Open Grant Proposal: Model-Fitness Decentralized Benchmark Registry + BetterClaw Provider Intelligence

## Project Name

Model-Fitness Decentralized Benchmark Registry + BetterClaw Provider Intelligence

## Proposal Category

`category:devtools-libraries`

## Proposer

Jason Paul Michaels (@sanchez314c)

## Do you agree to open source all work?

Yes. All code is MIT-licensed and publicly available on GitHub.

## Are you a dual-licensed project?

No. MIT only.

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## Project Description

AI developers face two problems: they can't trust vendor-published benchmarks, and they have no verifiable, permanent record of model performance over time.

Model-Fitness solves the first problem. It's an independent evaluation framework that benchmarks 339+ AI models across 14 providers and 12 test phases (reasoning, code generation, instruction following, safety, creativity, and more). Results are reproducible, the methodology is open, and no provider pays for favorable placement.

The missing piece is permanence and verifiability. Benchmark results currently live on GitHub. They can be altered, deleted, or lost. This proposal adds a Filecoin/IPFS storage layer so every benchmark run produces a content-addressed, immutable record. Anyone can verify that a model's claimed performance on date X matches the stored result.

BetterClaw complements this by collecting anonymized, aggregated provider performance data (latency, uptime, error rates, token throughput) across 25+ AI providers. This real-world operational data, stored on Filecoin, becomes a public dataset for the entire AI developer community.

**What gets stored on Filecoin:**
- Structured benchmark results (JSON) for every model evaluation run
- Provider performance metrics (latency, availability, throughput) aggregated daily
- Test methodology documentation and versioned evaluation criteria
- Historical data enabling trend analysis across model versions

## Value

**For the Filecoin ecosystem:**
- A real, actively-used application of Filecoin storage beyond crypto-native projects
- Demonstrates Filecoin as the verifiable data layer for AI infrastructure
- Drives actual storage deals from daily benchmark operations
- Creates a reference implementation for "Filecoin as public data registry" that other AI projects can copy

**For AI developers:**
- Verifiable, tamper-evident benchmark data. No more "trust us, our model scored X."
- Historical performance tracking across model versions with permanent records
- Provider reliability data based on real traffic, not synthetic tests
- All data publicly accessible via IPFS CIDs, no API keys needed

## Deliverables

| # | Deliverable | Description |
|---|------------|-------------|
| 1 | IPFS/Filecoin storage adapter for Model-Fitness | Module that publishes benchmark results as content-addressed JSON to IPFS, pins to Filecoin via storage deals. Each run produces a verifiable CID. |
| 2 | BetterClaw metrics exporter | Aggregates and anonymizes provider performance data, exports daily snapshots to Filecoin storage. |
| 3 | Benchmark data viewer | Web interface for browsing historical benchmark data by model, provider, date. Resolves data directly from IPFS CIDs. |
| 4 | Public API for benchmark retrieval | REST API returning benchmark results with Filecoin CID verification. Developers can programmatically query model performance. |
| 5 | Documentation and integration guide | How to replicate the pattern: store structured evaluation data on Filecoin with content addressing. |

## Development Roadmap

**Month 1-2: Storage Integration**
- Filecoin/IPFS storage adapter for Model-Fitness
- Automated pipeline: run benchmarks, structure results, publish to IPFS, create Filecoin storage deal
- Unit and integration tests for the full pipeline

**Month 3-4: BetterClaw Metrics + Data Viewer**
- BetterClaw anonymized metrics exporter
- Web interface for browsing benchmark history via IPFS
- Public API for programmatic access

**Month 5-6: Polish, Docs, Community**
- Documentation for the "Filecoin as benchmark registry" pattern
- Community outreach to other AI benchmarking projects
- Performance optimization and monitoring

## Total Budget Requested

| Deliverable | Months | Cost (USD) |
|------------|--------|------------|
| 1. IPFS/Filecoin storage adapter | 2 | $10,000 |
| 2. BetterClaw metrics exporter | 1.5 | $7,000 |
| 3. Benchmark data viewer | 1.5 | $7,000 |
| 4. Public API | 1 | $5,000 |
| 5. Documentation + integration guide | 1 | $3,000 |
| Filecoin storage deals + infrastructure | ongoing | $3,000 |
| **Total** | **6 months** | **$35,000** |

## Maintenance and Upgrade Plans

Model-Fitness already runs continuous benchmarks and BetterClaw processes production traffic daily. The Filecoin integration becomes part of the existing automated pipeline. Once built, benchmark data flows to Filecoin storage automatically with every evaluation run. No additional maintenance beyond what already exists for the core projects.

Long-term: as new AI providers and models launch, they're added to Model-Fitness. Each addition generates more benchmark data stored on Filecoin, growing the public dataset organically.

## Team Members

Jason Paul Michaels (solo developer)

## Team Website

https://jasonpaulmichaels.co

## Relevant Experience

- 15+ years building software, self-taught
- Founded Dime City Cycles (custom motorcycle fabrication, $4.5M exit)
- In the past 11 months: 118+ open source projects, 72 public repos, 8,600+ commits, 1M+ lines of code
- BetterClaw: 73K LOC multi-provider AI gateway, 25+ providers, production use
- Model-Fitness: 339+ models benchmarked across 14 providers, 12 test phases
- Stack: TypeScript, Python, Go, Node.js, Electron, React, FastAPI
- All work is MIT-licensed open source

## Team Code Repositories

- https://github.com/sanchez314c (72 public repos)

## Additional Information

I'm also applying to other grant programs for the core projects. This Filecoin proposal is specifically for the decentralized storage integration layer. There's no funding overlap. If another grant funds the core Model-Fitness or BetterClaw development, this Filecoin grant would fund exclusively the storage integration and data permanence features described here.

All existing code is publicly available at github.com/sanchez314c.