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Crypto Trading Tools · OBOL rating

Kaiko review

The cleanest market data in the sector, sold exclusively to people who do not ask the price.

8.1/10
Strong
#8 of 15 crypto trading toolsChecked August 2026
The short answer

Kaiko is the accuracy benchmark this category is measured against: tick-level data with vetted venues, documented methodology and regulatory-grade reference rates. There is no self-serve pricing and no retail path, and consuming it requires engineering resource.

Best forInstitutional-grade market data feeds

Score breakdown

Category rubric →
  1. Data accuracyweight 25%
    9.5avg 8.1
  2. Feature depthweight 20%
    8.0avg 8.1
  3. Value for moneyweight 20%
    5.5avg 7.6
  4. Coverageweight 15%
    9.0avg 8.3
  5. Data handling & securityweight 10%
    9.5avg 8.2
  6. Usabilityweight 10%
    7.0avg 8.0

this service category average across 15Score = Σ mark × weight. Recommendable to most readers, with stated caveats. Methodology.

The evidence behind each mark

Scoring rules →
CriterionMarkWhat we foundSourceChecked
Data accuracy9.5not sourced yetnot sourced yet—
Feature depth8.0not sourced yetnot sourced yet—
Value for money5.5not sourced yetnot sourced yet—
Coverage9.0not sourced yetnot sourced yet—
Data handling & security9.5not sourced yetnot sourced yet—
Usability7.0not sourced yetnot sourced yet—

What we liked, and what fell short

Liked
  • Tick-level data with rigorous venue vetting and wash-trade filtering
  • Regulatory-grade benchmarks and reference rates
  • Deep historical archive across hundreds of venues
Fell short
  • No self-serve pricing and no retail path
  • Requires engineering resource to consume

Why the marks landed where they did

When a bank, an index provider or a regulator needs a crypto price they can defend, they buy it from a firm like Kaiko. That is a different product from a dashboard: the deliverable is auditable data with a documented construction, and the client's obligation is to be able to explain where their number came from.

What makes the data different

Venue vetting rather than blanket aggregation, wash-trade filtering, tick-level order book snapshots rather than sampled candles, and reference rates built to methodologies designed for benchmark use. Historical archives run back years across hundreds of venues with consistent schemas.

Why it is in this list

Not because readers will subscribe — they will not — but because it defines what accurate means here. When a free tool reports a volume figure several times higher than a vetted feed would, that gap is the tool's methodology, not the market's activity. Knowing the benchmark exists is what makes it possible to be sceptical of the free tier.

Practical access

Enterprise contracts, quoted per use case, requiring integration work. There is no meaningful individual path and no free tier of consequence.

Who should use Kaiko

Institutions with regulatory reporting, index construction or execution analysis requirements. Everyone else should read its published research, which is free and is a good education in how much of the sector's reported data is unreliable.

FAQ

Can individuals buy Kaiko data?
Not realistically. It sells enterprise contracts quoted per use case, with integration work required to consume the data.
Why is Kaiko's data considered more accurate?
It vets which venues to include, filters wash trading, and delivers tick-level data with documented methodology rather than aggregating exchange-reported figures uncritically.
What is a reference rate?
A benchmark price constructed to a published methodology, designed to be defensible for settlement, index or accounting purposes rather than merely indicative.
What is the free alternative?
There is no equivalent. For most purposes exchange APIs plus DefiLlama and Coinglass are sufficient, with the caveat that reported volume is unfiltered.