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WZRD — AI Model Velocity Oracle for Agents

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.

PyPI version npm version License: MIT


Quickstart (Python)

pip install wzrd-client
import 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 list

No API key. No account. Works immediately.

Task types: code, chat, reasoning, math, multilingual — or any string.

Quickstart (TypeScript)

npm install @wzrd_sol/sdk
import { bestModel } from '@wzrd_sol/sdk';

const picks = await bestModel({ task: 'code', budget: 'micro' });
console.log(picks[0].model_id);

Framework plugins on npm:


Why WZRD

  • 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.

Use Cases

  • 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

Earn CCM Tokens (optional)

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 CCM

Or 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

Full Python API

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

Candidate-Aware Routing

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 Auth

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).


Public REST API

GET https://api.twzrd.xyz/v1/signals/momentum

Full OpenAPI spec: api.twzrd.xyz/openapi.json

On-Chain Oracles

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()

On-Chain Identifiers

Item Address
AO Program GnGzNdsQMxMpJfMeqnkGPsvHm8kwaDidiKjNU2dCVZop
CCM Mint Dxk8mAb3C7AM8JN6tAJfVuSja5yidhZM5sEKW3SRX2BM
vLOFI Mint E9Kt33axpCy3ve2PCY9BSrbPhcR9wdDsWQECAahzw2dS

Links

Environment Variables

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

License

MIT

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AI model velocity signals for Solana. Which models are moving right now.

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