We value your privacy
We use cookies to improve your browsing experience. By clicking “Accept,” you consent to our use of cookies. You can change your choice at any time via “Cookie settings” in the footer. Read our Privacy policy.

Pyth · Publisher

Blocksize on Pyth

Crypto prices from 9,000+ pairs across 70+ exchanges, tested against Pyth's consensus with every update.

  • 9,000+pairs
  • 99.99%node uptime
  • 0slashing events

What we run on Pyth

  • Publisher
  • Publishing infrastructure
  • Governance votes

Pyth at a glance · from today's FAQ

The network

What is the Pyth Network?

The Pyth Network is a decentralized, first-party oracle that brings real-time market data on-chain. Instead of relying on middlemen to relay prices, Pyth sources data directly from the institutions that create it: exchanges, market makers, and trading firms publish their own prices straight to the network. Those sources are aggregated into a single price per asset and made available to applications across more than 100 blockchains, powering lending, derivatives, and trading.

hover to read
Its model

Why first-party data matters

A price feed is only as trustworthy as its sources. By taking data directly from the firms at the center of global markets, Pyth removes the intermediaries where errors and manipulation usually creep in. Each publisher contributes its own data transparently and is individually accountable for quality, so the network is only as strong as the publishers behind it.

hover to read
Our role

Blocksize on Pyth

Blocksize is a first-party data publisher on the Pyth Network. We publish our own aggregated, real-time crypto market data directly to Pyth, the same feed we deliver to customers off-chain. And we publish it accurately: Blocksize is among the lowest-deviation publishers on the network, meaning our prices track the true market more tightly than almost any other source. Accuracy you can verified.

 

hover to read

01 Created

Built from the whole market.

  • Real-time aggregationLiquidity is scattered. Prices are aggregated between 70+ exchanges live.
  • Outlier detectionIndividual trades are filtered using confidence intervals.
  • Dynamic sourceMarkets that show sustained drift, staleness, or unreliable volume are dynamically excluded.
  • Contingency logicWe have clearly defined rules in place to address rare situations where data is delayed or missing.
  • Governance by designAll methodology rules are overseen by the Blocksize Data Committee.

02 Pushed

Our node, our endpoints.

Blocksize publisher → Pyth Core routers → signed aggregate, pulled on-chain.

03 Checked · Router aggregate

Tested by consensus, every update.

Our price and confidence go to the routers; the aggregate needs 3 of 5 router signatures.

Our accuracy is not a claim we make. Pyth measures it each time we submit.

4 layers, trade to chain

From a trade on 70+ exchanges to Pyth's consensus.

01 · Exchanges

Trades and quotes from 70+ venues. Liquidity is scattered; no venue alone is the market.

02 · Aggregation

9,000+ pairs, outliers filtered, drifting venues down-weighted, rules under the Data Committee.

03 · Publisher

Signs our price and confidence and submits them to Pyth.

04 · Router aggregate

Routers combine all publishers; the aggregate needs 3 of 5 router signatures.

Why it matters to Pyth

What vertical integration gives a network.

Accuracy

No hand-offs between trade and chain

The price leaves our aggregation and reaches the network through our own nodes. Nothing in between can round, delay or replace it.

Tested in public

Every update meets consensus

Each submission is compared with the other sources before it counts. Our accuracy is measured by the network, update after update, not by us.

Security

Fewer parties in the path

Own publisher nodes, own RPC endpoints, own keys. A shorter path has fewer places to attack and fewer parties to trust.

Liveness

One team watches every layer

Exchange outages are absorbed in aggregation; node and RPC failover is ours. The status log shows every minute.

Accountability

One name on every layer

If a value is wrong, it is ours at every step, and networks penalise bad data. Incentives point one way.

Diversity

An independent operator

A first-party source with its own aggregation and infrastructure adds an independent voice to each network's consensus.

Behind the Node

Pyth Network FAQs

From validator performance to compliance and infrastructure standards, here’s how we safeguard institutional access to the Pyth network.

If any part of your portfolio touches DeFi, on-chain derivatives or lending protocols, the prices behind those positions are set by oracle consensus. Liquidations, settlements and margin calls on-chain follow the oracle price, whatever one exchange shows. Blocksize delivers those oracle-grade prices off-chain into your systems, so your risk models match what smart contracts act on. Download our Whitepaper to learn more.

Group 36(2)

Our feeds are validated across eight leading oracle networks, which together secure around 75% of all value secured by oracles, and delivered off-chain to institutional systems. Compliance, risk and trading teams receive the same oracle-grade prices that govern DeFi smart contracts.

Group 36(1)

As a first-party oracle data publisher, every price update we produce is independently verified by multiple node operators across decentralized oracle networks like Chainlink, Pyth, and RedStone. Submissions that deviate from consensus are rejected, and operators providing inaccurate data face financial penalties. This creates continuous, real-time quality enforcement in every single block.

Computer Illustration

A single exchange only shows its own order book, which can drift from the real market: on even the most liquid pair, only about 25% of a top exchange's quotes sit within the true multi-venue fair value, and during stress a venue can diverge by 10 basis points or more. Listing sites like CoinGecko show a reference average, not a real-time, validated feed you can build on. We aggregate across 70+ venues in real time, filter outliers, and down-weight drifting sources, so you get the consensus price the whole market agrees on, not one venue's version of it.

Building Illustration

For Pyth teams

Add Blocksize as a source.