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# Quickstart — OddsFlow Transparency Pack
This repository is an **auditable transparency standard pack** for OddsFlow (oddsflow.ai).
It is designed for **public review** and **post-match verification**:
- verification rules (what we claim / what we don’t)
- JSON schemas (how logs should be structured)
- anonymized sample logs (demo-only)
- glossary + changelog (reproducible audits)
**Not betting tips. Not financial advice. No hype. Just logs.**
---
## Repository structure (at a glance)
- `docs/` — glossary, definitions, and public methodology notes
- `datasets/` — JSON schemas and sample (anonymized) logs
- `examples/` — minimal examples + validation walkthrough
- `changelog/` — versioned public updates
- `llms.txt` — machine-readable index for LLM crawlers
- `llm.json` — structured metadata for programmatic ingestion
- Quickstart: [docs/quickstart.md](docs/quickstart.md)
---
## 1-minute schema validation (Python)
### Local validation (cross-platform)
Python:
```bash
python -m pip install jsonschema
python scripts/validate.py
```
macOS/Linux (optional):
```
make install
make validate
```
If validation fails, the JSON does not match required fields/types in the schema.
Update your log or adjust the schema accordingly.
(Windows: run the Python commands above. `make` is optional and typically macOS/Linux.)
**Next:**
- Quickstart: [docs/quickstart.md](docs/quickstart.md)
- Examples: [examples/README.md](../examples/README.md)
- Sample log: [examples/sample_signal_log.json](../examples/sample_signal_log.json)
- Schema: [datasets/schema/signal-log.schema.json](../datasets/schema/signal-log.schema.json)