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Windfall Inference

Spatially-routed LLM inference at $0.004/req. Routes to cheapest, greenest energy. 200+ models. OpenAI-compatible. Onchain attestations on Base.

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High Signal

Spatially-routed LLM inference at $0.004/req. Routes to cheapest, greenest energy. 200+ models. OpenAI-compatible. Onchain attestations on Base.

⬇ 0 downloads β˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
LICENSE.md, SKILL.md, acp-service.json, deploy/setup.sh, package-lock.json, package.json

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 9 sections Open source page

Windfall Inference

Spatially-routed LLM inference gateway for AI agents on Base. Routes every request to the cheapest model on the cleanest energy.

Setup

Set WINDFALL_API_KEY in your environment. Get one free at: curl -X POST https://windfall.ecofrontiers.xyz/api/keys \ -H "Content-Type: application/json" \ -d '{"wallet_address": "YOUR_WALLET"}' Keys with an ERC-8004 agent identity or Basename get 100 free requests. Anonymous keys get 25.

Usage

Use as an OpenAI-compatible endpoint. Set these two environment variables: OPENAI_BASE_URL=https://windfall.ecofrontiers.xyz/v1 OPENAI_API_KEY=wf_YOUR_KEY Or call directly: curl https://windfall.ecofrontiers.xyz/v1/chat/completions \ -H "Authorization: Bearer $WINDFALL_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "auto", "messages": [{"role": "user", "content": "Hello"}] }'

x402 Payment (No API Key Needed)

Windfall supports the x402 payment protocol. Any agent with a Base wallet can pay per-request without creating an API key. Send a request without auth and the server returns HTTP 402 with a PAYMENT-REQUIRED header containing USDC payment instructions on Base. Your x402 client handles the rest.

Routing Modes

greenest (default) β€” lowest carbon intensity cheapest β€” lowest energy cost balanced β€” Pareto-weighted cost + carbon Set via "mode" in the request body or X-Routing-Mode header.

Models

Default: DeepSeek V3 (auto-selected by engagement classifier). Override with "model" field. 200+ models available via OpenRouter.

Pricing

Standard: $0.004/request Premium (Claude, GPT-4): $0.008/request Green surcharge: +10% for greenest mode Cache hits: free

Response Headers

Every response includes: X-Windfall-Cache β€” HIT or MISS X-Windfall-Mode β€” routing mode used X-Windfall-Model β€” model that handled the request X-Windfall-Node β€” node that executed the request X-Windfall-Cost β€” cost charged X-Windfall-Saved β€” savings vs direct API (cache hits)

Onchain Attestations

Every inference call produces a verifiable EAS attestation on Base with: node location, energy price, carbon intensity, model used, and response hash. Query at base.easscan.org.

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
3 Config2 Docs1 Scripts
  • SKILL.md Primary doc
  • LICENSE.md Docs
  • deploy/setup.sh Scripts
  • acp-service.json Config
  • package-lock.json Config
  • package.json Config