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What is Pi Network’s Stellar Consensus Protocol?

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How Pi Network uses Stellar Consensus Protocol, detailing Federated Byzantine Agreement, trust graphs, node roles, guarantees, and more.

UC Hope

January 20, 2026

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Pi Network’s Stellar Consensus Protocol has been a topic that many publications have covered in the past. However, do many still have the best understanding of what it actually means, with several pioneers viewing it as the protocol’s blockchain consensus mechanism? The short answer is that Pi Network does not run a novel consensus system of its own. 

Its blockchain uses an adapted version of the Stellar Consensus Protocol (SCP), which is based on a formally defined model called the Federated Byzantine Agreement (FBA). The longer and more important answer lies in how SCP works, why it differs from proof-of-work and proof-of-stake, and how Pi Network modifies it to support a mobile-first, identity-driven network.

This article explains the technology from first principles. It focuses on how consensus is reached, what guarantees SCP provides, and where Pi Network’s implementation diverges from Stellar’s original design. As always, the goal is to clarify the mechanics, not to promote outcomes or speculate about its significance for the Pi Blockchain in 2026 and beyond.

Foundations of Stellar Consensus Protocol and Federated Byzantine Agreement

As we already established, Pi Network’s consensus mechanism is based on the Stellar blockchain's SCP, introduced in 2015. SCP was designed by Stanford computer scientist David Mazières and implemented on the Stellar network. Rather than relying on mining or economic stakes, SCP uses an agreement among nodes that explicitly determines who they trust.

At the core of SCP is the FBA. Traditional Byzantine Fault Tolerance systems, such as PBFT, assume a fixed list of validators. That assumption limits openness and makes global participation difficult. FBA removes the fixed membership requirement. Each node independently selects its own quorum slices, which are subsets of other nodes it considers sufficient to reach agreement. A quorum is a set of nodes where every member has at least one quorum slice entirely contained within that set. 

Consensus emerges when these slices overlap enough to form quorums. Safety depends on quorum intersection, meaning that any two quorums must share at least one honest node. Liveness depends on the network’s ability to form quorums even when some nodes fail.

This model allows open participation while still tolerating Byzantine faults. In practice, SCP can handle arbitrary faulty behavior as long as quorum intersection holds after faulty nodes are removed.

Core principles of FBA and SCP

Federated Byzantine Agreement generalizes classical Byzantine fault tolerance without assuming a fixed validator set. Each node defines trust locally rather than inheriting it from a global rule.

First is quorum slicing. Nodes decide for themselves which other nodes they rely on. These slices are not uniform across the network. They reflect social, organizational, or operational trust.

Second is quorum intersection. For the protocol to be safe, all quorums that can form must intersect, even after removing faulty nodes. If the intersection fails, the network risks conflicting decisions.

Third is the concept of intact and befouled nodes. Intact nodes are those that can still function correctly after faulty nodes are removed. Befouled nodes are technically honest but depend on faulty nodes for progress and therefore lose liveness.

Fourth is dispensable sets. The SCP formal model defines sets of nodes that can be removed while preserving quorum intersection and availability. This allows the protocol to reason precisely about failure tolerance without a hard numerical threshold

Together, these properties give SCP what its designers call optimal safety. Agreement is guaranteed whenever it is theoretically possible under asynchronous network conditions.

How SCP reaches consensus

SCP reaches an agreement in two distinct phases for each slot, where a slot represents a block or transaction set.

The nomination phase selects a candidate value. Nodes nominate transaction sets using federated voting. To avoid chaos, nominations are prioritized using cryptographic hash functions. Over time, intact nodes converge on the same composite value, typically a union of valid transactions.

Once nomination converges, the protocol moves to the balloting phase. Here, nodes vote on ballots defined as a counter and a value. The counter increases if progress stalls. Nodes go through prepare, commit, and externalize steps. A value is externalized when a quorum confirms it, making the decision final.

All messages are signed with cryptographic keys. Hash functions are used both for prioritization and for combining values. These mechanisms prevent forgery and replay attacks.

In production networks, SCP typically reaches finality within 3 to 5 seconds. There is no probabilistic settlement window, as in proof-of-work. Once a value is externalized, it cannot be reversed without violating quorum intersection.

Comparison with other consensus mechanisms

SCP differs fundamentally from proof of work and proof of stake.

Proof-of-work relies on computational power and assumes that a majority of hash power is honest. Finality is probabilistic, and energy consumption is high.

Proof-of-stake relies on economic stake. Agreement depends on assumptions about rational behavior and capital distribution.

By contrast, SCP relies on explicit trust relationships. It does not burn energy and does not weigh influence by stake size. Fault tolerance is determined by quorum structure rather than token ownership. This makes SCP suitable for networks that prioritize low latency and predictable finality.

