You Don't Know
What You're Missing.
Until the Agent Tells You.
Three weeks ago, 40 of your 200 members went quiet. Your last payout batch has 12 requests open 6 days. Your token dropped 18% this week. None of this showed up in your dashboard. That's what the agent was built to close.
What You Don't Know Is Already Costing You
You built the club. You ran the incentives. None of this shows up in your dashboard. You find out when renewal rates crater or when someone messages "hey what happened to my reward." Why standard metrics miss what matters →
Members go quiet
"40 of your 200 members went quiet 3 weeks ago. Nothing told you."
Payouts silently stall
"12 requests open 6 days. Members didn't complain — they just decided not to renew."
The market moves first
"Token down 18%. Your best members were active in two other clubs. Not yours."
29 Dimensions. One Agent.
Every signal is computed from real on-chain and off-chain activity across your club. Runs every 12 hours. Push alerts when thresholds breach. No subscriptions, no accounts for external callers.
What the Agent Actually Catches
Every 12 hours. Specific numbers. Actionable before the situation becomes a crisis.
- ✓ Scores every member individually, not as an average
- ✓ Scores each member on behavioral and on-chain inputs
- ✓ You get the member list, not just the number
- ✗ Won't surface this after they've already left
- ✓ D7 and D30 tracked as separate cohorts
- ✓ Catches contraction even while total member count grows
- ✗ Member count alone will not show this
- ✓ Runway = contract balance ÷ 30d payout run rate
- ✓ Critical alert at 30 days, warning at 90
- ✓ Fires before the first missed payout
- ✗ A missed payout does not recover in the same cycle
- ✓ K > 1.2: club grows without intervention
- ✓ Tracks referral initiation and conversion separately
- ✗ K < 0.5 is a reward structure problem, not a content problem
Expected impact: 15–25pt improvement in D7 retention if first-week completion event is added.
34-day runway requires action within 2 weeks.
Target members inactive 10–21 days before they pass the point of no return.
Where the Agent Changes the Decision
Every club type has a different set of unknowns. Here's what the agent surfaces for each — before you commit, not after.
Private Investment Clubs
The Blind Spot
Members stake $10K–$100K+ and expect transparent governance, automated distributions, and auditable records. But without visibility into actual participation rates and payout reliability, trust erodes silently. Governance participation drops. Capital calls are met with silence.
What the Agent Tells You
Is the governance oracle completing votes reliably? Are distributions settling within 48h? What % of proposals reach consensus? How does your club rank vs peers? These four signals answer the questions your investors are quietly asking.
High-Value Referral Networks
The Blind Spot
A referral network only works if members are genuinely active and aligned. Reputation is invisible. You can see who staked — but not who's actually engaged, who's losing interest, or whether the network has reached the critical mass needed to generate value.
What the Agent Tells You
What % of staked members are actively participating? Are new members aligned with the network's focus? Is the onboarding journey completing or stalling? Query before inviting your next high-value member.
Supplier Commitment Networks
The Blind Spot
Stakes create accountability — but only if you can see when commitments are at risk before they fail. Manual monitoring doesn't scale. By the time a supplier's reliability pattern is visible, you've already absorbed the cost.
What the Agent Tells You
Are penalty/reward settlements getting stuck? What's the form submission quality rate — the proxy for commitment accuracy? Is the oracle verifying deliveries consistently? Early warning before breach, not after.
Talent & Creator Collectives
The Blind Spot
Creator collectives live and die by momentum. A drop in engagement velocity is a leading indicator of collective dissolution — but it's invisible until one high-value member exits and the rest follow. Revenue splits feel transparent until they don't.
What the Agent Tells You
Is weekly activity trending up or collapsing? Are your members on-chain native enough to meaningfully participate in on-chain governance? The agent tells you before the cracks become exits.
The Hard Parts. Now Visible.
Club economies aren't plug-and-play. But every friction point leaves a data trace. The agent reads those traces — so you're never navigating blind.
Getting your first 100 members to stake
Most people have never staked anything. Trust starts at zero. You're asking for real money on an unfamiliar concept.
Agent answers
Are new members completing the onboarding journey? Is growth accelerating or plateauing after your first push?
Connecting your existing tools to on-chain contracts
Legacy systems weren't built for blockchain. One integration failure breaks the whole experience and erodes trust instantly.
