Passkey": os.getenv("BTP_PASSKEY", "PSMITH-PRO-YOUR-PASSKEY")}
)

response = client.chat.completions.create(
    model="gpt-4o",
    messages=[
        {"role": "system", "content": "You are an automated code generator."},
        {"role": "user", "content": "Please write a resilient worker thread in Python."}
    ]
)

print(response.choices[0].message.content)
import os
from langchain_openai import ChatOpenAI

# Intercept and trim tokens transparently across all LangChain agents
llm = ChatOpenAI(
    model="gpt-4o",
    openai_api_base="https://proxy.bartholomew.info/v1",
    openai_api_key=os.getenv("OPENAI_API_KEY"),
    default_headers={"X-BTP-Passkey": os.getenv("BTP_PASSKEY")}
)

result = llm.invoke("Please analyze and compress this architectural document.")
print(result.content)
import requests

# Autonomous agent handling HTTP 402 Payment Required toll gate
PROXY_URL = "https://proxy.bartholomew.info/v1/chat/completions"
SETTLE_URL = "https://proxy.bartholomew.info/v1/m2m/settle"

payload = {
    "model": "gpt-4o",
    "messages": [{"role": "user", "content": "Execute high-density code refactoring."}]
}

resp = requests.post(PROXY_URL, json=payload)

if resp.status_code == 402:
    print("[M2M Protocol] HTTP 402 Payment Required detected. Settle rail:", resp.headers.get("X-BTP-Checkout-Rail"))
    
    # Machine-to-Machine programmatic settlement via Keystone Passkey ($0.99/wk)
    settle_resp = requests.post(SETTLE_URL, json={
        "client_id": "autonomous-agent-01",
        "passkey": "PSMITH-PRO-SWARM-PASSKEY",
        "requested_quota": 50000
    })
    
    if settle_resp.status_code == 200:
        print("[M2M Protocol] Toll cleared autonomously. Re-submitting payload...")
        resp = requests.post(
            PROXY_URL,
            json=payload,
            headers={"X-BTP-Passkey": "PSMITH-PRO-SWARM-PASSKEY"}
        )
        print(resp.json())

REST API & Cloud Endpoints

In addition to native SDK bindings, Bartholomew exposes low-latency stateless HTTP endpoints for microservices, CI/CD runners, and edge agents. Full specification available at /openapi.json →

API Compatibility: Certified compliant with OpenAPI 3.0, RapidAPI, and APIs.guru standards for edge and microservice orchestration.
curl -X POST https://bartholomew.info/api/v1/sanitize \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_BTP_KEY" \
  -d '{
    "payload": "Please review AWS_SECRET_ACCESS_KEY=wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY and rm -rf /",
    "agent_id": "claude-code-subagent-01",
    "strict_mode": true
  }'

# Response (< 20 µs):
{
  "status": "SANITIZED",
  "safe": true,
  "redacted_tokens": 1,
  "blocked_invariants": ["CATASTROPHIC_SHELL_DELETION"],
  "clean_payload": "Please review AWS_SECRET_ACCESS_KEY=[REDACTED] and [BLOCKED_OPERATION]",
  "signature": "ed25519:7c92b49e0a81..."
}
curl -X POST https://bartholomew.info/api/v1/validate \
  -H "Content-Type: application/json" \
  -d '{
    "agent_passport": "nhi:btp:ed25519:3a890f841...",
    "action": "execute_tool",
    "tool_name": "postgres_db_query"
  }'

# Response:
{
  "authorized": true,
  "identity": "nhi:btp:ed25519:3a890f841...",
  "rate_limit_remaining": 99998,
  "attestation_timestamp": 1790800000
}
import httpx

resp = httpx.post(
    "https://bartholomew.info/api/v1/sanitize",
    json={"payload": agent_prompt, "agent_id": "agent-alpha"},
    headers={"Authorization": "Bearer YOUR_BTP_KEY"}
)
clean_data = resp.json()["clean_payload"]
const res = await fetch("https://bartholomew.info/api/v1/sanitize", {
  method: "POST",
  headers: { "Content-Type": "application/json", "Authorization": "Bearer YOUR_BTP_KEY" },
  body: JSON.stringify({ payload: agentPrompt, agent_id: "agent-node" })
});
const { clean_payload, safe } = await res.json();

Python: protect_agent(agent)

