You operate a DAO treasury and want an agent that reallocates idle stablecoins toward the best risk-adjusted yield, subject to mandate constraints. Alterscope provides the data and the signals; the agent makes the call; your existing executor signs the transaction.
Alterscope does not execute transactions on your behalf. This recipe ends at the decision; the actual write to chain is your codebase.
What you build
A loop that, on each tick or on each vault.cap.changed event:
- Pulls the candidate opportunity universe.
- Scores each candidate against the current portfolio.
- Picks the top reallocation that satisfies your mandate.
- Emits a signed proposal to your executor.
1. Discover candidates
from alterscope import AlterscopeClient
client = AlterscopeClient(api_key="sk_live_...")
candidates = client.yield_opportunities.list(
asset=["USDC", "USDT", "DAI"],
chain=["ethereum", "base", "arbitrum"],
risk_band=[1, 2],
min_tvl_usd=10_000_000,
sort_by="net_apy",
order="desc",
limit=25,
)
2. Score each candidate against the current book
current = load_treasury_positions()
best = None
best_delta = 0
for c in candidates.data:
proposed = current + [{"opportunity_id": c.id, "notional_usd": 1_000_000}]
analysis = client.portfolio.analyze(positions=proposed, include_scenarios=True)
if analysis.risk.band > 2:
continue
delta = analysis.expected_apy_net - current_apy_net
if delta > best_delta:
best_delta = delta
best = (c, analysis)
3. Apply mandate constraints
Encode your policy as code, not as prose. Common constraints:
- Per-protocol cap: no more than 30% of treasury in a single protocol.
- Oracle-provider cap: no more than 50% of treasury behind a single oracle provider.
- Reject any candidate whose
meta._agentic.freshness.status is not fresh.
- Reject any candidate whose
risk.dominant_factors[0] is oracle.stale_risk or peg.deviation.
def passes_mandate(candidate, analysis, current) -> bool:
if analysis.meta._agentic.freshness.status != "fresh":
return False
if analysis.risk.dominant_factors[0].name in ("oracle.stale_risk", "peg.deviation"):
return False
return concentration_ok(current, candidate)
4. Emit a signed proposal
if best and passes_mandate(*best, current):
candidate, analysis = best
proposal = sign_proposal({
"from": "treasury_idle_usdc",
"to": candidate.id,
"notional_usd": 1_000_000,
"expected_apy_net": analysis.expected_apy_net,
"rationale": analysis.risk.dominant_factors,
"as_of_block": analysis.meta._agentic.freshness.as_of_block,
})
submit_to_executor(proposal)
5. Audit trail
Log every decision, including the ones that were rejected and why. The request_id in meta.request_id ties the proposal to the exact API responses that produced it.
6. Tier requirements
Factor attribution and stress scenarios require the Analyst tier or higher (the read:yield:detail scope). WebSocket triggers (a tighter feedback loop than polling) also require the Analyst tier or higher. Custom factors and per-route uplift require Enterprise. 
