# Cambria’s presale: wallets with Ethos scores committed 66% more

Published 2026-03-02 by Ethos · https://www.ethos.network/post/cambria-presale-ethos-score-commitment

> In Cambria’s presale, 568 of 960 participants had Ethos scores, and those wallets committed 66% more on average than wallets without one.

In Cambria’s presale, wallets with an Ethos score committed **66% more** on average than wallets without one. Of **960** total participants, **568** had Ethos scores on file.

For any team running a token sale, that result speaks to a basic question: who are the wallets showing up, and which of them are the community members worth prioritizing? Cambria, a gaming project on Abstract, had already been using Ethos Human Verification for priority access. The presale data shows what happened when it weighted allocation by reputation.

## The allocation problem

Every team running a token sale faces the same dilemma. Without any signal about who is behind each wallet, teams either over-allocate to bad actors or under-allocate to their best community members.

Cambria’s approach was to add that signal using Ethos credibility scores, without building anything new.

## How Cambria used Ethos scores

Cambria pulled Ethos credibility scores through the free Ethos API and used them as a multiplier for allocation priority. Human Verified users received an additional bonus on top. According to the case study, no new infrastructure was needed: one API call per wallet gave an instant signal, and integration took minutes.

The process came down to three steps:

1.  **Score**: Cambria queried the Ethos API for each participating wallet’s credibility score. 568 of 960 participants had scores on file.
2.  **Weight**: credibility scores were used as a multiplier on allocation, with an additional bonus for Human Verified users. No manual review was needed.
3.  **Result**: wallets with Ethos scores committed 66% more on average.

## The data

Ethos describes the presale results as the first concrete proof that reputation data correlates directly with capital commitment. The participants split into two groups:

-   **With an Ethos score**: 568 wallets (59% of participants), with average commitment 66% above baseline
-   **Without an Ethos score**: 392 wallets (41% of participants), used as the baseline

The case study sums up the finding this way:

> “When you filter by reputation, you’re filtering for conviction.”

In other words, the wallets that had built a reputation on Ethos were also the ones that put more behind the project when the sale opened.

## How it compares with whitelists and KYC

The case study compares three ways of deciding who gets an allocation:

-   **Whitelist**: low sybil resistance, no conviction signal, privacy preserving, manual to run, days to set up, medium friction for users
-   **KYC gate**: medium sybil resistance, no conviction signal, not privacy preserving, a cost per user, weeks to set up, high friction for users
-   **Ethos score**: high sybil resistance, a conviction signal of +66% in Cambria’s presale, privacy preserving, a free API, minutes to set up, no added friction for users

## Other ways teams could use the same signal

The case study lists several other places where credibility scores could inform who gets access or priority:

-   **Airdrop distribution**: weight allocations toward users with established reputation
-   **Trading competitions**: gate leaderboards to verified, reputable participants
-   **Exclusive access**: offer perks, early access or reduced collateral to high-credibility users
-   **Community curation**: identify the most trusted supporters for ambassador and governance roles
-   **DeFi lending**: use credibility scores as a trust primitive for undercollateralized lending

## Cambria at a glance

-   **Category**: gaming
-   **Chain**: Abstract
-   **Participants**: 960, of whom 568 had Ethos scores
-   **Score used as**: an allocation multiplier
-   **Human Verified bonus**: yes
-   **API cost**: free
-   **Integration time**: minutes

*This article is adapted from the [Ethos case study](https://casestudies.ethos.network/cambria-presale).*