Wrap any autonomous agent (CrewAI, LangChain, AutoGen, or custom) in a single line of code. All agent tools and lifecycle methods are automatically shielded:

from crewai import Agent
from btp_guard import protect_agent

# 1. Instantiate any CrewAI agent
raw_agent = Agent(
    role="Fintech Ops Analyst",
    goal="Query database and execute verified transaction settlements",
    tools=[db_query_tool, bash_runner_tool]
)

# 2. Wrap in 1 line:
agent = protect_agent(raw_agent, spend_cap=50.0, strict=True)

# Gated execution: secrets auto-scrubbed, catastrophic commands blocked in microsecond-SLA
result = agent.execute_task("Analyze monthly invoices and query balance")
from langchain.agents import create_react_agent
from btp_guard import protect_agent

raw_agent = create_react_agent(llm, tools)

# 1-Line Universal Protection:
agent = protect_agent(raw_agent, spend_cap=25.0)

# Destructive shell actions (rm -rf, DROP TABLE) return self-correction feedback
response = agent.invoke({"input": "Perform system maintenance on /var/log"})
from btp_guard import protect_agent

class AutonomousDevBot:
    def __init__(self):
        self.tools = [execute_sql, run_shell]
    def run(self, prompt: str) -> str:
        return f"Executing {prompt}"

bot = protect_agent(AutonomousDevBot(), spend_cap=100.0)
bot.run("SELECT id FROM users")  # Allowed
bot.run("rm -rf /")             # Blocked with [BLOCKED BY BARTHOLOMEW] feedback
ParameterTypeDefaultDescription
agentObjectRequiredAny agent instance containing lifecycle methods or a tools list.
spend_capfloat50.0Cumulative dollar limit for billable tool executions.
strictboolTrueIf true, destructive invariant violations raise exceptions; if false, emits LLM feedback strings.

TypeScript: protectAgent(agent)

Full parity for Node.js, Vercel AI SDK, Mastra, and LangChain.js agents:

import { protectAgent } from 'btp-guard';

const agent = protectAgent(myLangChainAgent, {
  spendCap: 50.0,
  strict: true
});

// All tool calls and prompt dispatches evaluated in microsecond-SLA
const output = await agent.invoke({ input: "Analyze accounts" });
import { protectAgent } from 'btp-guard';

const customWorker = {
  name: 'DataPipelineWorker',
  tools: [sqlQueryTool, fileWriteTool],
  async run(prompt) { return `Done: ${prompt}`; }
};

const safeWorker = protectAgent(customWorker);
await safeWorker.run("Sync customer balances"); // Allowed

CrewAI & LangChain Integration

Intercept autonomous agent tool-calling pre-flight with zero overhead. Blocks destructive commands, secret leaks, and spend overruns before tool execution:

from langchain.agents import initialize_agent, load_tools
from langchain_openai import ChatOpenAI
from btp_guard import BTPCallbackHandler

# 1-Line Drop-in Callback Handler
guard = BTPCallbackHandler(max_spend_usd=250.0, auto_raise=True)

llm = ChatOpenAI(temperature=0)
tools = load_tools(["serpapi", "python_repl"], llm=llm)

agent = initialize_agent(tools, llm, agent="zero-shot-react-description")

# Every tool execution is audited, masked, and verified (microsecond-SLA AST checks)
result = agent.run("Calculate quarterly tax estimate", callbacks=[guard])
print("Audit Receipt:", guard.last_receipt.signature)
from crewai import Agent, Task, Crew
from btp_guard import bartholomew_guard

@bartholomew_guard(scope="data_engineering", max_spend_usd=100.0)
class SecureAnalysisAgent(Agent):
    pass

researcher = SecureAnalysisAgent(
    role="Senior Quantitative Researcher",
    goal="Analyze market volatility invariants without leaking confidential keys",
    backstory="Protected by Bartholomew AST Gateway and Ed25519 Merkle receipts",
    verbose=True
)

crew = Crew(agents=[researcher], tasks=[...])
crew.kickoff()

AutoGen & Claude Code (MCP)

Wrap AutoGen conversational agents or Claude Code terminals with deterministic execution gating:

