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NFT & AI Tools · OBOL rating

OpenSea Analytics review

Free stats attached to the largest listing venue, reported by a party with an interest in the numbers looking healthy.

7.4/10
Solid
#11 of 15 nft & ai toolsChecked August 2026
The short answer

For a quick look at a collection you are already viewing, OpenSea's built-in stats are free and sufficient for floor, volume and holder basics. They are first-party numbers with no published wash-trade filtering, from a venue that benefits from activity looking healthy.

Best forBaseline collection stats where most listings live

Score breakdown

Category rubric →
  1. Data accuracyweight 25%
    7.0avg 7.8
  2. Analytical usefulnessweight 20%
    6.0avg 7.4
  3. Value for moneyweight 20%
    9.0avg 8.1
  4. Coverageweight 20%
    9.0avg 7.8
  5. Method transparencyweight 15%
    5.5avg 7.1

this service category average across 15Score = Σ mark × weight. Works well for a specific use case, weaker outside it. Methodology.

The evidence behind each mark

Scoring rules →
CriterionMarkWhat we foundSourceChecked
Data accuracy7.0not sourced yetnot sourced yet—
Analytical usefulness6.0not sourced yetnot sourced yet—
Value for money9.0not sourced yetnot sourced yet—
Coverage9.0not sourced yetnot sourced yet—
Method transparency5.5not sourced yetnot sourced yet—

What we liked, and what fell short

Liked
  • Free and attached to the widest collection coverage
  • Adequate for floor, volume and holder basics
  • Well-integrated with the trading flow
Fell short
  • Volume figures are not filtered for wash trading
  • The venue reporting the metrics benefits from them looking strong

Why the marks landed where they did

OpenSea shows collection statistics alongside every listing: floor price, volume over various periods, owner count, listed percentage. For casual use that answers most questions without leaving the page.

The unfiltered volume problem

Volume figures are reported as transacted, with no published adjustment for wash trading. During periods when incentives made self-dealing profitable, that difference was enormous on some collections. A marketplace has an interest in its collections looking active, which is not an accusation of manipulation — it is a reason to cross-check anything material against CryptoSlam's adjusted figures.

What is genuinely useful

Owner count relative to supply, listed percentage and recent sale history are all reliable and immediately available. Listed percentage in particular is informative: a collection with 20% of supply listed is telling you something about holder conviction.

Cost and coverage

Free, covering every collection OpenSea lists, which is the widest coverage available.

Who should use it

Everyone, as a first look. Verify volume figures elsewhere before acting on them.

FAQ

Are OpenSea's volume statistics filtered for wash trading?
No published adjustment is applied, so figures reflect transacted volume including any self-dealing. Cross-check against CryptoSlam for adjusted numbers.
What is listed percentage and why does it matter?
The share of a collection's supply currently listed for sale. A high figure suggests holders want out, which is useful conviction data.
Is OpenSea Analytics free?
Yes, included with every collection page across the widest coverage of any marketplace.
Should I trust first-party marketplace data?
For factual items such as owner count and sale history, yes. For volume, cross-check — the venue benefits from activity appearing healthy.