diff --git a/.example.env b/.example.env
index 014fdc45..68c6cb1c 100644
--- a/.example.env
+++ b/.example.env
@@ -1,10 +1,13 @@
-FILE_HASH_TO_TOOLS='[["bafybeibdcttrlgp5udygntka5fofi566pitkxhquke37ng7csvndhy4s2i",["openai-gpt-3.5-turbo-instruct","openai-gpt-3.5-turbo","openai-gpt-4"]],["bafybeiegbsq2ajxyipajac4mmxyvbt22ctwyuypuid6ziavqpndns6fsjy",["stabilityai-stable-diffusion-v1-5","stabilityai-stable-diffusion-xl-beta-v2-2-2","stabilityai-stable-diffusion-512-v2-1","stabilityai-stable-diffusion-768-v2-1"]],["bafybeihugaylajwh2fgypxatcw5qrw5qxadtrsi2h2s2246442wlvjirtm",["transfer-native"]],["bafybeiayity7o6c2yynrpe6libyak37hgf4fp7a4kjfcnqkkxwy3zkp3ie",["prediction-offline","prediction-online"]],["bafybeifpalgiya4dyu42hehsqxlwr36fjtxdo75xf3gcpfrauvoxgargy4",["gemini-pro", "gemini-1.0-pro-001", "gemini-1.0-pro-latest", "gemini-1.5-pro-latest"]]]'
-API_KEYS='[["openai","dummy_api_key"],["stabilityai","dummy_api_key"],["gemini","dummy_api_key"]]'
+TOOLS_TO_PACKAGE_HASH="{"openai-gpt-3.5-turbo-instruct":"bafybeigz5brshryms5awq5zscxsxibjymdofm55dw5o6ud7gtwmodm3vmq","openai-gpt-3.5-turbo":"bafybeigz5brshryms5awq5zscxsxibjymdofm55dw5o6ud7gtwmodm3vmq","openai-gpt-4":"bafybeigz5brshryms5awq5zscxsxibjymdofm55dw5o6ud7gtwmodm3vmq"}"
+API_KEYS="{"openai":"dummy_api_key", "google_api_key":"dummy_api_key"}"
 ETHEREUM_LEDGER_RPC_0=https://rpc.eu-central-2.gateway.fm/v4/gnosis/non-archival/mainnet
 GNOSIS_RPC_0=https://rpc.eu-central-2.gateway.fm/v4/gnosis/non-archival/mainnet
 ETHEREUM_WEBSOCKET_RPC_0=wss://rpc.eu-central-2.gateway.fm/ws/v4/gnosis/non-archival/mainnet
 ETHEREUM_LEDGER_CHAIN_ID=100
 ALL_PARTICIPANTS='["0x10E867Ac2Fb0Aa156ca81eF440a5cdf373bE1AaC"]'
-RESET_PAUSE_DURATION=100
 SAFE_CONTRACT_ADDRESS="0x5e1D1eb61E1164D5a50b28C575dA73A29595dFf7"
-AGENT_MECH_CONTRACT_ADDRESS="0xFf82123dFB52ab75C417195c5fDB87630145ae81"
\ No newline at end of file
+SERVICE_REGISTRY_ADDRESS="0x9338b5153AE39BB89f50468E608eD9d764B755fD"
+AGENT_REGISTRY_ADDRESS="0xE49CB081e8d96920C38aA7AB90cb0294ab4Bc8EA"
+MECH_MARKETPLACE_ADDRESS="0x4554fE75c1f5576c1d7F765B2A036c199Adae329"
+MECH_TO_SUBSCRIPTION="{"0x77af31De935740567Cf4fF1986D04B2c964A786a":{"tokenAddress":"0x0000000000000000000000000000000000000000","tokenId":"1"}}"
+MECH_TO_CONFIG="{"0xFf82123dFB52ab75C417195c5fDB87630145ae81":{"use_dynamic_pricing":false,"is_marketplace_mech":false}}"
\ No newline at end of file
diff --git a/README.md b/README.md
index ddd7ce04..48e26ee2 100644
--- a/README.md
+++ b/README.md
@@ -13,19 +13,19 @@
 
 The execution of AI tasks, such as image generation using DALL-E, prompt processing with ChatGPT, or more intricate operations involving on-chain transactions, poses a number of challenges, including:
 
-- Access to proprietary APIs, which may come with associated fees/subscriptions.
-- Proficiency in the usage of the related open-source technologies, which may entail facing their inherent complexities.
+-   Access to proprietary APIs, which may come with associated fees/subscriptions.
+-   Proficiency in the usage of the related open-source technologies, which may entail facing their inherent complexities.
 