# Protect Claude Code or any bash-enabled agent in-flight:
npx -y btp-guard run -- claude

# Intercept and wrap an untrusted MCP server for Claude Desktop / Code:
npx -y mcp-proxy-guard -- npx -y @modelcontextprotocol/server-postgres "postgresql://db:5432"
import autogen
from btp_guard import protect_autogen_assistant

config_list = autogen.config_list_from_json(env_or_file="OAI_CONFIG_LIST")
assistant = autogen.AssistantAgent("coder", llm_config={"config_list": config_list})
user_proxy = autogen.UserProxyAgent("user_proxy", code_execution_config={"work_dir": "workspace"})

# Enforce microsecond-latency execution boundaries on assistant's suggested code
protect_autogen_assistant(assistant, allowed_modules=["math", "pandas", "numpy"])

user_proxy.initiate_chat(assistant, message="Plot normalized retention cohort curves")

One-Click CI/CD Agent Safety Gate (GitHub Action)

Audit agent directives (.cursorrules, CLAUDE.md, GEMINI.md) on every pull request. Intercepts prompt injection payloads, unconfined bash scripts, and leaked credentials with RFC 8785 Merkle receipts.

# .github/workflows/agent-guard.yml
name: Agent Guard Safety Audit
on: [push, pull_request]

jobs:
  ai-safety-gate:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: staccFoxx/bartholomew@main
        with:
          scan-paths: '.cursorrules, CLAUDE.md, GEMINI.md, copilot-instructions.md'
          fail-on-exploit: true
# Run the exact same AST invariant audit locally:
python scripts/run_ci_agent_audit.py

# Output:
[+] .cursorrules: PASSED (Clean AST Invariants)
[+] CLAUDE.md: PASSED (Clean AST Invariants)
[+] GEMINI.md: PASSED (Clean AST Invariants)
Overall Agent Resilience Score: 100 / 100 [IMMUNIZED]
Merkle Attestation Root: ed25519:c0ebbf2ba24255b6821d7d9de4069...

Docker Hermetic Sandbox

For production deployments requiring hardware-level process isolation, run untrusted agent code within the hermetic Bartholomew Docker runtime:

Container Isolation: Hardened hermetic container runtime with custom seccomp filtering, dropped Linux capabilities, and zero network exfiltration.
Bash / Docker CLI
# Run isolated container with compiled Bartholomew invariant enforcement:
docker run -d \
  --name btp-sandbox \
  --security-opt seccomp=unconfined \
  --cap-drop=ALL \
  --read-only \
  -p 8080:8080 \
  bartholomew/guard:v7.0.0

# Execute an untrusted agent payload inside the hermetic container:
docker exec btp-sandbox btp-guard run -- "python agent_script.py"

Cursor, Windsurf & Azure DevOps

Install the official Bartholomew Guard and Keystone Passkey extensions directly across your development environments:

# Install from Open VSX (Cursor, Windsurf, VS Code):
code --install-extension Bartholomew.bartholomew-guard-vscode
code --install-extension Bartholomew.bartholomew-keystone
Download VSIX Package (v7.0.0) ↓ Works offline in air-gapped clusters & enterprise CVMs
# azure-pipelines.yml
steps:
- task: BartholomewGateV1@1
  displayName: 'Verify Autonomous Code Safety'
  inputs:
    scanPath: '$(Build.SourcesDirectory)'
    failOnViolation: true
    mintSeal: true
# .github/workflows/verify.yml
steps:
- uses: staccFoxx/bartholomew@main
  with:
    path: '.'
    strict: 'true'

btp-guard run (Process Sandbox)

Execute any arbitrary command or subagent process under Bartholomew's dual-layer AST invariant check and eBPF syscall monitor:

# Safe command execution with cryptographic Merkle receipt:
btp-guard run -- python agent.py

# Destructive attacks are intercepted before kernel execve:
btp-guard run -- rm -rf /
# Output: [!] EXECUTION BLOCKED BY BARTHOLOMEW GATE (Exit code 126)
# Run any untrusted agent inside hardened non-root container sandbox:
docker run --rm -v $(pwd):/workspace bartholomew-sandbox python agent.py

Model Context Protocol (MCP) Security & Proxy Gateway

Intercept, scrub credentials, and gate dangerous tool execution across Claude Desktop, Cursor, and Windsurf in under 20 microseconds:

