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Reppo Surges, Hits $20M Market Cap Post Kraken Listing

By WebDeskApril 24, 20264 Mins Read
Reppo Surges, Hits M Market Cap Post Kraken Listing
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  • REPPO surged over 40% in 24 hours, and briefly pushed its market cap above $20 million before stabilizing near $18.5 million.
  • A $20 million funding commitment from Bolts Capital boosted confidence in the project.
  • The crypto gained further momentum after its listing on Kraken and rising social buzz, though analysts caution about short-term volatility and possible price corrections.

Reppo, which is Base protocol’s native token, has seen a sharp surge in recent trading, after it briefly pushed its market cap above $20 million before retreating back. The decision came after fresh funding news and its listing on Kraken.

Market tracking data shows that REPPO picked up pace in late-night trading and continued through the morning session. The crypto crossed the $20 million market cap mark when it was at its peak. Then it corrected but was still sitting close to $18.5 million. From an economic perspective, the token price has risen by more than 40% over the past 24 hours, with trading frequency amounting to around $1.1m in this period.

Reppo Surges Amid Listing on Kraken and Fresh Funding

The rally seemed to fit in with a huge funding announcement. The Reppo Foundation confirmed a $20m strategic commitment from Bolts Capital. The funds are aimed to support the next phase of development for its protocol for prediction markets based on AI data. 

Now live: $REPPO@reppo uses prediction markets to power AI data curation. Publishers submit data and domain experts stake $REPPO to assess quality within Datanets, programmable on-chain markets for any AI use case.

Start trading today → https://t.co/j4zAJoRPEE pic.twitter.com/P5bITzVLeJ

— Kraken Listings (@krakenlistings) April 23, 2026

 As a consequence, traders moved in, driving prices up with speed during a short period of time. At the same time, REPPO has gained great visibility within the Base ecosystem. This has become a hot topic within AI crypto tokens and has attracted interest from retail traders. This has been aided by an unprecedented rise in trading activity. In some sessions, volume went up by over 90%, indicating strong participation from buyers.

The listing of REPPO on Kraken has also added to the hype. The exchange highlighted the project’s focus on using prediction markets for AI data curation. In a post, it noted: “$REPPO uses prediction markets to power AI data curation. Publishers submit data and domain experts stake $REPPO to assess quality within Datanets, programmable on-chain markets for any AI use case.”

Technically, analysts are watching the $0.018 level closely. This level has acted as a base for the recent upward move. If the token holds above it, there is potential for another push toward the $0.025 range. A break below this zone may lead to a pullback toward $0.015, especially after such a steep jump in a short period.

REPPO seems to be moving independently of the global crypto market (currently down by 0.3%), which is relatively flat. This divergence shows how project-specific developments can drive sharp price action, even when overall market conditions are quiet.

Reppo’s long-term narrative is fixed on the use of prediction markets for AI training data. The idea of the project is to create a system where domain experts help validate and refine datasets through market-based mechanisms. This approach aims to improve the quality of data used in AI models.

Reppo Labs Co-founder RG shared the broader vision behind the project. He said, “Prediction markets TAM is expected to reach $1 trillion annual trading volume by the end of the decade. Our core thesis is that prediction markets will grow beyond betting on sports and world events. We are already seeing Information markets, Opinion markets, and more.”

He added, “We are thrilled to pioneer AI Training Data markets using crypto primitives. Most AI labs are spending a lot on sourcing domain experts as human data continues to be extremely valuable for AI training, providing on-demand feedback to agents and robots in the real world.”

 


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