-AI Mechs run on the [Gnosis chain](https://www.gnosis.io/), and enables you to post *AI tasks requests* on-chain and get their result delivered back to you efficiently. An AI Mech will execute these tasks for you. All you need is some xDAI in your wallet to reward the worker service executing your task. AI Mechs are **hassle-free**, **crypto-native**, and **infinitely composable**.
+AI Mechs run on the [Gnosis chain](https://www.gnosis.io/), and enables you to post _AI tasks requests_ on-chain and get their result delivered back to you efficiently. An AI Mech will execute these tasks for you. All you need is some xDAI in your wallet to reward the worker service executing your task. AI Mechs are **hassle-free**, **crypto-native**, and **infinitely composable**.
 
 > :bulb: These are just a few ideas on what capabilities can be brought on-chain with AI Mechs:
 >
-> - fetch real-time **web search** results
-> - integrate **multi-sig wallets**,
-> - **simulate** chain transactions
-> - execute a variety of **AI models**:
->   - **generative** (e.g, Stability AI, Midjourney),
->   - **action-based** AI agents (e.g., AutoGPT, LangChain)
+> -   fetch real-time **web search** results
+> -   integrate **multi-sig wallets**,
+> -   **simulate** chain transactions
+> -   execute a variety of **AI models**:
+>     -   **generative** (e.g, Stability AI, Midjourney),
+>     -   **action-based** AI agents (e.g., AutoGPT, LangChain)
 
 **AI Mechs is a project born at [ETHGlobal Lisbon](https://ethglobal.com/showcase/ai-mechs-dt36e).**
 
@@ -33,12 +33,12 @@ AI Mechs run on the [Gnosis chain](https://www.gnosis.io/), and enables you to p
 
 The project consists of three components:
 
-- Off-chain AI workers, each of which controls a Mech. Each AI worker is implemented as an autonomous service on the Autonolas stack.
-- An on-chain protocol, which is used to generate a registry of AI Mechs, represented as NFTs on-chain.
-- [Mech Hub](https://aimechs.autonolas.network/), a frontend which allows to interact with the protocol:
-  - Gives an overview of the AI workers in the registry.
-  - Allows Mech owners to create new workers.
-  - Allows users to request work from an existing worker.
+-   Off-chain AI workers, each of which controls a Mech. Each AI worker is implemented as an autonomous service on the Autonolas stack.
+-   An on-chain protocol, which is used to generate a registry of AI Mechs, represented as NFTs on-chain.
+-   [Mech Hub](https://aimechs.autonolas.network/), a frontend which allows to interact with the protocol:
+    -   Gives an overview of the AI workers in the registry.
+    -   Allows Mech owners to create new workers.
+    -   Allows users to request work from an existing worker.
 
 ## Mech request-response flow
 
@@ -48,9 +48,9 @@ The project consists of three components:
 
     ```json
     {
-      "nonce": 15,
-      "tool": "prediction_request",
-      "prompt": "Will my favourite football team win this week's match?"
+    	"nonce": 15,
+    	"tool": "prediction_request",
+    	"prompt": "Will my favourite football team win this week's match?"
     }
     ```
 
@@ -78,8 +78,8 @@ The project consists of three components:
 
     ```json
     {
-      "requestId": 68039248068127180134548324138158983719531519331279563637951550269130775,
-      "result": "{\"p_yes\": 0.35, \"p_no\": 0.65, \"confidence\": 0.85, \"info_utility\": 0.75}"
+    	"requestId": 68039248068127180134548324138158983719531519331279563637951550269130775,
+    	"result": "{\"p_yes\": 0.35, \"p_no\": 0.65, \"confidence\": 0.85, \"info_utility\": 0.75}"
     }
     ```
 
@@ -89,11 +89,11 @@ See some examples of requests and responses on the [Mech Hub](https://aimechs.au
 
 This repository contains a demo AI Mech. You can clone and extend the codebase to create your own AI Mech. You need the following requirements installed in your system:
 
