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fix(docs): fixes and review of content #150

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2 changes: 1 addition & 1 deletion pages/concepts.mdx
Original file line number Diff line number Diff line change
Expand Up @@ -132,7 +132,7 @@ Explore how to index and query blockchain data efficiently using the SubQuery in

<GuideBox
content={{
title: "Introduction",
title: "Introduction 🚀",
description: "The ledger-subquery is a SubQuery-based indexer for the Fetch ledger.",
path: "/concepts/indexer/intro"
}}
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2 changes: 1 addition & 1 deletion pages/concepts/indexer/_meta.json
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@@ -1,4 +1,4 @@
{
"intro": "Introduction",
"intro": "Introduction \uD83D\uDE80",
"architecture": "Architecture"
}
2 changes: 1 addition & 1 deletion pages/concepts/indexer/intro.mdx
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Expand Up @@ -2,7 +2,7 @@ import { Callout } from 'nextra/components'

# Indexer / Ledger SubQuery

## Introduction
## Introduction 🚀

The **ledger-subquery** is a [SubQuery-based ↗️](https://www.subquery.network/) indexer for the Fetch ledger. This indexer provides a [Graphql ↗️](https://www.subquery.network/) API for querying tracked entities.

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8 changes: 4 additions & 4 deletions pages/guides.mdx
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Expand Up @@ -425,16 +425,16 @@ import { GuideBox } from "../components/feature-guide-tabs";
<GuideBox
content={{
title: "Fetch holiday integrations ✈️",
description: "A guide showing you how to set up a holiday integration using agents.",
path: "/guides/integrations/fetch-holiday/intro"
description: "A guide showing you how to set up holiday integrations using agents.",
path: "/guides/integrations/fetch-holiday/getting-started"
}}
/>

<GuideBox
content={{
title: "Fetch mobility integrations 🚗🔌",
description: "A guide showing you how to set up a holiday integration using agents.",
path: "/guides/integrations/fetch-mobility/intro"
description: "A guide showing you how to set up holiday integrations using agents.",
path: "/guides/integrations/fetch-mobility/getting-started"
}}
/>

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1 change: 0 additions & 1 deletion pages/guides/integrations/fetch-holiday/_meta.json
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@@ -1,5 +1,4 @@
{
"intro": "Introduction",
"getting-started": "Getting started \uD83C\uDFAF",
"walk-through": "Walk-through \uD83D\uDCDD"
}
3 changes: 1 addition & 2 deletions pages/guides/integrations/fetch-holiday/getting-started.mdx
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@@ -1,12 +1,11 @@
# μAgents Holiday Integrations ✈️

## Introduction
## Introduction 🚀

The μAgents Holiday Integrations example demonstrates how to integrate and coordinate multiple agents to provide information and support in the handling and booking of flights, travels, and activities so to assist you in organizing your perfect holiday in a matter of few minutes.

The example showcases how different agents can work together and how these interact with various APIs to gather and process data to help you in booking the perfect holiday according to your needs and wishes!


# Getting started 🎯

## Prerequisites
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1 change: 0 additions & 1 deletion pages/guides/integrations/fetch-mobility/_meta.json
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@@ -1,5 +1,4 @@
{
"intro": "Introduction",
"getting-started": "Getting started \uD83C\uDFAF",
"walk-through": "Walk-through \uD83D\uDCDD"
}
22 changes: 19 additions & 3 deletions pages/guides/integrations/fetch-mobility/getting-started.mdx
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@@ -1,14 +1,30 @@
# Getting started 🎯
# Fetch mobility integrations 🚗🔌

## Prerequisites
## Introduction 🚀

Mobility solutions are essential and pivotal in today's fast-paced world. To simplify and enhance the integration of mobility services, we present the uAgents Mobility Integrations guide. This one offers a practical example featuring two key agents: **ev_charger** and **geoapi_car_parking** agents.

The **ev_charger** agent empowers users to find available EV chargers in a specific region within a given radius. Leveraging the OpenChargeMap API, it provides real-time access to vital charging information. Whether you are planning a cross-country electric vehicle journey or simply seeking a charging point in your neighborhood, this agent has you covered.

On the other hand, the **geoapi_car_parking** agent addresses the challenge of parking space availability. By inputting latitude, longitude, and a radius, users can effortlessly locate nearby parking spaces. This agent taps into Geoapify's resources, ensuring accurate and up-to-date parking information for your convenience.

Getting started with these agents is straightforward. By following a few simple steps, you can access the data you need to make informed mobility decisions. From obtaining API keys to setting up the environment and running the project, our guide walks you through the process, enabling you to integrate these agents into your mobility solutions straightforwardly.

In this guide, we'll take you through each step, ensuring you have the tools and knowledge necessary to harness the power of these agents. So, whether you're a developer creating innovative mobility apps or an individual looking for the nearest charging station or parking spot, join us on this journey to unlock a world of mobility possibilities.

**Let's get started!**

## Getting started 🎯

### Prerequisites

Before starting, you will need the following:

- [Python ↗️](https://www.python.org/downloads/) 3.8+.
- [Poetry ↗️](https://python-poetry.org/).
- [uAgents framework ↗️](https://pypi.org/project/uagents/).

## Set up the project and virtual environment
### Set up the project and virtual environment

First of all, create a `mobility-integrations` folder for your project files: `mkdir mobility-integrations`. Then, create another `src` sub-folder within it for your scripts: `mkdir src`.

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15 changes: 0 additions & 15 deletions pages/guides/integrations/fetch-mobility/intro.mdx

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