How Pi Network adapts SCP

Pi Network did not invent a new consensus protocol. It adapts SCP to support a large population of individual users rather than a small group of institutional validators. The project builds on Stellar’s open-source code while modifying how trust is established and participation is rewarded.

The most visible adaptation is the use of security circles. Users are encouraged to add three to five trusted contacts. These circles aggregate into a global trust graph. Nodes use this graph to inform their quorum slice configuration.

The intent is to anchor trust in real human relationships rather than in institutions. Identity verification through know-your-customer processes helps reduce sybil attacks. In this model, trust flows from verified individuals through social connections.

Pi Network also defines multiple participant roles. Pioneers are regular app users who check in daily. Contributors strengthen the trust graph by adding contacts. Ambassadors recruit new users. Nodes run SCP software on desktops or laptops and participate directly in consensus. Some nodes operate with open ports and higher availability, increasing their influence in quorum formation.

Mining in Pi Network is not mining in the proof-of-work sense. It is a scheduled distribution process coordinated by SCP. Rewards are allocated based on role, activity, uptime, and trust contributions. There are no mining pools and no competitive computation.

Transaction processing and performance

Transactions in Pi Network are submitted through mobile applications and forwarded to nodes. Nodes validate signatures and transaction history before including transactions in nomination sets.

Consensus messages are lightweight and exchanged over standard networking. Blocks are produced roughly every five seconds. Early network targets have ranged from hundreds to low thousands of transactions per second, depending on node participation and message overhead.

Transaction fees primarily serve as a prioritization mechanism rather than a revenue source. The protocol’s efficiency comes from the absence of mining and from the small message sizes required for federated voting.

Security properties and guarantees

From a technical perspective, Pi Network inherits SCP’s core security guarantees. These include deterministic finality, resistance to Byzantine faults under quorum intersection, and cryptographic integrity of messages.

The additional social layer introduces new tradeoffs. Security circles and KYC processes can reduce the prevalence of fake accounts, but they also create dependencies on verification systems and the structure of the trust graph. If trust becomes overly centralized or if many users rely on a small set of nodes, quorum intersection could be weakened.

SCP itself does not require trust to be global or uniform. Its safety depends on configuration choices made by node operators. This places responsibility on the network to encourage diverse and well-connected slices.

Limitations and criticisms

Several criticisms of Pi Network’s consensus implementation focus on decentralization and scale.

In early phases, a limited number of core nodes have played a significant role in maintaining quorum intersection. This creates perceptions of central control, even if the underlying protocol supports decentralization.

Scalability is another concern. As the number of nodes grows, message complexity increases. SCP has been proven in production on Stellar, but Pi Network’s emphasis on individually operated nodes introduces variability in uptime and connectivity.

Conclusion

Pi Network’s use of the Stellar Consensus Protocol represents an attempt to apply a well-studied consensus model to a mass market, mobile-oriented environment. SCP provides fast finality, low energy use, and formal safety guarantees through Federated Byzantine Agreement. Pi Network extends this framework by embedding social trust and identity verification into quorum formation and reward distribution.

The result is a system that prioritizes accessibility and human participation while relying on established consensus research. Its strengths and weaknesses are rooted not in untested cryptography but in configuration choices, network incentives, and governance. Understanding these mechanics is essential for evaluating Pi Network on technical grounds rather than on speculation or marketing narratives.

Sources:

Frequently Asked Questions

Is Pi Network using a custom consensus algorithm

No. Pi Network uses an adapted implementation of the Stellar Consensus Protocol, which is based on Federated Byzantine Agreement.

Does Pi Network rely on proof of work or proof of stake

No. SCP does not use mining or staking. Consensus is reached through federated voting among nodes that choose their own trusted quorum slices.

How fast is transaction finality on Pi Network

Under normal conditions, SCP based networks reach finality in approximately three to five seconds, with decisions becoming irreversible once externalized.

Disclaimer

Disclaimer: The views expressed in this article do not necessarily represent the views of BSCN. The information provided in this article is for educational and entertainment purposes only and should not be construed as investment advice, or advice of any kind. BSCN assumes no responsibility for any investment decisions made based on the information provided in this article. If you believe that the article should be amended, please reach out to the BSCN team by emailing [email protected].

Author

UC Hope

UC holds a bachelor’s degree in Physics and has been a crypto researcher since 2020. UC was a professional writer before entering the cryptocurrency industry, but was drawn to blockchain technology by its high potential. UC has written for the likes of Cryptopolitan, as well as BSCN. He has a wide area of expertise, covering centralized and decentralized finance, as well as altcoins.

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