-- [Python](https://www.python.org/) (recommended `3.10`)
-- [Poetry](https://python-poetry.org/docs/)
-- [Docker Engine](https://docs.docker.com/engine/install/)
-- [Docker Compose](https://docs.docker.com/compose/install/)
-- [Tendermint](https://docs.tendermint.com/v0.34/introduction/install.html) `==0.34.19`
+-   [Python](https://www.python.org/) (recommended `3.10`)
+-   [Poetry](https://python-poetry.org/docs/)
+-   [Docker Engine](https://docs.docker.com/engine/install/)
+-   [Docker Compose](https://docs.docker.com/compose/install/)
+-   [Tendermint](https://docs.tendermint.com/v0.34/introduction/install.html) `==0.34.19`
 
 ## Set up your environment
 
@@ -115,7 +115,7 @@ Follow these instructions to have your local environment prepared to run the dem
 
 ## Run the demo
 
-Follow the instructions below to run the AI Mech demo executing the tool in `./packages/valory/customs/openai_request.py`. Note that AI Mechs can be configured to work in two modes: *polling mode*, which periodically reads the chain, and *websocket mode*, which receives event updates from the chain. The default mode used by the demo is *polling*.
+Follow the instructions below to run the AI Mech demo executing the tool in `./packages/valory/customs/openai_request.py`. Note that AI Mechs can be configured to work in two modes: _polling mode_, which periodically reads the chain, and _websocket mode_, which receives event updates from the chain. The default mode used by the demo is _polling_.
 
 First, you need to configure the worker service. You need to create a `.1env` file which contains the service configuration parameters. We provide a prefilled template (`.example.env`). You will need to provide or create an [OpenAI API key](https://platform.openai.com/account/api-keys).
 
@@ -129,8 +129,24 @@ cp .example.env .1env
 source .1env
 ```
 
-> **Warning**<br />
-> **The demo service is configured to match a specific on-chain agent (ID 3 on [Mech Hub](https://aimechs.autonolas.network/registry). Since you will not have access to its private key, your local instance will not be able to transact.
+##### Environment variables
+
+You may customize the agent's behaviour by setting these environment variables.
+
+| Name | Type | Sample Value | Description |
+| ---- | ---- | ------------ | ----------- |
+
+| `TOOLS_TO_PACKAGE_HASH` | `dict` | `"{"openai-gpt-3.5-turbo-instruct":"bafybeigz5brshryms5awq5zscxsxibjymdofm55dw5o6ud7gtwmodm3vmq","openai-gpt-3.5-turbo":"bafybeigz5brshryms5awq5zscxsxibjymdofm55dw5o6ud7gtwmodm3vmq","openai-gpt-4":"bafybeigz5brshryms5awq5zscxsxibjymdofm55dw5o6ud7gtwmodm3vmq"}"` | Tracks services for each tool packages. |
+| `API_KEYS` | `dict` | `"{"openai":"dummy_api_key", "google_api_key":"dummy_api_key"}"` | Tracks API keys for each services. |
+|`SERVICE_REGISTRY_ADDRESS`|`str` |`"0x9338b5153AE39BB89f50468E608eD9d764B755fD"` | Smart contract which registers the services. |
+|`AGENT_REGISTRY_ADDRESS` |`str` |`"0xE49CB081e8d96920C38aA7AB90cb0294ab4Bc8EA"` | Smart contract which registers the agents. |
+|`MECH_MARKETPLACE_ADDRESS`|`str` |`"0x4554fE75c1f5576c1d7F765B2A036c199Adae329"` | Marketplace for posting and delivering requests served by agent mechs. |
+|`MECH_TO_SUBSCRIPTION` |`dict`|`"{"0x77af31De935740567Cf4fF1986D04B2c964A786a":{"tokenAddress":"0x0000000000000000000000000000000000000000","tokenId":"1"}}"`| Tracks mech's subscription details. |
+|`MECH_TO_CONFIG` |`dict`|`"{"0xFf82123dFB52ab75C417195c5fDB87630145ae81":{"use_dynamic_pricing":false,"is_marketplace_mech":false}}"` | Tracks mech's config. |
+
+The rest of the common environment variables are present in the [service.yaml](https://github.com/valory-xyz/mech/blob/main/packages/valory/services/mech/service.yaml), which are customizable too.
+
+> **Warning**<br /> > **The demo service is configured to match a specific on-chain agent (ID 3) on [Mech Hub](https://aimechs.autonolas.network/registry). Since you will not have access to its private key, your local instance will not be able to transact.
 > However, it will be able to receive Requests for AI tasks [sent from Mech Hub](https://aimechs.autonolas.network/mech). These Requests will be executed by your local instance, but you will notice that a failure will occur when it tries to submit the transaction on-chain (Deliver type).**
 
 Now, you have two options to run the worker: as a standalone agent or as a service.
@@ -139,9 +155,9 @@ Now, you have two options to run the worker: as a standalone agent or as a servi
 
 1. Ensure you have a file with a private key (`ethereum_private_key.txt`). You can generate a new private key file using the Open Autonomy CLI:
 