# Auto-detect and harden all Claude Desktop, Cursor, and Windsurf MCP servers:
npx -y mcp-proxy-guard install

# Transparently wrap any MCP server command manually:
npx -y mcp-proxy-guard -- <mcp-server-command> [args...]

# Run self-contained security verification suite:
npx -y mcp-proxy-guard test
# claude_desktop_config.json
{
  "mcpServers": {
    "guarded-filesystem": {
      "command": "npx",
      "args": ["-y", "mcp-proxy-guard", "--", "npx", "-y", "@modelcontextprotocol/server-filesystem", "./"]
    }
  }
}
# .cursor/mcp.json
{
  "mcpServers": {
    "guarded-terminal": {
      "command": "npx",
      "args": ["-y", "mcp-proxy-guard", "--", "bash"]
    }
  }
}
# Activate Metered API Token for centralized enterprise audit logging ($0.005/receipt):
npx -y mcp-proxy-guard activate btp_api_your_key_here

# Local in-process protection is 100% Free Forever without cloud dependencies.
# Audit logs are cryptographically written to: .btp/audit.log

Cryptographic Verification

Every execution produces an RFC 8785 Ed25519 digital signature verifiable completely offline with zero network connection:

# Verify any BTP execution receipt offline:
btp-guard verify-offline --receipt receipt.json
# Export auditor-ready SOC 2 Type II & EU AI Act compliance dossier:
btp-guard export-compliance --out soc2_dossier.json

Enterprise Zero-Code Sidecar Proxy (Docker & K8s)

Intercept outbound agent tool calls and REST endpoints transparently with zero code changes in the agent application. Runs as a high-throughput sidecar container in Kubernetes pods or Docker Compose.

# docker-compose.sidecar.yml
services:
  bartholomew-sidecar:
    image: ghcr.io/staccfoxx/bartholomew-sidecar:v7.0.0
    ports:
      - "9090:9090"
    environment:
      - PROXY_PORT=9090
      - UPSTREAM_URL=http://agent-app:8000
      - BTP_ALERT_CHANNEL=slack
      - BTP_WEBHOOK_URL=${BTP_WEBHOOK_URL}
    restart: unless-stopped

  agent-app:
    image: your-agent-image:latest
    environment:
      - HTTP_PROXY=http://bartholomew-sidecar:9090
# deploy/kubernetes/sidecar-daemonset.yaml
apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: bartholomew-arp-daemonset
  namespace: security-gate
spec:
  template:
    spec:
      containers:
        - name: bartholomew-proxy
          image: ghcr.io/staccfoxx/bartholomew-sidecar:v7.0.0
          ports:
            - containerPort: 9090
          resources:
            limits: { cpu: "500m", memory: "128Mi" }
            requests: { cpu: "50m", memory: "32Mi" }
# Verify sidecar health (<1ms CPU AST engine, 0 MB GPU VRAM)
curl -s http://127.0.0.1:9090/health | jq .

# Response
{
  "status": "HEALTHY",
  "version": "5.4.23",
  "engine": "Bartholomew-Compiler-AST",
  "latency_median_us": 15.70,
  "gpu_vram_mb": 0
}

Sovereign Air-Gapped Self-Hosting (Docker & Helm 1-Liners)

Deploy Bartholomew inside secure VPCs, on-prem bare-metal clusters, or strict zero-egress air-gapped enclaves (SCIF). Operates 100% locally with zero phone-home telemetry and microsecond-latency AST evaluation latency.

# 1. Run sovereign local AST gateway daemon (Port 8080)
docker run -d \
  --name bartholomew-guard \
  -p 8080:8080 \
  -e BTP_SOVEREIGN_MODE=true \
  -e BTP_MAX_LATENCY_US=35 \
  -v $(pwd)/btp-config:/etc/btp \
  ghcr.io/staccfoxx/bartholomew:v7.0.0

# 2. Test local in-process health endpoint
curl -s http://127.0.0.1:8080/health | jq .
# Response: {"status":"ACTIVE","mode":"AIRGAPPED_SOVEREIGN","ast_latency_us":18.2}
# 1. Add official Bartholomew Helm repository
helm repo add bartholomew https://bartholomew.info/charts
helm repo update

# 2. Deploy high-availability sovereign cluster (3 replicas, local AST compilation)
helm install bartholomew-guard bartholomew/agent-guard \
  --namespace security-gate \
  --create-namespace \
  --set replicas=3 \
  --set ast.subMicrosecond=true \
  --set telemetry.phoneHome=false \
  --set ingress.enabled=true
# Step 1: Export signed container image to air-gapped removable media
docker pull ghcr.io/staccfoxx/bartholomew:v7.0.0
docker save ghcr.io/staccfoxx/bartholomew:v7.0.0 -o bartholomew-v7.0.0.tar

# Step 2: Load and run in zero-egress offline SCIF environment
docker load -i bartholomew-v7.0.0.tar
docker run -d --net=none -p 8080:8080 -v /etc/btp:/etc/btp bartholomew:v7.0.0 --airgapped

Real-Time Incident Webhooks (Slack, Discord, PagerDuty & SIEM)

Stream instant, structured security alerts to your SecOps workflow whenever an autonomous agent attempts a destructive breakout, SSRF exfiltration, or wallet drain.

