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Tenvra Trust
Demonstration research sample — not a live rating of real businesses.

Tenvra Trust

Evidence behind business trust.

Tenvra Trust is building a global, evidence-backed commercial trust graph — so a person or an agent can ask who a business is, what public evidence exists, how confident that evidence is, and why an assessment moved.

This public site is an early research presence. It does not yet cover hundreds of millions of businesses. The profiles below are labelled demonstration samples used to prove the product shape: identity, evidence, explanation, and machine-readable access.

Resolve a name

Ambiguous on purpose. “McDonald’s London” is several nodes, not one company.

Evidence, not vibes

Every material fact carries class, source, time, provenance, and confidence. Profiles are views over a ledger.

Score is not confidence

Reputation, evidence confidence, depth, and freshness are separate. A thin 5.0 does not outrank a well-evidenced 4.8.

Paying does not buy a number

Businesses may later add evidence. Additional evidence may raise, lower, or leave an assessment unchanged — or only increase confidence.

Under-merge identity

Brand, company, operator, and location stay distinct until evidence says otherwise. Search returns candidate sets.

Sample graph

Open public search

Independent cafe, chain brand and locations, franchise operator, industrial supplier, identity-only stub, and two companies that share a name. None of these are live ratings.

For machines

Versioned JSON at /api/v1, OpenAPI at /openapi.json, and a Model Context Protocol endpoint at POST /mcp. Agents should resolve, fetch evidence, and make their own decision.

Developer notes

How assessment works

Current numbers use the labelled research estimator research.v0. It is a probe, not the final Tenvra Trust methodology. Insufficient evidence is a first-class outcome.

Methodology