canonical: https://jentic.com/apis/rapidapi.com

# RapidAPI APIs

A set of independent third-party APIs distributed on the RapidAPI marketplace, grouped here by their shared rapidapi.com host. The set spans soccer match prediction, LaTeX-to-PDF document generation, and historical weather lookup. Each API is self-contained and serves a distinct purpose rather than a single integrated product.

## For AI agents

An agent can fetch predictions and results for upcoming and past football matches, compile PDFs from LaTeX templates by posting JSON data, and query historical weather readings for a location and date range. Each API is called independently and returns structured JSON.

## Scope

Use for: Fetching football match predictions and results, compiling PDFs from LaTeX templates, and looking up historical weather for a location and date range through their RapidAPI-hosted endpoints.

Not supported:
- real-time match streaming
- payment processing
- crm operations
- messaging or email
- weather forecasting

## APIs

| API | Category | Endpoints | Description |
| --- | --- | --- | --- |
| Football Prediction API | ai-ml | 5 | Programmatically access Football Prediction API resources. |
| DynamicDocs | analytics | 1 | Programmatically compile new document pdf. |
| Historische Daten | hr-recruiting | 1 | Programmatically wetter 2021 für berlin, reichstag. |

## Cross-API use cases

### Match-day briefing PDF

An agent fetches predictions and stats for upcoming football matches, then compiles a formatted match-day briefing as a PDF from a LaTeX template populated with those figures.

Example prompt: Retrieve upcoming match predictions from the Football Prediction API, then POST the values as JSON to DynamicDocs to compile a briefing PDF

### Historical weather appendix for match reports

An agent pulls historical weather for a match location and date, then feeds those readings into a LaTeX template to generate a PDF report that includes weather context alongside other data.

Example prompt: Query GET /public/history for a location and date via the Historische Daten API, then POST the readings to DynamicDocs to compile a PDF appendix

## Why Jentic

- **Setup:** Wiring these APIs by hand means writing a separate client for each host and, for DynamicDocs, hand-coding its API key header on every call. Through Jentic you install once, add each API from the Jentic directory, and your agent calls all three the same way.
- **Permission scoping:** Your own rules in Jentic One decide which of these operations each agent may call, so you can let an agent read football predictions or historical weather while withholding the DynamicDocs compile endpoint, or the reverse.
- **Credential handling:** The DynamicDocs API key is stored encrypted by your own Jentic One instance and injected at execution time, never entering the agent's prompt, logs, or context. The other two APIs declare no credential, so there is no secret to hold.
- **Discovery method:** Agents search the Jentic directory by intent, such as 'get football match predictions' or 'compile a PDF from a template', and Jentic returns the matching operation with its input schema so the agent calls the right endpoint without reading reference docs.

## Related vendors

- **OpenWeatherMap** — Weather data provider covering historical and forecast readings, an alternative to the Historische Daten weather lookup
- **API-Football** — Football data and fixtures provider, adjacent to the Football Prediction API for match data
- **DocRaptor** — Document and PDF generation service, an alternative to DynamicDocs for producing PDFs from templates

## FAQ

### What do these APIs have in common?

They are grouped only because each is published on the RapidAPI marketplace under the rapidapi.com host. They serve unrelated purposes: football match prediction, PDF generation from LaTeX templates, and historical weather lookup. There is no shared data model or account between them.

### Can I use one credential across all of these APIs?

No. The Football Prediction and Historische Daten APIs declare no authentication in their specs, while DynamicDocs needs its own API key header. Each API is set up on its own, so there is no single credential that covers the whole set.

### Which API should an agent pick for a given task?

Choose by task: the Football Prediction API for soccer match predictions and results, DynamicDocs for turning JSON data into PDFs via LaTeX templates, and the Historische Daten API for historical weather readings. The APIs do not overlap, so there is rarely a choice to make between them.

### Can these APIs be combined in one workflow?

Yes, when a task spans more than one. For example, an agent can pull match predictions or historical weather and then pass those values to DynamicDocs to produce a formatted PDF. Each API is still called separately with its own inputs.

### Do these APIs return machine-readable responses?

Yes. All three return structured JSON, so an agent can parse the response and act on it directly or feed it into a downstream call such as PDF compilation.

### Are these official first-party APIs?

They are third-party APIs distributed through the RapidAPI marketplace, each maintained by its own publisher. RapidAPI is the distribution host rather than the author of the underlying services.