Evidence before capital.
Verification for agricultural RWAs.
AGIsGEM is building an AI-assisted workflow that turns fragmented livestock contracts and agricultural asset evidence into an evidence register, explainable risk flags, a preliminary Logic Score, and versioned reports for operators, lenders and investors.
Show the work. Label the status.
Pilot #001 remains in controlled design and commercial activation. These entries are a transparent delivery register—not proof of completed registry integrations or production audits.
RWAs fail when verification is weak.
Most real-world assets are not finance-ready because the underlying data is fragmented, inconsistent, and difficult to trust at underwriting speed.
Tokenization platforms promise on-chain liquidity, but the off-chain proof is brittle — paper certificates, manual attestations, opaque provenance chains. Capital cannot move with confidence on data that no one has independently verified.
AGIsGEM is the verification layer that sits between the asset and the capital — turning raw supply chain, regulatory, and operational data into a decision-grade signal.
From supplied evidence to a reviewable report — in three stages.
Ingest
Start with customer-supplied contracts, entity records and asset evidence. Approved registry and marketplace connections are added only after access, testing and legal review.
Verify
Apply the AGIsGEM G.A.M.E. framework to organise evidence, identify gaps and produce explainable risk flags and a preliminary Logic Score.
Operationalize
Issue a versioned PDF and JSON report with a unique report ID. Hashing, IPFS and API delivery are introduced as each pilot capability is tested.
One verification layer. Three different ways in.
AGIsGEM is built for the three sides of a real-world asset deal — the capital that funds it, the platform that tokenizes it, and the operator on the ground. Pick the path that matches you.
Replace opaque PDFs and broker decks with a verifiable Logic Score per asset, anchored to NLIS, weight, sale, and carbon evidence.
- Decision-ready risk score
- Audit trail on IPFS
- API + dashboard delivery
Plug AGIsGEM in as the verification oracle behind your RWA issuances. We deliver provenance, risk, and finance-readiness as a single signed object.
- Oracle-style integration
- Per-asset Logic Score JSON
- Built on Virtuals Protocol
Bring a herd, a carbon project, or a commodity lot. We co-design the verification surface, the Logic Score, and the on-chain proof flow with you.
- Co-designed methodology
- Field-data ingestion
- Shared upside on outcomes
Agriculture is the wedge. RWAs are the platform.
Livestock provenance & finance
NLIS-anchored verification for Australian cattle contracts, from sale yard to lender.
Carbon credit verification
Score additionality, permanence, and methodology compliance for ag and nature-based credits.
Commodities & supply chain
Grain, fibre, and produce — risk-flag inventory before warehouse receipts hit capital markets.
Warehouse-receipt RWAs
Independent proof layer for collateralised inventory in tokenization workflows.
Trade & asset finance
Counterparty and contract due diligence for ag-lenders, insurers, and DeFi underwriters.
One call. One signed Logic Score.
AGIsGEM is built oracle-style: deterministic outputs, IPFS-anchored evidence, and a single object your underwriting, marketplace, or tokenization stack can consume. Below is the shape of the v0.1 response — the same one Pilot #001 is being designed against.
- Logic Score from 0–1, plus a human-readable risk band
- Each verification surface scored and weighted separately
- Proof URI anchored to IPFS for independent re-verification
- Signed by AGIsGEM agent on Virtuals Protocol, settled on Base
// Fetch a Logic Score for a verified RWA
const score = await agisgem.score({
asset_id: "AU-NLIS-PILOT-001",
surfaces: ["nlis", "weight", "sale", "carbon"]
});
// → signed, IPFS-anchored, decision-ready
{
"asset_id": "AU-NLIS-PILOT-001",
"logic_score": 0.82, // 0–1 finance-readiness
"provenance": "verified",
"risk_band": "B+",
"evidence": {
"nlis": { "status": "matched", "weight": 0.30 },
"weight": { "status": "in_range", "weight": 0.25 },
"sale": { "status": "matched", "weight": 0.25 },
"carbon": { "status": "pending", "weight": 0.20 }
},
"proof_uri": "ipfs://bafy.../pilot-001-v0.1.json",
"issued_by": "AGIsGEM · REALM360",
"chain": "base"
}A purpose-built verification oracle, not a generic price feed.
General-purpose oracles usually transport external data. Custodial RWA platforms commonly rely on an appointed custodian. AGIsGEM is being developed to organise agricultural evidence, expose gaps and produce a reviewable decision-support output. Pilot capabilities are marked partial until tested.
A badge is only as credible as the record behind it.
Every issued “Verified by AGIsGEM” badge must resolve to a current public report status, methodology version, evidence window and limitations. Pilot samples are never labelled verified.
Open the Verification LogVerified Livestock Contract — Australian Cattle
A proposed pilot workflow for a livestock contract: evidence mapping, provenance and performance checks, risk flags, a Logic Score explanation and versioned report output.
Methodology, source-data fields, and rubric will be published with the pilot. No fictional TVL. No placeholder testimonials.
Verification activity → token utility. Not the other way around.
Commercial verification is the product. The AGISGEM token supports participation and potential future access within the Virtuals agent ecosystem; it does not represent livestock, land, REALM ownership, guaranteed revenue or a promised return.
Paid services first
Founding pilots, readiness scans and integrations are separately scoped commercial engagements.
Utility under review
Access, service discounts and agent-to-agent payments require technical delivery and legal review.
Virtuals-native
AGIsGEM is listed as an agent on Virtuals Protocol on Base.
Start with a controlled verification pilot.
We are opening a limited number of paid founding engagements for livestock operators, agricultural lenders, brokers and RWA platforms. Defined scope. Evidence-based output.