# .env configuration (dispatches asynchronously on background pool)
BTP_ALERT_CHANNEL=slack           # slack | discord | pagerduty | siem
BTP_WEBHOOK_URL=https://hooks.slack.com/services/T00/B00/XXXXX
BTP_PAGERDUTY_KEY=pd-routing-key  # for PagerDuty Events API v2
from btp_guard import Guard
from btp_guard.webhook_dispatcher import dispatch_incident

# Invariant checks automatically trigger async alerts when DENY occurs
guard = Guard()
res = guard.check("rm -rf / --no-preserve-root")

if not res["allowed"]:
    print(f"Threat intercepted in {res['latency_us']}µs! Alert dispatched.")
# Sample Rich Slack Alert Block Payload
 [Bartholomew ARP] Agent Security Intercept: DENY (BLOCKED)
• Agent ID:    `agent-swarm-worker-42`
• Severity:    `CRITICAL`
• AST Latency: `15.7 µs`
• Threat:      `BTP-AST-001: Catastrophic shell pattern detected`
• Offending:   `rm -rf / --no-preserve-root`
• Receipt:     `ed25519:5ed00027...` | Frame: `BTP/2.2`

Bonded Agent Warranty Fund ($100,000 Pool)

Bartholomew operates an algorithmic $100,000 USD reserve pool that underwrites autonomous agent execution. Enterprise teams can issue bonded policies guaranteeing microsecond-latency gating SLAs and zero uncontained data exfiltration.

Commercial Guarantee: Underwritten warranty reserve fund providing SLA indemnification for registered agent swarms.
CLI & Python SDK
# 1. Check live reserve pool status:
$ btp-guard bond pool

# 2. Underwrite a $50,000 execution bond for an agent:
$ btp-guard bond issue --agent "autonomous-trading-bot-01" --coverage 50000

# 3. In Python runtime:
from btp_guard import WarrantyFundManager

fund = WarrantyFundManager()
policy = fund.issue_policy(agent_id="agent-01", coverage_usd=50000.0)
print(f"Policy Active: {policy['policy_id']} | Merkle Bond: {policy['bond_hash']}")
Cryptographic Proof of Coverage

Every policy issues an Ed25519-signed Merkle voucher tied to the agent's Keystone passkey. Claims undergo automated consensus arbitration before payout.

Capability Passkeys & Commercial Licensing

Instant Key Delivery via Stripe

Bartholomew operates on a transparent, developer-first capability passkey architecture. Passkeys unlock high-throughput in-process AST gating, in-flight secret scrubbing, FIPS 186-5 Ed25519 Merkle receipts, and cross-agent micro-toll budgeting without recurring seat locks or cloud vendor lock-in.

Micro-Starter 1 Dev
$5 flat

Ideal for personal weekend projects and early Cursor/Claude testing.

  • 50,000 In-Process AST Evals
  • Secret Zeroization & Masking
  • Standard Ed25519 Receipts
Claim $5 Starter Pack →
Most Popular
Developer Passkey Production Ready
$10 flat

Full capability protection for active engineers building autonomous agents.

  • 100,000 In-Process AST Evals
  • Cursor + Claude Code + Windsurf
  • FIPS 186-5 Ed25519 Merkle Receipts
  • Autonomous Micro-Toll Clearance
Activate $10 Developer Passkey →
Swarm Passkey Multi-Agent
$15 flat

Designed for distributed multi-agent clusters, CrewAI swarms & AutoGen.