-   ```bash
-   autonomy generate-key ethereum 
-   ```
+    ```bash
+    autonomy generate-key ethereum
+    ```
 
 2. From one terminal, run the agent:
 
@@ -160,14 +176,14 @@ Now, you have two options to run the worker: as a standalone agent or as a servi
 1. Ensure you have a file with the agent address and private key (`keys.json`). You can generate a new private key file using the Open Autonomy CLI:
 
     ```bash
-    autonomy generate-key ethereum -n 1
+    autonomy generate-key ethereum -n 4
     ```
 
-2. Ensure that the variable `ALL_PARTICIPANTS` in the file `.1env` contains the agent address from `keys.json`:
+2. Ensure that the variable `ALL_PARTICIPANTS` in the file `.1env` contains the agent addresses from `keys.json`:
 
-   ```bash
-   ALL_PARTICIPANTS='["your_agent_address"]'
-   ```
+    ```bash
+    ALL_PARTICIPANTS='["your_agent_address_1", "your_agent_address_2", "your_agent_address_3", "your_agent_address_4"]'
+    ```
 
 3. Run, the service:
 
@@ -185,17 +201,17 @@ Use the [mech-client](https://github.com/valory-xyz/mech-client), which can be u
 
 To perform mech requests from your service, use the [mech_interact_abci skill](https://github.com/valory-xyz/IEKit/tree/main/packages/valory/skills/mech_interact_abci). This skill abstracts away all the IPFS and contract interactions so you only need to care about the following:
 
-- Add the mech_interact_abci skill to your dependency list, both in `packages.json`, `aea-config.yaml` and any composed `skill.yaml`.
+-   Add the mech_interact_abci skill to your dependency list, both in `packages.json`, `aea-config.yaml` and any composed `skill.yaml`.
 
-- Import [MechInteractParams and MechResponseSpecs in your `models.py` file](https://github.com/valory-xyz/IEKit/blob/main/packages/valory/skills/impact_evaluator_abci/models.py#L88). You will also need to copy [some dataclasses to your rounds.py](https://github.com/valory-xyz/IEKit/blob/main/packages/valory/skills/twitter_scoring_abci/rounds.py#L66-L97).
+-   Import [MechInteractParams and MechResponseSpecs in your `models.py` file](https://github.com/valory-xyz/IEKit/blob/main/packages/valory/skills/impact_evaluator_abci/models.py#L88). You will also need to copy [some dataclasses to your rounds.py](https://github.com/valory-xyz/IEKit/blob/main/packages/valory/skills/twitter_scoring_abci/rounds.py#L66-L97).
 
-- Add mech_requests and mech_responses to your skills' `SynchonizedData` class ([see here](https://github.com/valory-xyz/IEKit/blob/main/packages/valory/skills/twitter_scoring_abci/rounds.py#L181-193))
+-   Add mech_requests and mech_responses to your skills' `SynchonizedData` class ([see here](https://github.com/valory-xyz/IEKit/blob/main/packages/valory/skills/twitter_scoring_abci/rounds.py#L181-193))
 
-- To send a request, [prepare the request metadata](https://github.com/valory-xyz/IEKit/blob/main/packages/valory/skills/twitter_scoring_abci/behaviours.py#L857), write it to [`synchronized_data.mech_requests`](https://github.com/valory-xyz/IEKit/blob/main/packages/valory/skills/twitter_scoring_abci/rounds.py#L535) and [transition into mech_interact](https://github.com/valory-xyz/IEKit/blob/main/packages/valory/skills/twitter_scoring_abci/rounds.py#L736).
+-   To send a request, [prepare the request metadata](https://github.com/valory-xyz/IEKit/blob/main/packages/valory/skills/twitter_scoring_abci/behaviours.py#L857), write it to [`synchronized_data.mech_requests`](https://github.com/valory-xyz/IEKit/blob/main/packages/valory/skills/twitter_scoring_abci/rounds.py#L535) and [transition into mech_interact](https://github.com/valory-xyz/IEKit/blob/main/packages/valory/skills/twitter_scoring_abci/rounds.py#L736).
 
