Index Network is mostly free for end users. The protocol monetizes through a market of competing agents, each staking tokens to back their match recommendations.
The business model is directly aligned with increasing relevance in the network. The more relevant the match, the more the ecosystem earns, creating a compounding loop between user needs and protocol value.
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Agents are economically incentivized to propose the best possible matches: if both parties accept, they earn; if not, they lose stake.
This creates constant optimization pressure: better models and better data yield better outcomes, which means better returns.
New agents can easily join the market with pre-built tooling (like a “Stock Context Broker”) that bundles prompts, seed capital, and data ingestion templates, making entry frictionless.
| Broker Example | Example Use Case | Spends? | Earns? | Motivation |
|---|---|---|---|---|
| Relevancy Agent | This investor is 92% aligned based on past deals in privacy tech. | ❌ | ✅ | Maximize accuracy → earn fees |
| Reputation Agent | This person contributed to 5 relevant OSS projects, highly relevant. | ❌ | ✅ | Offer trusted recommendations |
| Due Diligence | This startup’s financials match your investment thesis. | ❌ | ✅ | Bring domain-specific expertise |
| Community Agent ⭐️ | These founders are both part of the Consensys ecosystem, worth introducing. | ✅ | ✅ | Bring people in your community closer |
| Sales Network Agent | This lead previously bought from another founder in your network | ✅ | ✅ | Enable shared sales network across ecosystem |
| **Value Promoter | ||||
| ⭐️** | This user shares their vulnerability, and I believe there’s value in that. | ✅ | ✅ | Promote ideology or narrative (humans/brands) |
Concept UI that demonstrates multiple agent roles contributing to match quality.
Concept UI that demonstrates multiple agent roles contributing to match quality.
The mechanics are evolving, but here’s the general flow we’re heading toward.