  • 150,000 In-Process AST Evals
  • Multi-Agent Consensus Attestation
  • Swarm Arbitration & Escrow Slashing
  • Priority WebSocket Clearinghouse
Activate $15 Swarm Passkey →

Activating Your Passkey in 60 Seconds

Step 1: Set Your Environment Variable (.env or CI)
# Add to your project root .env or export in shell
BTP_PASSKEY="btp_live_948f2a1b7c093e4b7a19280d94f281e05a8b7c3d"
Step 2: Initialize In Your Agent Runtime (Python or Node.js)
# Python
from btp_guard import protect_agent

# Protect Cursor / Claude Code / CrewAI tools
guard = protect_agent(passkey="btp_live_...")
print(f"Bartholomew Keystone Verified: {guard.status}")
Step 3: Verify Cryptographic Clearance via CLI
# Attest local capability quota and Merkle signature root
btp keystone verify --token $BTP_PASSKEY

Model Context Protocol (MCP) Clearinghouse

Autonomous agents pay each other for MCP tool executions in real-time. The Bartholomew Clearinghouse acts as an in-line micro-escrow and safety validator, ensuring tool payloads pass AST inspection before micropayments settle.

Protocol Settlement: Automated real-time escrow and micro-settlement gate with standardized 2.5% protocol clearinghouse fee.
CLI Execution
# Settle a paid MCP tool invocation ($0.10 price with 2.5% take-rate):
$ btp-guard mcp-settle \
    --agent "claude-code-worker" \
    --tool "postgres_query" \
    --payload '{"query": "SELECT COUNT(*) FROM telemetry"}' \
    --price 0.10

# Output:
# [+] [MCP CLEARINGHOUSE] Tool Execution Approved (14.2µs)
#   - Protocol Fee (2.5%): $0.0025 USD
#   - Tool Provider Payout: $0.0975 USD
#   - Merkle Settlement Seal: f4a890...710c

Universal Dynamic Schema Engine & AST Gating

Seamlessly ingest, harmonize, and validate any tool schema across Anthropic Claude, OpenAI, Google Gemini, OpenAPI 3.x, and JSON Schema 2020-12 with zero manual adapter boilerplate. Executes in-process type validation, secret redaction, and destructive command interception in 3.2 µs.

CLI Commands
# 1. Harmonize any arbitrary schema (Claude, OpenAI, Gemini, OpenAPI) to BTP Universal Contract:
$ npx btp-guard schema harmonize ./my_tool_spec.json

# 2. In-process microsecond-latency dynamic schema & AST invariant validation:
$ npx btp-guard schema validate ./schema.json ./payload.json
[PASS] Invariant Verified (< 3.2 µs) - 0 vulnerabilities, secrets scrubbed in-flight

# 3. Browse all 40 registered universal security tools in chosen format:
$ npx btp-guard schema catalog --format=claude
$ npx btp-guard schema catalog --format=openai
$ npx btp-guard schema catalog --format=gemini

Cross-IDE Unified Marketplace Distribution

Single-command deployment and workspace immunization across Cursor, Windsurf, Claude Code, and VS Code.

1-Click Install Commands
# Cursor IDE:
$ cursor --install-extension Bartholomew.bartholomew-guard-vscode

# Windsurf Cascade:
$ windsurf --install-extension Bartholomew.bartholomew-guard-vscode

# Claude Code / Anthropic MCP:
$ claude mcp add btp-guard npx -y btp-guard mcp-serve

# VS Code / Open VSX:
$ code --install-extension Bartholomew.bartholomew-guard-vscode

# 1-Click Workspace Immunization (.cursorrules, CLAUDE.md, .windsurfrules):
$ npx btp-guard arm

SOC 2 & EU AI Act Compliance Export

Automate security audits, vendor risk assessments, and compliance filings. Every Bartholomew invariant execution produces an immutable, cryptographically verifiable ledger mapped to SOC 2 Type II trust principles and EU AI Act Article 14 human oversight requirements.

Enterprise Governance: Machine-verifiable audit logs mapped to SOC 2 Type II controls and EU AI Act Article 14 transparency requirements.
Audit CLI
# Export complete SOC 2 Type II compliance audit bundle:
$ btp-guard audit export --format=soc2 --output=audit_soc2_dossier.json

# Verify zero uncontained data exfiltrations or unauthorized tool invocations:
$ btp-guard audit verify --dossier=audit_soc2_dossier.json
[+] [BTP COMPLIANCE] 100% Invariant Integrity Verified (2,927 vectors)
[+] Mapped Trust Services Criteria: CC6.1, CC6.6, CC7.1
Open Verifier Portal → Download OpenAPI 3.0 Spec →
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