-- You will need to appropriately chain the `mech_interact_abci` skill with your other skills ([see here](https://github.com/valory-xyz/IEKit/blob/main/packages/valory/skills/impact_evaluator_abci/composition.py#L66)) and `transaction_settlement_abci`.
+-   You will need to appropriately chain the `mech_interact_abci` skill with your other skills ([see here](https://github.com/valory-xyz/IEKit/blob/main/packages/valory/skills/impact_evaluator_abci/composition.py#L66)) and `transaction_settlement_abci`.
 
-- After the interaction finishes, the responses will be inside [`synchronized_data.mech_responses`](https://github.com/valory-xyz/IEKit/blob/main/packages/valory/skills/twitter_scoring_abci/behaviours.py#L903)
+-   After the interaction finishes, the responses will be inside [`synchronized_data.mech_responses`](https://github.com/valory-xyz/IEKit/blob/main/packages/valory/skills/twitter_scoring_abci/behaviours.py#L903)
 
 For a complete list of required changes, [use this PR as reference](https://github.com/valory-xyz/market-creator/pull/91).
 
@@ -215,6 +231,7 @@ You can create and mint your own AI Mech that handles requests for tasks that yo
     ```
 
     - **Input**: Keyword arguments (`**kwargs`). The `kwargs` object is guaranteed to contain the following keys:
+
         - `tool` (`kwargs["tool"]`): A string specifying the (sub-)tool to be used. The `run` command must parse this input and execute the task corresponding to the particular sub-tool referenced. These sub-tools will allow the user to fine-tune the use of your tool.
         - `prompt` (`kwargs["prompt"]`): A string containing the user prompt.
         - `api_keys` (`kwargs["api_keys"]`): A dictionary containing the API keys required by your tool:
@@ -224,29 +241,31 @@ You can create and mint your own AI Mech that handles requests for tasks that yo
             ```
 
     - **Output**: It must **always** return a tuple (`Tuple[str, Optional[str], Optional[Dict[str, Any]], Any, Any]`):
+
         - `result_str`: A string-serialized JSON object containing the result of the tool execution (custom format).
         - `prompt_used`: A string representing the prompt used internally by the tool. This output is only used for analytics and it can be set to `None`.
         - `generated_tx`: A dictionary containing the fields of a generated transaction to be submitted following the execution of the tool (e.g., a token transfer). It can be set to `None`. Template of a generated transaction:
 
             ```json
-          {
+            {
               "to": TARGET_ADDRESS,       # must be provided
               "value": VALUE_TO_TRANSFER, # default value is 0
               "data": TX_DATA,            # default value is b' '
               "operation": CALL_OR_DELEGATE_CALL, # default value is CALL
-          }
-          ```
+            }
+            ```
 
         - `counter_callback`: Object to be called for calculating the cost when making requests to this tool. It can be set to `None`.
         - `keychain`: The object handling the keys. Note that if you use the `with_key_rotation` decorator, you don't need to return this.
+
     - **Exceptions**: A compliant implementation of the `run` function must capture any exception raised during its execution and return it appropriately, for example as an error code in `result_str`. If `run` raises an exception the Mech will capture and output an `Invalid response` string.
 
-   - **Dependencies**: If your tool introduces new dependencies, you must add them in the following three places:
-      - [pyproject.toml](./pyproject.toml): Add your dependencies under the `[tool.poetry.dependencies]` section.
-      - [tox.ini](./tox.ini): Add your dependencies under the `[testenv]deps` section.
-      - [aea-config.yaml](./packages/valory/agents/mech/aea-config.yaml): Ensure your dependencies are listed under the `dependencies` key.
