# RateXAI Docs

## Docs

- [Chain Data Endpoints](https://docs.ratex.ai/api-reference/chain-data-endpoints.md): Endpoint categories for the Indexed Chain Data API
- [Chain Data API Overview](https://docs.ratex.ai/api-reference/chain-data-overview.md): Indexed aggregates packs by chain scope and freshness
- [Error Responses](https://docs.ratex.ai/api-reference/error-responses.md): Error codes, formats, and common causes
- [API Overview](https://docs.ratex.ai/api-reference/introduction.md): RateXAI Scoring API endpoint and authentication
- [MetaScore Endpoints](https://docs.ratex.ai/api-reference/metascore-endpoints.md): Core endpoints for the MetaScore API (rMS)
- [MetaScore API Overview](https://docs.ratex.ai/api-reference/metascore-overview.md): rMS API — real-time token scores for product integration
- [Request Parameters](https://docs.ratex.ai/api-reference/request-parameters.md): Required and optional parameters for the Scoring API
- [Response Formats](https://docs.ratex.ai/api-reference/response-formats.md): Minimal, standard, and full response format structures
- [Response Times](https://docs.ratex.ai/api-reference/response-times.md): Expected processing times by analysis type and output format
- [Code Examples](https://docs.ratex.ai/examples/code-examples.md): Python, cURL, and JavaScript examples for the RateXAI Scoring API
- [Example Report](https://docs.ratex.ai/examples/example-report.md): Complete example of a Post-TGE scoring report response (Berachain)
- [How It Works](https://docs.ratex.ai/how-it-works.md): Automated data collection and cross-validation pipeline
- [RateXAI Scoring API](https://docs.ratex.ai/index.md)
- [Technical Details](https://docs.ratex.ai/internals/technical-details.md): Scoring engine, data sources, job metadata, and important notes
- [Chain Data API](https://docs.ratex.ai/products/chain-data-api.md): Indexed aggregates packs — not raw full-history dumps
- [Data Factory](https://docs.ratex.ai/products/data-factory.md): Custom datasets, pipelines, hosting — 'do it for me' delivery
- [Enterprise](https://docs.ratex.ai/products/enterprise.md): AgenticAI, Intelligence, and White-label solutions
- [MetaScore API](https://docs.ratex.ai/products/metascore-api.md): rMS API — real-time scoring for product integration and automated pipelines
- [Products & Pricing](https://docs.ratex.ai/products/overview.md): RateXAI B2B product suite for crypto data intelligence
- [Pilot Modules](https://docs.ratex.ai/products/pilot-modules.md): Preview of upcoming RateXAI intelligence layers
- [Scoring Suite](https://docs.ratex.ai/products/scoring-suite.md): Pre-TGE + Post-TGE + rMS — one product, three live scoring systems
- [Quickstart](https://docs.ratex.ai/quickstart.md): Make your first RateXAI scoring request
- [Roadmap](https://docs.ratex.ai/roadmap.md): Upcoming RateXAI modules and future API capabilities
- [Key Metrics](https://docs.ratex.ai/scoring/key-metrics.md): VFR, Financial Evolution, and Unit Economics
- [Post-TGE Analysis](https://docs.ratex.ai/scoring/post-tge.md): Comprehensive scoring for tokens already listed and trading
- [Pre-TGE Analysis](https://docs.ratex.ai/scoring/pre-tge.md): Comprehensive scoring for projects before token launch
- [Rating Scale](https://docs.ratex.ai/scoring/rating-scale.md): Scoring factors, point weights, and rating bands for Post-TGE and Pre-TGE
- [Support](https://docs.ratex.ai/support.md): Get help with the RateXAI Scoring API

## OpenAPI Specs

- [openapi](https://docs.ratex.ai/api-reference/openapi.json)