Liquidity risk intelligence for Stellar

A price is only as credible as the liquidity behind it.

Keel measures executable market depth, estimates how costly it is to move a market, and surfaces collateral risk before thin liquidity is treated like deep liquidity.

Read-onlyOpen methodologyNo wallet connection
Market depth profileIllustrative view
Two market depth profiles at the same quoted priceThe deep market keeps more executable volume across the two, five, and ten percent thresholds. The thin market drops sharply near the quoted price.0%5%10%10m0same quoted pricedeep marketthin market

The missing measurement

Price is not liquidity.

A market can print a price with very little executable depth behind it. For lending and collateral decisions, the question is not only what the price is, but how much can actually trade near it.

Asset A

Deep market
Quoted price10
5% executable depth500,000 XLM

Asset B

Thin market
Quoted price10
5% executable depth800 XLM

Same quoted price. Very different collateral risk.

The evidence layer

What Keel measures

The output is designed for inspection. Each measure keeps its unit, source, and uncertainty close to the conclusion.

01

Effective liquidity depth

Measure quote-asset value that can trade before the market moves by ±2%, ±5%, and ±10%.

BUY + SELL · QUOTE ASSET
02

Manipulation resistance

Estimate the notional needed to reach defined price targets, together with whether each target is reachable.

COST + REACHABILITY
03

Maximum safe collateral

Surface a conservative collateral recommendation derived from executable depth and manipulation constraints.

CONSERVATIVE RECOMMENDATION
04

Supporting risk signals

Keep spread, source divergence, genuine activity, and holder concentration in view where data is available.

PROVENANCE AWARE

From market to finding

A clear path from observation to evidence.

Keel keeps the chain visible without asking visitors to decode blockchain internals first.

01

Observe the market

Keel reads Stellar market data from SDEX, AMMs, and supporting observations.

02

Apply the methodology

Depth, manipulation, collateral, and rule-based flags turn observations into findings.

03

Publish evidence

Results stay inspectable through the dashboard, API material, and historical case studies.

Risk, with its working shown

No mystery score. Every flag can be inspected.

Keel uses rule-based bands rather than an unexplained weighted score. The finding comes first, then the triggered checks, the checks that could not be evaluated, and the provenance behind the result.

Partial data never means clear data.
Asset findingCritical
TriggeredZero executable depth within 2%Manipulation target is reachable at low cost
Not evaluatedHolder concentration

Partial data never means clear data. Every result keeps the checks that could not be evaluated visible.

Historical evidence

A known incident, replayed as evidence.

The February 2026 USTRY/Blend incident is Keel's primary historical test case. The case study asks whether market-depth and manipulation metrics would have exposed structural risk before a quoted price was treated as large collateral value.

Open the case study
Before the incident

Quoted value looks available.

Price visibility alone does not show how much volume can trade near that quote.

Market evidence

Depth and reachability add context.

Executable depth and manipulation cost make structural weakness legible as evidence.

22 February 2026 · incident marker

USTRY / Blend incident.

The historical page documents what the data can support, plus the limits of the reconstruction.

A product built to be checked

The evidence stays close to the claim.

01 · Provenance

Traceable

Results carry ledger sequence, methodology version, timestamps, and data source.

03 · Boundary

Read-only

Keel never signs or submits a Stellar transaction. It reports evidence for people to inspect.

View the API contract

See the market behind the price.

Start with the monitored assets, then follow the evidence into methodology and historical context.