+    - **Dependencies**: If your tool introduces new dependencies, you must add them in the following three places:
+        - [pyproject.toml](./pyproject.toml): Add your dependencies under the `[tool.poetry.dependencies]` section.
+        - [tox.ini](./tox.ini): Add your dependencies under the `[testenv]deps` section.
+        - [aea-config.yaml](./packages/valory/agents/mech/aea-config.yaml): Ensure your dependencies are listed under the `dependencies` key.
 
-3. **Upload the tool file to IPFS.** You can push your tool to IPFS like the other packages:
+2. **Upload the tool file to IPFS.** You can push your tool to IPFS like the other packages:
 
     ```bash
     autonomy push-all
@@ -263,21 +282,21 @@ You can create and mint your own AI Mech that handles requests for tasks that yo
 
     Your tool will be available on [packages.json](packages/packages.json).
 
-4. **Configure your service.** Edit the `.env` file. The demo service has this configuration:
+3. **Configure your service.** Edit the `.env` file. The demo service has this configuration:
 
     ```bash
-    FILE_HASH_TO_TOOLS=[["bafybeiaodddyn4eruafqg5vldkkjfglj7jg76uvyi5xhi2cysktlu4w6r4",["openai-gpt-3.5-turbo-instruct","openai-gpt-3.5-turbo","openai-gpt-4"]],["bafybeiepc5v4ixwuu5m6p5stck5kf2ecgkydf6crj52i5umnl2qm5swb4i",["stabilityai-stable-diffusion-v1-5","stabilityai-stable-diffusion-xl-beta-v2-2-2","stabilityai-stable-diffusion-512-v2-1","stabilityai-stable-diffusion-768-v2-1"]]]
-    API_KEYS=[["openai","dummy_api_key"],["stabilityai","dummy_api_key"]]
+    TOOLS_TO_PACKAGE_HASH="{"openai-gpt-3.5-turbo-instruct":"bafybeigz5brshryms5awq5zscxsxibjymdofm55dw5o6ud7gtwmodm3vmq","openai-gpt-3.5-turbo":"bafybeigz5brshryms5awq5zscxsxibjymdofm55dw5o6ud7gtwmodm3vmq","openai-gpt-4":"bafybeigz5brshryms5awq5zscxsxibjymdofm55dw5o6ud7gtwmodm3vmq"}"
+    API_KEYS="{"openai":"dummy_api_key", "google_api_key":"dummy_api_key"}"
     ```
 
-    To add your new tool with hash `<your_tool_hash>` and sub-tool list `[a, b, c]` and API key `<your_api_key>` simply update the variables above to:
+    To add your new tool with hash `<your_tool_hash>` and API key `<your_api_key>` simply update the variables above to:
 
     ```bash
-    FILE_HASH_TO_TOOLS=[[<your_tool_hash>, [a, b, c]],["bafybeiaodddyn4eruafqg5vldkkjfglj7jg76uvyi5xhi2cysktlu4w6r4",["openai-gpt-3.5-turbo-instruct","openai-gpt-3.5-turbo","openai-gpt-4"]],["bafybeiepc5v4ixwuu5m6p5stck5kf2ecgkydf6crj52i5umnl2qm5swb4i",["stabilityai-stable-diffusion-v1-5","stabilityai-stable-diffusion-xl-beta-v2-2-2","stabilityai-stable-diffusion-512-v2-1","stabilityai-stable-diffusion-768-v2-1"]]]
-    API_KEYS=[[openai, dummy_api_key],[<your_api_key_id>, <your_api_key>]]
+    TOOLS_TO_PACKAGE_HASH="{"openai-gpt-3.5-turbo-instruct":"bafybeigz5brshryms5awq5zscxsxibjymdofm55dw5o6ud7gtwmodm3vmq","openai-gpt-3.5-turbo":"bafybeigz5brshryms5awq5zscxsxibjymdofm55dw5o6ud7gtwmodm3vmq","openai-gpt-4":"bafybeigz5brshryms5awq5zscxsxibjymdofm55dw5o6ud7gtwmodm3vmq", "openai-gpt-4": <your_tool_hash>}"
+    API_KEYS="{"openai":"dummy_api_key", "google_api_key":"dummy_api_key", <your_api_key_id>:<your_api_key>}"
     ```
 
-5. **Mint your agent service** in the [Autonolas Protocol](https://registry.olas.network/ethereum/services/mint), and create a Mech for it in [Mech Hub](https://aimechs.autonolas.network/factory). This will allow you to set the `SAFE_CONTRACT_ADDRESS` and `AGENT_MECH_CONTRACT_ADDRESS` in the `.1env` file.
+4. **Mint your agent service** in the [Autonolas Protocol](https://registry.olas.network/ethereum/services/mint), and create a Mech for it in [Mech Hub](https://aimechs.autonolas.network/factory). This will allow you to set the `SAFE_CONTRACT_ADDRESS` and `AGENT_MECH_CONTRACT_ADDRESS` in the `.1env` file.
 
