Run diligence with the evidence stream
For capital allocators. Operational diligence no longer starts and ends with a PDF. Live evidence sits alongside the legal documents behind the asset — you will still read the PPA, and you will no longer have to take the generation figures in it on faith.
Prerequisites
· A T1 account. Read access requires email verification only — no KYB, no sales call.
· For the legal cluster: an offering that permits document access to verified investors, and a verified investor record. Hashes are public; the documents themselves are not.
01Screen
curl "https://sandbox.api.arkreen.com/v1/offerings?data_assurance=L3&asset_readiness=investment_ready&country=TH&status=open&limit=50" \ -H "Authorization: Bearer $TOKEN"
Filter on both dimensions. data_assurance is the cheapest cut and removes everything whose numbers you cannot trust; asset_readiness removes everything whose numbers you can trust and whose revenue you still might not be entitled to. Screening on one and not the other is how you end up doing full diligence on an asset that was never issuable.
02Pull the operating history, not the summary
curl "https://sandbox.api.arkreen.com/v1/distributions?project_id=prj_8fK2mQ&from=2024-01-01&limit=100" \ -H "Authorization: Bearer $TOKEN"
Every past epoch, with verified generation, revenue, the full waterfall result, and an evidence_ref for each. This is the actual track record, not a modeled one.
03Check the data, not just the numbers
curl "https://sandbox.api.arkreen.com/v1/risk/projects/prj_8fK2mQ" -H "Authorization: Bearer $TOKEN"
{
"data_assurance": "L3",
"asset_readiness": "investment_ready",
"assurance_state": "active",
"data_quality": { "continuity_90d": 0.998, "signed_ratio": 1.0, "anomaly_rate": 0.0002 },
"generation": { "p50_annual_wh": 438000000, "cv_monthly": 0.14,
"degradation_annual_pct": 0.55 },
"cashflow": { "collection_ratio_12m": 1.0, "days_sales_outstanding": 4.2,
"offtaker_concentration": 1.0 },
"counterparty": { "offtaker_rating_internal": "B+", "operator_score": 0.87 },
"flags": []
}There is no overall score in this object, and there will not be one. These are inputs. The grade is yours to produce.
data_quality.continuity_90d and cashflow.collection_ratio_12m tell you more about a distributed energy asset than any generation figure. A plant that generates well and collects at 0.82 is a receivables problem wearing a solar costume. Generation is physics and behaves predictably; collection is counterparty behavior and does not.
04Verify a distribution yourself, in four parts
Hashes and attestations make the documents tamper-evident and tell you who checked them. They do not tell you what a termination clause says, how the assignment of receivables is drafted, or whether the insurance covers the failure mode that matters. Legal diligence still means reading the PPA, the lease, the SPV documents, and the permits. Not a replacement for a lawyer — a way to stop rechecking the same numbers by hand.
05Subscribe to the stream
curl -N "https://sandbox.api.arkreen.com/v1/evidence/projects/prj_8fK2mQ/stream" \ -H "Authorization: Bearer $TOKEN" -H "Accept: text/event-stream"
Server-sent events, one per verified batch. Point your own model at it rather than re-pulling history on a schedule.
Your model produces its own view of the operating asset — generation, verification quality, collection behaviour, and distribution history — without asking anyone for a figure, and your legal review is working from documents whose integrity you verified rather than from a summary someone prepared for you.
Those are two different kinds of done, and only the first one is automatic.