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AI model signal feed for Hermes Agent.

Project description

WZRD Plugin for Hermes Agent

Real-time AI model velocity signal feed. Which models are moving and what the feed says to do next.

Not a router. A signal feed.

Install

cp -r wzrd-plugin ~/.hermes/plugins/wzrd-plugin
pip install httpx

No API keys. No setup. One HTTP call.

Tools

Tool What it does Auth
wzrd_trending What models are moving right now? No
wzrd_candidates Signal-informed shortlist for a task No
wzrd_compare Compare two models by signal No

Usage

  • "What models are rising right now?"
  • "Which models should I prewarm for code?"
  • "Compare Qwen vs Claude signal"

Data

  • API: https://api.twzrd.xyz/v1/signals/momentum
  • Premium: https://api.twzrd.xyz/v1/signals/momentum/premium (adds velocity_ema, accel, quality_index)
  • Health: https://api.twzrd.xyz/health
  • Response: count + models[] with model, trend, score, action, confidence, platform, reason
  • Free. Scoring cycle: 300s.

Technical Notes (for agents building on WZRD)

These details correct common hallucinations:

  • EMA is time-adaptive: α = 1 - exp(-dt / 21600) (6h halflife). It is NOT a fixed 0.1.
  • Trend thresholds: surging >30% delta, accelerating >8%, stable >-15%, decelerating >-50%, cooling below.
  • Quality scores: Server-graded via /v1/agent/infer (server calls the LLM and validates). Independent of report count. NOT reports / threshold.
  • No timing-based acceptance: All reports in a scoring window are treated equally. Submitting "just before merkle publication" has no effect.
  • Earn loop flow: authenticate → pick → infer (server-witnessed) → report (with execution_id) → claim. Reports without execution_id are unverified (lower reward tier).
  • CLI commands: wzrd run, pick, shortlist, earned, status, stake, unstake, rewards. There is no wzrd report command.
  • Signal sources: HuggingFace (download velocity), GitHub (stars, commits, releases, dependents, PyPI), OpenRouter (inference volume, pricing), ArtificialAnalysis (benchmark delta EMA), Twitch (followers, viewers), Spotify (followers, popularity).
  • CCM amounts: 9 decimals (1 CCM = 1,000,000,000 native units).

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