Which AI model should your agent use right now? Real-time adoption signals across 100+ LLMs. HuggingFace, GitHub, OpenRouter, ArtificialAnalysis — updated every 5 minutes. Dynamic model routing for autonomous agents. Agents earn CCM tokens on Solana.
pip install wzrd-clientimport wzrd
model = wzrd.pick("code") # → "Qwen/Qwen3.5-35B-A3B"
details = wzrd.pick_details("code") # score, trend, confidence
top_5 = wzrd.shortlist("code", 5) # ranked listNo API key. No account. Works immediately.
Task types: code, chat, reasoning, math, multilingual — or any string.
npm install @wzrd_sol/sdkimport { bestModel } from '@wzrd_sol/sdk';
const picks = await bestModel({ task: 'code', budget: 'micro' });
console.log(picks[0].model_id);Framework plugins on npm:
@wzrd_sol/eliza-plugin— ElizaOS@wzrd_sol/solana-agent-plugin— Solana Agent Kit@wzrd_sol/goat-plugin— GOAT SDK
- Save money — models change weekly. The one you hardcoded is probably 10x more expensive than the trending alternative.
- Better results — momentum is a leading indicator. Models gaining adoption fast are usually improving fast.
- Trustless on-chain oracles — 9 Switchboard feeds on Solana mainnet. Verify any signal independently.
- Get paid — agents that report inference results earn CCM tokens through a gasless relay.
- Autonomous agents that always pick the fastest/cheapest/best model
- Multi-agent orchestration (CrewAI, LangGraph, AutoGen, Eliza)
- MCP clients (Claude Code, Cursor) — 26 tools via MCP server
- On-chain protocols that need verifiable model selection data
Agents that report which model they picked — and what happened — earn CCM on Solana. The usage data improves the oracle, so WZRD pays for it.
wzrd.run_loop()
# authenticates → picks models → runs inference → reports → claims CCMOr with auto-staking:
wzrd.run_loop(stake=True)
# authenticates → reports → claims → auto-stakes (7-day lock, 1.25x boost)What you need: Nothing. The client auto-generates a Solana keypair at ~/.config/solana/wzrd-agent.json on first run. Claims are gasless — no SOL needed.
CLI equivalent:
wzrd run --stake # earn loop with auto-stake
wzrd stake all --lock=30 # stake full balance, 30-day lock (~7% APR)
wzrd rewards --claim # claim staking rewards| Function | Description |
|---|---|
wzrd.pick(task) |
Best model name for the task |
wzrd.pick_details(task) |
Structured result: score, trend, confidence |
wzrd.shortlist(task, limit) |
Top-N ranked models |
wzrd.compare(model_a, model_b) |
Head-to-head signal comparison |
wzrd.pick_onchain(task) |
Reads Switchboard feeds directly (trustless) |
wzrd.run_loop(...) |
Complete earn loop: pick → infer → report → claim |
Constrain picks to models you actually have access to:
model = wzrd.pick(
"code",
candidates=[
"openrouter/qwen/qwen3.5-9b",
"openrouter/qwen/qwen3.5-35b-a3b",
"anthropic/claude-sonnet-4.6",
],
)agent = wzrd.WZRDAgent.from_env()
session = agent.authenticate()
receipt = agent.report_pick(choice, quality_score=0.9, latency_ms=1200)
status = agent.earned()Keypair loading: ~/.config/solana/id.json, WZRD_AGENT_KEYPAIR_PATH, WZRD_AGENT_KEYPAIR (base58 or JSON byte array).
GET https://api.twzrd.xyz/v1/signals/momentum
Full OpenAPI spec: api.twzrd.xyz/openapi.json
9 Switchboard pull feeds on Solana mainnet (7 velocity + 2 price):
| Feed | Address |
|---|---|
| Qwen 3.5 9B | AepiFwnbfCvXwA5gtAysMaxoqdwsGiYCN6gFBLGqZf1S |
| Llama 3.3 70B | 6EgRwhE6db1Aqsxzmp9wj6QH2y5ZEji1xe1YdovwmD9g |
| Kimi K2.5 | 5xmwRtTgcCz6R2KapxpEXVjCNcZCpe24DnCC295S769w |
| Qwen3-Coder-Next | g3RRSmg4PJjDNCq3jkTutMB8431UMMtRTNBRpc7UfVV |
Full registry: wzrd.oracle.list_feeds()
| Item | Address |
|---|---|
| AO Program | GnGzNdsQMxMpJfMeqnkGPsvHm8kwaDidiKjNU2dCVZop |
| CCM Mint | Dxk8mAb3C7AM8JN6tAJfVuSja5yidhZM5sEKW3SRX2BM |
| vLOFI Mint | E9Kt33axpCy3ve2PCY9BSrbPhcR9wdDsWQECAahzw2dS |
- twzrd.xyz/start — onboarding
- twzrd.xyz/feed — live velocity feed
- MCP guide — connect to Claude Code / Cursor
- PyPI — Python package
- npm — TypeScript SDK
| Variable | Purpose |
|---|---|
WZRD_API_URL |
Signal endpoint override |
WZRD_AGENT_KEYPAIR_PATH |
Path to Solana JSON keypair |
WZRD_AGENT_KEYPAIR |
Base58 secret or JSON byte array |
WZRD_TIMEOUT_SECONDS |
Request timeout |
WZRD_CACHE_TTL_SECONDS |
Cache TTL for fetched signals |
MIT