IMOZURU One-Shot Autonomous Investigation

From a single input, follow the money automatically and produce the report

Business+

What IMOZURU Is

IMOZURU is an investigation agent. Give it one address (or transaction) and it runs the whole sequence itself: scan, ingest into the graph, search for endpoints, choose which node to follow next, decide whether to stop, and finally produce an investigation report PDF and an investigation case — with no operator in the loop.

The point is not that there are more detection rules. It is that the work an analyst repeats by hand on top of a tool — read the result, decide where to pivot next, abandon dead ends, and write up the trail — is performed by the product.

  1. Resolve the input — determine the subject from the address or transaction hash
  2. Scan — scan the seed and collect detections and counterparties
  3. Graph ingest — load the transaction relationships so paths can be traversed
  4. Endpoint search — find where the funds ultimately arrive (exchanges, bridges, and so on)
  5. Frontier selection — pick the addresses to follow on the next hop
  6. Stop decision — judge whether following further is worth it, and cut the branch if not
  7. Report — generate the investigation report PDF and create the case automatically
Related addresses on other chains are correlated and explored even when no bridge left a trace to follow.

A Measured Run

Recorded in August 2026, starting from the address-poisoning network of roughly 800 million JPY that we found and published ourselves.

  • 71 addresses discovered autonomously from one input in about 12 minutes
  • Of those, 57 terminals (endpoints not followed further) and 5 infrastructure nodes
  • 4 addresses attributed to a common operator with a confirmed verdict

Counts and elapsed time depend on the shape of the network, upstream data availability, and the budget you allow. The same input will not always yield the same counts.

How to Use

  1. Open IMOZURU from the sidebar (/account/imozuru)
  2. Choose Address or TX hash, then pick a chain (Auto infers it from the input)
  3. Enter the address or transaction hash to start from
  4. Turn on Deep mode if you need a wider trace
  5. Click start — progress is shown live, step by step
  6. When it finishes, download the report PDF and open the case that was created for you

Supported Chains

Bitcoin, Ethereum, Polygon, BNB Smart Chain, Base, Arbitrum, Optimism, Avalanche, Kaia, and Solana — 10 chains. Auto infers the chain from the input format.

Deep Mode

By default the run is budgeted to finish quickly. Deep mode raises all three ceilings — time budget, hop count, and scan count (10-minute budget, up to 5 hops, up to 100 scans) — so the trace reaches further and wider. A deep run can take around 10 minutes.

Reading the Progress View

Steps appear in order while the investigation runs. Consecutive scan and ingest steps are grouped as a hop expansion, while decision steps (frontier selection, stop decision, report narrative) are always shown on their own line, with an AI badge where the decision was made by a model. If an individual operation times out it is badged as such, skipped, and the investigation continues.

Investigation History

The history at the bottom of the page reopens any past investigation with the same view. You can re-download the report PDF, jump to the case, or delete the investigation (deleting an investigation keeps the case that was created from it).

Reading the Output

IMOZURU never blends what the machine observed with what the model wrote. Check that distinction before you read anything else.

AI-Generated vs Machine-Extracted

The report has 8 sections, and every section heading carries either an AI-generated or a machine-extracted label (one more section appears when a common operator is identified).

AI-generated

Interpretive, for reference. It is written for readability — do not quote it as established fact.

Machine-extracted

Observed on chain (transaction hashes, addresses, hop distance). When the material is used in legal or regulatory filings, verify against these sections as the source.

SectionContentsSource
Investigation summaryOverall summary of the runAI-generated
TimelineChronology of the hop-by-hop expansionAI-generated
Fund flow narrativeHow the funds movedAI-generated
Trail genealogy (exploration path)Fund flow diagram and parent-child discovery tree, including the network value tableMachine-extracted
Common operator attributionOmitted entirely when nothing qualifiesMachine-extracted
Risk indicatorsIndicators extracted from the runAI-generated
Evidence transactionsThe transactions each node was discovered throughMachine-extracted
Endpoints (terminal nodes)Where the trace was stoppedMachine-extracted
Generation metadataWho generated the narrative, model, prompt version, content hashMachine-extracted

Common Operator Attribution

When several addresses appear to belong to the same operator, the report adds a common operator section. Findings fall into two bands.