Agent answers
Are oracle verifications completing successfully? What's the AI call completion rate — the direct proxy for integration health?
Making sure rewards don't bankrupt the treasury
Generous early rewards create expectations you can't sustain. Forfeiture rates are unpredictable. Treasury drain is invisible until it's critical.
Agent answers
What percentage of reward transactions are pending beyond 48h? What fraction of rewards are at risk of expiring without redemption?
Keeping members engaged after initial excitement fades
Stakes lock funds but not attention. Members go passive. Governance participation drops. You've optimised for staking but not for staying.
Agent answers
Is your WAU/MAU ratio trending up or down? Are active members completing journeys or dropping off mid-way?
Going from pilot to thousands of members
What worked for 500 members fails at 5,000. Patterns that were manageable become systemic. You need to know before the cracks become breaks.
Agent answers
Where do you rank against all other clubs on the platform? What's your percentile across every dimension — before and after scaling?
7 Capabilities. 3 Are Ours Alone.
The three gaps below don't exist on any of the eight competing platforms we evaluated.
Prices are sourced from both Hyperliquid and CoinGecko simultaneously. Every signal is built on a price that has already passed a second opinion — 0.1% average divergence across all assets.
Every query returns a live Grade A quality score alongside the signal values. You know the confidence level of the data before you act on it — not after something goes wrong.
Signal weights update based on realized win-rate outcomes. Competitors ship static models and leave calibration to you. This system corrects itself with every completed cycle.
| Capability | This System | Best Competitor |
|---|---|---|
| HL-native OHLCVPrice candle data sourced directly from Hyperliquid | 30-min sync cycle | Katoshi AI — HL API, no dual-source |
| Pre-computed TA indicatorsTechnical indicators delivered ready-to-use | RSI · MACD · BB · ATR · EMA | Katoshi AI — 17 indicators |
| L2 order book imbalance signalPre-computed directional pressure score | −1 to +1 pre-computed | Dwellir — raw snapshots only |
| Autonomous HL DEX executionTrades placed directly on Hyperliquid | Native execution | Katoshi AI, goodcryptoX |
| Dual-source cross-price validation Only usHL + CoinGecko agreement check on every price | HL + CG · 0.1% avg spread// second-opinion before every signal | None found |
| Live data quality scorecard Only usPer-query confidence score delivered with the signal | 97.9 / 100 · Grade A// included in every response | None found |
| Signal self-calibration loop Only usWin rate feedback updates signal weights automatically | Win rate feedback loop// model corrects with each cycle | None found |
No Subscriptions. No Accounts.
Pay USDC on Base mainnet. Continuous monitoring for your own club runs automatically. The pricing below is for external callers: investors, other operators, AI agents querying via x402.
- USER_ENGAGEMENT
- MARKET_POTENTIAL
- ENGAGEMENT_VELOCITY
- ONCHAIN_ACTIVITY
- CROSS_BENCHMARK
- All 29 signal dimensions
- AI synthesis summary
- On-chain wallet intelligence
- Financial health breakdown
- Async delivery via A2A task
- All 29 signals + AI synthesis
- Churn prediction numbers
- unit1440 market intelligence
- Asset regime classification
- Smart money accumulation signal
- Up to 10 clubs compared
- Every signal for every club
- AI-generated ranking report
- Retention, viral coefficient rank
- Risk profile + opportunity score
Agent card: api.getfexr.com/.well-known/agent.json
Set Up Alerts in 60 Seconds
Point a webhook at your Slack, Discord, or backend. Alerts fire when thresholds breach. Duplicate suppression built in.
{
"webhook_url": "https://your-endpoint.com/alerts",
"signal_types": [
"CHURN_PREDICTION",
"AI_RISK_SCORE",
"TREASURY_HEALTH"
],
"threshold_config": {
"CHURN_PREDICTION": { "gt": 25 },
"AI_RISK_SCORE": { "gt": 70 },
"TREASURY_HEALTH": { "lt": 30 }
}
}
Read your signal state
The first endpoint returns your current signal snapshot with week-over-week change. The second returns the AI synthesis block directly. The third shows how any single metric has moved over the last 30 days.
The agent runs. You get the alerts.
Set your thresholds once. No dashboards to check. External callers: send USDC, get signals — no account needed.

