market2agent 4.1.0

TVP - Trust Verification Protocol. The background check of the internet.

Market2Agent — The Background Check of the Internet

Trust scoring for any entity on Earth. One API call, nine sensors, one number.

pip install market2agent

Quick Start

from trustchain import verify

result = verify("stripe.com")
print(result.score)    # 875
print(result.grade)    # "AAA"
print(result.trusted)  # True

# TrustResult is truthy:
if verify("stripe.com"):
    proceed()

What It Does

Every verify() call fires 9 independent sensors in parallel:

Sensor	What It Checks
Tranco	Global traffic rank (Top 1M)
crt.sh	Certificate transparency logs
VirusTotal	70 security vendor consensus
DNS	SPF, DMARC, DKIM, DNSSEC
HTTP Headers	Security headers, WAF/CDN fingerprint
WHOIS	Domain age, registrar, expiry
Knowledge Graph	Wikipedia, Wikidata, Crunchbase
Web Presence	Structured data, status pages, tech stack
Social	LinkedIn, GitHub, social profiles

Results are scored 0–1000, graded AAA to D, with a clear recommendation: PROCEED, REVIEW, or REJECT.

Every observation is SHA-256 hash-chained on the TrustChain — an append-only, cryptographically verifiable ledger.

Integration Patterns

Decorator — gate any function

from trustchain import guard

@guard("api.vendor.com", min_score=600)
def call_vendor_api():
    ...  # Only runs if vendor scores 600+

Middleware — protect your entire app

from trustchain import TrustGate

app.add_middleware(TrustGate, min_score=500)

Async — for AI agent frameworks

from trustchain import verify_async

result = await verify_async("openai.com")

Federation — Build Your Own Trust Layer

Add custom sensors without affecting the canonical score:

from trustchain import TrustNode

node = TrustNode(name="my-app", region="us-west-2")

@node.sensor("payment_reliability", weight=2.0)
def check_payments(target):
    rate = get_failure_rate(target)
    return {"score": int((1 - rate) * 100), "fail_rate": rate}

result = node.verify("stripe.com")
result.canonical_score   # 875 (from Market2Agent, immutable)
result.local_score       # 920 (from your sensors)
result.blended_score     # 888 (70/30 blend)

Security model: Canonical score is READ-ONLY. Your sensors can add caution (flag something canonical missed) but never remove it. If canonical says REJECT, your local score doesn't override that.

Your usage patterns — volume, diversity, consistency — are observed through normal API telemetry. Honest use at scale increases YOUR trust score. You earn trust by behavior, not by claiming it.

Pricing

Tier	Calls/mo	Price
Free	10/hr	$0
Pro	1,000	$50/mo
Business	10,000	$200/mo

Preview scores are always free. No credit card required.

Links

• Website: market2agent.ai
• API Docs: market2agent.ai/docs
• GitHub: github.com/jamesrausch100/DaaSTrustLayer

License

MIT — use it anywhere, no restrictions.

Built by James Rausch in Scottsdale, AZ.