  • Confirmed — Directly observed: the same address actively originates transactions on more than one chain. This does not depend on any bridge trace.
  • Estimated — A synthesis of circumstantial evidence, not an assertion. Treat it as the starting point for verification.
The confidence score is not a probability. A score of 80 does not mean an 80% chance of a common operator — it is an internal measure of how many signals lined up and how strongly. Do not draw conclusions from the score alone.

Network Value

The report includes three fund-size measures. All three are lower bounds computed only from transactions that were actually observed. Paths that were never observed, and edges with no reliable amount, are excluded.

MeasureDefinitionCaveat
Seed throughputAmount sent plus amount received by the seed addressFunds that came in and went out are counted twice
Observed edge flowSum of the flow across each edge (parent to child) in the genealogyDouble-counts funds that cross multiple hops; it is not net throughput
Terminal inflowAmount that reached terminals such as exchanges and DEX routersRead it as a lower bound on what was cashed out or parked

We deliberately avoid the phrase "total damages" because it has no single definition. USD figures are approximate conversions at the time of the investigation, and assets that could not be converted are kept under their own names.

What a Terminal (Stop) Means

A branch stops when it reaches an exchange, a DEX router, or a bridge. Expanding a hub of that size would flood the investigation with unrelated traffic.

  • Reaching an exchange — a party you can serve a KYC inquiry on. This is usually where an investigation lands.
  • Reaching a DEX router — not an inquiry target. Swapped funds return to the sender, so the trace must continue from the output that leaves the router.
  • Reaching a bridge — continue the trace on the destination chain.

A terminal does not mean the funds disappeared there. Read it as a marker for who to ask next, or where to resume the trace.

Cases and the STR Path

On completion an investigation case is created automatically from the addresses that were found. Each address keeps its genealogy — which address it came from, at which hop, why it was picked up, and the transaction hash behind it — so the discovery path stays auditable afterwards.

  • Addresses are grouped by role (subject, exchange/infrastructure, terminals); large terminal groups start collapsed
  • The addresses in a case can be rescanned in bulk (only successful scans consume quota)
  • A unified case-level PDF can be generated
  • On Enterprise, the case feeds the suspicious transaction report (STR) support package — evidence PDF, docx, and a 43-column CSV

Plans and Limits

IMOZURU is available on the Business plan and above.

PlanIMOZURU
Free / Starter / Pro
Business ($99.99/mo)
Enterprise
  • Quota — each scan the investigation performs consumes one unit of your monthly scan quota. Scans that error or time out are not charged. With zero quota remaining an investigation cannot start, and a low remaining balance clamps the scan ceiling to what is left.
  • Bounded by design — exploration is bounded by three guards at once: time budget, hop count, and scan count. Individual operations also carry timeouts, so a slow step is skipped rather than stalling the run.
  • Robust — if every AI decision fails, the run falls back to rule-based decisions, still finishes, and still produces a report.

FAQ

What exactly does IMOZURU automate?

The investigation loop an analyst runs by hand: choosing the next address to follow from a scan result, abandoning dead ends, and writing the trail up as a report. It runs that loop autonomously from a single input, rather than executing one detection rule.

Which plan includes it, and how is scan quota consumed?

IMOZURU is available on the Business plan and above. Each scan the investigation performs consumes one unit of your monthly scan quota, and scans that error or time out are not charged. An investigation cannot start when no quota remains.

How far should I trust findings marked estimated?

An estimated finding is a synthesis of circumstantial evidence, not an assertion — treat it as a starting point for verification. Findings based on direct observation are labelled confirmed, and the confidence score is an internal measure of signal strength, not a probability.

Why does the trace stop at exchanges and DEX routers?

Expanding hubs of that size would flood the investigation with unrelated traffic. Note that a DEX router is not a party you can serve a KYC inquiry on — the trace has to continue from the output that leaves the router.

Is the network value figure the total damage?

No. All three measures are lower bounds computed only from observed transactions, and observed edge flow in particular double-counts funds crossing multiple hops. USD figures are approximate conversions at the time of the investigation.

Is the investigation guaranteed to finish?

Yes. Exploration is bounded by a time budget, a hop limit, and a scan limit at the same time, and individual operations carry timeouts. If every AI decision fails, the run falls back to rule-based decisions, finishes, and produces a report.

Patents

We have filed four patent applications covering insider-trading detection via pre-disclosure window analysis, the ML decision gate, and cross-chain fund tracing / common-operator inference. All four were filed in July–August 2026 and are pending examination.

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