Pulling Market Signals from AgentDatum API to Gauge Asset Volatility and Sentiment

Description and use

The author leveraged the AgentDatum API catalog to pull market signals—gold’s high z‑score, calm equities, mildly greedy crypto, and optimistic but not overbought BTC holders—informing a cautious, small‑size strategy.

Problem

How to quickly assess market mood across gold, equities, crypto, and on-chain BTC using a single API catalog without manual documentation.

Outcome

The author obtained a real‑time snapshot showing gold highly stretched, equities calm, crypto mildly greedy, and BTC holders optimistic but not overbought. The approach highlighted that different assets can exhibit divergent moods, guiding a cautious, small‑size strategy.

Workflow

• 1. Fetch the catalog: curl -s https://agentdatum.com/.well-known/ai-catalog.json | python3 -m json.tool | head -n 20
• 2. Retrieve a specific signal (e.g., gold): curl -s https://agentdatum.com/api/v1/d/sig-gold
• 3. Parse JSON to extract metrics (z‑score, percentile, volatility, etc.).
• 4. Cross‑check related signals (VIX, crypto fear‑greed, MVRV, NUPL).
• 5. Note collected_at timestamps for freshness.
• 6. Interpret each asset’s mood separately and decide on a small, cautious position.
• 7. Store or script across all 261 resources for automated monitoring.

Evidence

Gold is the loud one. The front‑month gold signal shows GC_F at 4340.70, up 2.3% on the day and 7.3% over the last four sessions. Its 30‑day z score is 4.18 and its 30‑day percentile rank is 100.0.

Source

The cross‑asset fear thermometer disagrees. It reads 16 out of 100, which the dataset labels as greedy but low. VIX is 14.9.

Source

BTC MVRV is 1.486 (data date 2026‑08‑29) and NUPL is 0.327, which the source places in the belief‑to‑greed band.

Source