     > **Warning**
     > AI Mechs run on the [Gnosis chain](https://www.gnosis.io/). You must ensure that your wallet is connected to the [Gnosis chain](https://www.gnosis.io/) before using the [Autonolas Protocol](https://registry.olas.network/ethereum/services/mint) and [Mech Hub](https://aimechs.autonolas.network/factory).
@@ -286,57 +305,35 @@ You can create and mint your own AI Mech that handles requests for tasks that yo
 
     ```json
     {
-      "name": "Autonolas Mech III",
-      "description": "The mech executes AI tasks requested on-chain and delivers the results to the requester.",
-      "inputFormat": "ipfs-v0.1",
-      "outputFormat": "ipfs-v0.1",
-      "image": "tbd",
-      "tools": ["openai-gpt-3.5-turbo-instruct", "openai-gpt-3.5-turbo", "openai-gpt-4"]
+    	"name": "Autonolas Mech III",
+    	"description": "The mech executes AI tasks requested on-chain and delivers the results to the requester.",
+    	"inputFormat": "ipfs-v0.1",
+    	"outputFormat": "ipfs-v0.1",
+    	"image": "tbd",
+    	"tools": [
+    		"openai-gpt-3.5-turbo-instruct",
+    		"openai-gpt-3.5-turbo",
+    		"openai-gpt-4"
+    	]
     }
     ```
 
-6. **Run your service.** You can take a look at the `run_service.sh` script and execute your service locally as [above](#option-2-run-the-mech-as-an-agent-service).
+5. **Run your service.** You can take a look at the `run_service.sh` script and execute your service locally as [above](#option-2-run-the-mech-as-an-agent-service).
 
     Once your service works locally, you have the option to run it on a hosted service like [Propel](https://propel.valory.xyz/).
 
 ## Included tools
 
-| Tools |
-|---|
-| packages/jhehemann/customs/prediction_sum_url_content |
-| packages/napthaai/customs/prediction_request_rag |
-| packages/napthaai/customs/resolve_market_reasoning |
-| packages/nickcom007/customs/prediction_request_sme |
-| packages/nickcom007/customs/sme_generation_request |
-| packages/polywrap/customs/prediction_with_research_report |
-| packages/psouranis/customs/optimization_by_prompting |
-| packages/valory/customs/native_transfer_request |
+| Tools                                  |
+| -------------------------------------- |
 | packages/valory/customs/openai_request |
-| packages/valory/customs/prediction_request |
-| packages/valory/customs/prediction_request_claude |
-| packages/valory/customs/prediction_request_embedding |
-| packages/valory/customs/resolve_market |
-| packages/valory/customs/stability_ai_request |
 
 ## More on tools
 
-- **OpenAI request** (`openai_request.py`). Executes requests to the OpenAI API through the engine associated with the specific tool. It receives as input an arbitrary prompt and outputs the returned output by the OpenAI API.
-  - `openai-gpt-3.5-turbo`
-  - `openai-gpt-4`
-  - `openai-gpt-3.5-turbo-instruct`
-
-- **Stability AI request** (`stabilityai_request.py`): Executes requests to the Stability AI through the engine associated with the specific tool. It receives as input an arbitrary prompt and outputs the image data corresponding to the output of Stability AI.
-  - `stabilityai-stable-diffusion-v1-5`
-  - `stabilityai-stable-diffusion-xl-beta-v2-2-2`
-  - `stabilityai-stable-diffusion-512-v2-1`
-  - `stabilityai-stable-diffusion-768-v2-1`
-
-- **Native transfer request** (`native_transfer_request.py`): Parses user prompt in natural language as input into an Ethereum transaction.
-  - `transfer_native`
-
-- **Prediction request** (`prediction_request.py`): Outputs the estimated probability of occurrence (`p_yes`) or no occurrence (`p_no`) of a certain event specified as the input prompt in natural language.
-  - `prediction-offline`: Uses only training data of the model to make the prediction.
