# Loan Offers

Use this endpoint to get a user's loan limit based on their credit score.

## Loan Offers

<mark style="color:green;">`POST`</mark> `{{BASE_URL}}/mfi/v1/borrowers/options`

Get user's loan limit

#### Headers

| Name                                            | Type   | Description                  |
| ----------------------------------------------- | ------ | ---------------------------- |
| Authorization<mark style="color:red;">\*</mark> | string | Generated from Auth endpoint |

#### Request Body

| Name                                         | Type   | Description                     |
| -------------------------------------------- | ------ | ------------------------------- |
| channel<mark style="color:red;">\*</mark>    | string | Client Name provided by Pezesha |
| identifier<mark style="color:red;">\*</mark> | string | Merchant ID                     |

{% tabs %}
{% tab title="200 Successful response" %}

```javascript
{
    "status": 200,
    "response_code": 0,
    "error": false,
    "message": "Merchant Decision Options",
    "data": {
        "amount": 10000,
        "rate": "0.50",
        "fee": 100,
        "duration": 7,
        "interest": 50
    }
}
```

{% endtab %}

{% tab title="202 HTTP 200: OK" %}

```javascript
{
  "error": true,
  "status": 200,
  "response_code": 0,
  "message": "Unable to get loan offers at this point"
}

```

{% endtab %}
{% endtabs %}

```javascript
{
    "identifier": "1154980",
    "channel": "Partner Name"
}
```


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.pezesha.com/loan-offers.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.