Skip to contentBlockAssay
BLOCKASSAY METHODOLOGY

Trust is built by showing how we know.

BlockAssay makes provenance, limits and inconsistencies visible instead of hiding uncertainty behind a single score.

DIRECT ANSWER

How BlockAssay handles data and limitations.

Principle
BlockAssay separates verifiable facts, timestamped observations, and interpretations.
Sources
Provenance and a timestamp are shown when they are available and verifiable.
Missing data
A missing, stale, or unreachable source remains marked unavailable: no value is invented.
Limits
Diagnostics are informational and non-advisory, with no guarantee of safety or future performance.

OBSERVED / INFERRED / UNKNOWN / INSUFFICIENT

OBSERVED
Directly returned by the stated source for the exact chain and asset identity.
INFERRED
Derived from observed inputs; the derivation must be named and cannot be presented as a direct fact.
UNKNOWN
The source did not establish the fact, the capability is unavailable, or the evidence boundary was not met.
INSUFFICIENT
Some data exists, but it does not support the public conclusion or indexability threshold.

Example: a revoked Solana mint authority returned by Solana RPC is OBSERVED. “The token is safe” is not a supported inference.

Provenance: every indexed fact must carry a source valid for its fact family and an HTTPS verification location.

Freshness: observedAt describes when the fact was collected; it is not replaced by request time.

Contradictions: conflicting exact-asset sources prevent a confident conclusion and remain UNKNOWN or INSUFFICIENT until resolved.

Limits: no score, page or source guarantees safety, profit, identity, ownership, or future behavior.

1. Identify the asset before analyzing it

BlockAssay prioritizes a verifiable technical identity: chain, token or mint address and available provenance. A name or ticker is not enough.

2. Separate observation from intelligence

Prices, volumes, liquidity and on-chain data may be observations. A score or conclusion appears only when it is actually produced by a validated method.

3. Measure quality before interpreting

Incomplete or inconsistent data must reduce confidence and trigger an explicit verification or insufficient-information state.

4. Do not turn a technical proxy into human certainty

A token account is not automatically one economic holder, and a technical authority does not prove civil identity.

5. Keep Radar independent from Creator Lab

Creators may pay for tools, never to improve a diagnostic, remove a warning or influence Radar.

6. Fail closed at the public boundary

Public payloads pass shape, value, semantic-consistency and secret-leak checks. On failure BlockAssay returns a neutral state rather than internal details.

What this methodology does not guarantee

No diagnostic guarantees that an asset will rise, a project is honest or a transaction is risk-free. BlockAssay helps reduce uncertainty; it never denies it.

What BlockAssay observes, and how it labels it

  • OBSERVED: a fact returned by an identified source at a given time.
  • INFERRED: a conclusion drawn from observed facts, always linked to those facts.
  • UNKNOWN: no source provided a usable answer; never counted as reassuring.
  • INSUFFICIENT: some data exists, but not enough to conclude.

What this does not allow anyone to conclude

  • A favourable result applies only to the verified scope; it is never a safety guarantee.
  • A score is neither a probability of fraud nor of a price increase.
  • No payment, plan or tool (Creator Lab, Marketplace, Support) can improve a Radar diagnosis.

Provenance and freshness

  • Each fact stays bound to the source family that supports it; no source is silently reused for a different fact family.
  • Every observation carries its source and time; stale or insufficient evidence removes the page from the index.

Frequently asked questions

What is the difference between UNKNOWN and INSUFFICIENT?

UNKNOWN: no source answered. INSUFFICIENT: data exists, but it is not enough to conclude.

Why is missing data never reassuring?

Because absence of evidence is not evidence of absence of risk.

Can a subscription change a diagnosis?

No. Diagnoses are independent of plans and creation tools.