-  - `prediction-online`: In addition to training data, it also uses online information to improve the prediction.
+-   **OpenAI request** (`openai_request.py`). Executes requests to the OpenAI API through the engine associated with the specific tool. It receives as input an arbitrary prompt and outputs the returned output by the OpenAI API.
+    -   `openai-gpt-3.5-turbo`
+    -   `openai-gpt-4`
+    -   `openai-gpt-3.5-turbo-instruct`
 
 ## How key files look
 
@@ -350,12 +347,12 @@ Make sure you don't have any extra characters in the file, like newlines or spac
 
 ## Examples of deployed Mechs
 
-| Network   | Service                                            | Mech Instance (Nevermined Pricing) - Agent Id                                          | Mech Instance (Fixed Pricing) - Agent Id           |
-|:---------:|----------------------------------------------------|--------------------------------------------------|----------------------------------------------------|
-| Ethereum  | https://registry.olas.network/ethereum/services/21 | n/a                                                 | n/a                                                |
-| Gnosis    | https://registry.olas.network/gnosis/services/3    | `0x327E26bDF1CfEa50BFAe35643B23D5268E41F7F9`  - 3  | `0x77af31De935740567Cf4fF1986D04B2c964A786a` - 6   |
-| Arbitrum  | https://registry.olas.network/arbitrum/services/1  | `0x0eA6B3137f294657f0E854390bb2F607e315B82c`  - 1  | `0x1FDAD3a5af5E96e5a64Fc0662B1814458F114597` - 2   |
-| Polygon   | https://registry.olas.network/polygon/services/3   | `0xCF1b5Db1Fa26F71028dA9d0DF01F74D4bbF5c188`  - 1  | `0xbF92568718982bf65ee4af4F7020205dE2331a8a` - 2  |
-| Base      | https://registry.olas.network/base/services/1      | `0x37C484cc34408d0F827DB4d7B6e54b8837Bf8BDA`  - 1  | `0x111D7DB1B752AB4D2cC0286983D9bd73a49bac6c` - 2  |
-| Celo      | https://registry.olas.network/celo/services/1      | `0xeC20694b7BD7870d2dc415Af3b349360A6183245`  - 1  | `0x230eD015735c0D01EA0AaD2786Ed6Bd3C6e75912` - 2  |
-| Optimism  | https://registry.olas.network/optimism/services/1  | `0xbA4491C86705e8f335Ceaa8aaDb41361b2F82498`  - 1  | `0xDd40E7D93c37eFD860Bd53Ab90b2b0a8D05cf71a` - 2  |
+| Network  | Service                                               | Mech Instance (Nevermined Pricing) - Agent Id    | Mech Instance (Fixed Pricing) - Agent Id         |
+| :------: | ----------------------------------------------------- | ------------------------------------------------ | ------------------------------------------------ |
+| Ethereum | https://registry.olas.network/ethereum/services/21    | n/a                                              | n/a                                              |
+|  Gnosis  | https://registry.olas.network/gnosis/services/3       | `0x327E26bDF1CfEa50BFAe35643B23D5268E41F7F9` - 3 | `0x77af31De935740567Cf4fF1986D04B2c964A786a` - 6 |
+| Arbitrum | https://registry.olas.network/arbitrum-one/services/1 | `0x0eA6B3137f294657f0E854390bb2F607e315B82c` - 1 | `0x1FDAD3a5af5E96e5a64Fc0662B1814458F114597` - 2 |
+| Polygon  | https://registry.olas.network/polygon/services/3      | `0xCF1b5Db1Fa26F71028dA9d0DF01F74D4bbF5c188` - 1 | `0xbF92568718982bf65ee4af4F7020205dE2331a8a` - 2 |
+|   Base   | https://registry.olas.network/base/services/1         | `0x37C484cc34408d0F827DB4d7B6e54b8837Bf8BDA` - 1 | `0x111D7DB1B752AB4D2cC0286983D9bd73a49bac6c` - 2 |
+|   Celo   | https://registry.olas.network/celo/services/1         | `0xeC20694b7BD7870d2dc415Af3b349360A6183245` - 1 | `0x230eD015735c0D01EA0AaD2786Ed6Bd3C6e75912` - 2 |
+| Optimism | https://registry.olas.network/optimism/services/1     | `0xbA4491C86705e8f335Ceaa8aaDb41361b2F82498` - 1 | `0xDd40E7D93c37eFD860Bd53Ab90b2b0a8D05cf71a` - 2 |