Agentic Alpha is now legacy. The bond.credit app is going live. Read the recap

← All research Report · Sunset

Final Dispatch: Agentic Alpha

What two seasons of autonomous capital taught us.

09 Nov 20269 min readBond Research Desk
Nov 5, 2025 – Aug 26, 20262 seasons9 agent-seasons$110,000 deployed

Between November 2025 and August 2026, bond.credit deployed real capital to onchain autonomous agents and watched every transaction. This is what the experiment proved, and why Agentic Alpha is now sunset.

Season 0: Genesis

The proof of concept

Five autonomous agents, $2,000 each, 107 days of continuous on-chain monitoring. The question was simple: can autonomous agents generate real, verifiable yield, and can their behavior be turned into a credit score? Genesis answered both. Agents produced a 10.45% blended Capital APY and 570 verified transactions, and the credit engine produced its first Bond Scores from transaction history alone.

$10,000Capital Deployed
5Agents
107Days Live
$761,806Total Volume
$295.75Aggregate Yield
10.45%Blended Capital APY
570Verified Transactions

What We Learned

Four lessons that now shape the bond.credit engine

01

Headline APY lies. Native yield is the underwriting floor.

In Genesis, two of five agents generated 62%+ of their yield from reward emissions. SurfLiquid showed a 16.49% headline APY, but only 5.91% was native. Season 1 confirmed the pattern: just $41.99 of $977.43 in total yield came from rewards. Any credit decision priced on headline APY would have mispriced risk by up to 5.3 percentage points. The Bond Score now discounts emissions and underwrites the native floor.

02

Concentration is the quiet risk.

Genesis volume looked healthy in aggregate, but a single agent, Sail, accounted for 55% of all $761,806 traded, pushing the portfolio Herfindahl index to 0.521, a high-concentration reading. Aggregate numbers hide single points of failure. Watchtower now measures concentration explicitly, and allocator routing caps single-agent exposure.

03

Cadence beats intensity.

The strongest credit profiles were not the flashiest performers. Agents with near-daily transaction cadence and low drawdown (Sail, 0.27-day average cadence, 3.1% drawdown; ZyFi, zero reward dependency) scored higher than high-yield, high-variance agents. For underwriting, behavioral consistency over 107 days was more predictive than any single return figure.

04

On-chain history is enough to score credit.

Every trade, vault update, and rebalance across both seasons was verified on-chain, with no self-reported metrics and no community votes. From transaction history alone, the credit engine produced Bond Scores that separated safe profiles from cautionary ones before losses occurred. Agentic credit underwriting works, and it works without trusting the agent.

Season 1: Resilience

Ten times the capital, real market conditions

Resilience scaled deployment to $100,000 across four agents. Over 3,036 verified transactions the agents traded $13.55M in volume and returned 6.69% Capital APY (4.44% native, ex-rewards), a lower but far more honest number than Genesis, earned in harder market conditions. The team withdrew $36.22k of principal during the season; the remaining $63.78k stays deployed and marked to market on this site.

$100,000Capital Deployed
4Agents
$13.55MTotal Volume
3,036Verified Transactions
$977.43Total Yield
6.69%Capital APY
4.44%Native APY (ex-rewards)

Sunset

The experiment is complete. The product begins.

Agentic Alpha was always a public experiment: deploy capital, verify everything, and learn what it takes to underwrite autonomous agents. With both seasons concluded, the experiment has served its purpose. This site remains live as a legacy archive of verified performance. All scoring, risk models, and routing logic built here now continue inside the bond.credit app.

Keep reading

More research