Fetch More

The Fetch More endpoint allows you to retrieve additional results for an existing media watcher case. If there are more results available for a previously created case, this endpoint will initiate a new request to fetch the additional data.

Endpoint: https://api.amlwatcher.com/api/adverse-media/fetch-more

Method: POST

HTTP

Sample Request

POST /api/adverse-media/fetch-more HTTP/1.1
Host: api.amlwatcher.com
Authorization: Bearer Token
Content-Type: application/json
Content-Length: 573

{
    "adverse_search_reference": "ddabd3c2ae8f1633f1edbb11"
}

Javascript

Sample Request

var myHeaders = new Headers();
myHeaders.append("Authorization", "Bearer Token");
myHeaders.append("Content-Type", "application/json");

var raw = JSON.stringify({
  adverse_search_reference: "ddabd3c2ae8f1633f1edbb11",
});

var requestOptions = {
  method: "POST",
  headers: myHeaders,
  body: raw,
  redirect: "follow",
};

fetch("https://api.amlwatcher.com/api/adverse-media/fetch-more", requestOptions)
  .then((response) => response.text())
  .then((result) => console.log(result))
  .catch((error) => console.log("error", error));

PHP

Sample Request

<?php

$curl = curl_init();

curl_setopt_array($curl, array(
  CURLOPT_URL => 'https://api.amlwatcher.com/api/adverse-media/fetch-more',
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => '',
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 0,
  CURLOPT_FOLLOWLOCATION => true,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => 'POST',
  CURLOPT_POSTFIELDS =>'{
    "adverse_search_reference": "ddabd3c2ae8f1633f1edbb11"
}',
  CURLOPT_HTTPHEADER => array(
    'Content-Type: application/json'
  ),
));

$response = curl_exec($curl);

curl_close($curl);
echo $response;

Python

Sample Request

import requests
import json

url = "https://api.amlwatcher.com/api/adverse-media/fetch-more"

payload = json.dumps({
    "adverse_search_reference": "ddabd3c2ae8f1633f1edbb11"
})
headers = {
  'Authorization': 'Bearer Token',
  'Content-Type': 'application/json'
}

response = requests.request("POST", url, headers=headers, data=payload)

print(response.text)

Ruby

Sample Request

require "uri"
require "json"
require "net/http"

url = URI("https://api.amlwatcher.com/api/adverse-media/fetch-more")

https = Net::HTTP.new(url.host, url.port)
https.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Content-Type"] = "application/json"
request.body = JSON.dump({
    "adverse_search_reference": "ddabd3c2ae8f1633f1edbb11"
})

response = https.request(request)
puts response.read_body

Java

Sample Request

import java.io.DataOutputStream;
import java.io.BufferedReader;
import java.io.InputStreamReader;
import java.net.HttpURLConnection;
import java.net.URL;

public class Main {
    public static void main(String[] args) {
        HttpURLConnection connection = null;
        DataOutputStream outputStream = null;

        try {
            // Define the URL
            URL url = new URL("https://api.amlwatcher.com/api/adverse-media/fetch-more");

            // Open a connection to the URL
            connection = (HttpURLConnection) url.openConnection();

            // Set the request method to POST
            connection.setRequestMethod("POST");

            // Set the request headers
            connection.setRequestProperty("Content-Type", "application/json");
            connection.setRequestProperty("Authorization", "Bearer Token");

            // Enable input/output streams
            connection.setDoOutput(true);

            // Define the JSON request body
            String jsonPayload = "{\n" +
                "    \"adverse_search_reference\": \"ddabd3c2ae8f1633f1edbb11\",\n" +
                "}";

            // Write the JSON request body
            outputStream = new DataOutputStream(connection.getOutputStream());
            outputStream.writeBytes(jsonPayload);
            outputStream.flush();

            // Get the response code
            int responseCode = connection.getResponseCode();
            System.out.println("Response Code: " + responseCode);

            BufferedReader in;
                if (responseCode >= 200 && responseCode < 300) {
                    in = new BufferedReader(new InputStreamReader(connection.getInputStream()));
                } else {
                    in = new BufferedReader(new InputStreamReader(connection.getErrorStream()));
                }

                String inputLine;
                StringBuilder response = new StringBuilder();
                while ((inputLine = in.readLine()) != null) {
                    response.append(inputLine);
                }
                in.close();

                System.out.println("Response: " + response.toString());

                connection.disconnect();

            } catch (Exception e) {
                e.printStackTrace();
            }
        }
    }

cURL

Sample Request

curl --location --request POST 'https://api.amlwatcher.com/api/adverse-media/fetch-more'
--header 'Content-Type: application/json'
--data '{
    "adverse_search_reference": "ddabd3c2ae8f1633f1edbb11"
}'

C#

Sample Request

using RestSharp;
using System;
using System.Threading.Tasks;

class Program
{
    static async Task Main(string[] args)
    {
        var options = new RestClientOptions("https://api.amlwatcher.com")
        {
            ThrowOnAnyError = true,
            Timeout = TimeSpan.FromMilliseconds(-1),
        };
        var client = new RestClient(options);

        var request = new RestRequest("/api/adverse-media/fetch-more", Method.Post);
        request.AddHeader("Content-Type", "application/json");

        var body = new
        {
            adverse_search_reference= "ddabd3c2ae8f1633f1edbb11"
        };

        request.AddJsonBody(body);

        RestResponse response = await client.ExecuteAsync(request);
        Console.WriteLine(response.Content);
    }
}

Go

Sample Request

package main

import (
  "fmt"
  "strings"
  "net/http"
  "io/ioutil"
)

func main() {

  url := "https://api.amlwatcher.com/api/adverse-media/fetch-more"
  method := "POST"

  payload := strings.NewReader(`{
    "adverse_search_reference": "ddabd3c2ae8f1633f1edbb11"
  }`)

  client := &http.Client {
  }
  req, err := http.NewRequest(method, url, payload)

  if err != nil {
    fmt.Println(err)
    return
  }
  req.Header.Add("Content-Type", "application/json")

  res, err := client.Do(req)
  if err != nil {
    fmt.Println(err)
    return
  }
  defer res.Body.Close()

  body, err := ioutil.ReadAll(res.Body)
  if err != nil {
    fmt.Println(err)
    return
  }
  fmt.Println(string(body))
}

Request

Parameters	Required	Type	Description
adverse_search_reference	Yes	String	The unique reference ID of the media watcher case for which to fetch more results.

Response

Parameters	Description
error	Whenever there is an error in your request, this param will have details of that error; otherwise it’ll remain empty.
status	The status field is set to either “SUCCESS” or “FAIL”, indicating that the API request resulted in a successful or failure/error condition respectively.
data	An array containing the actual response elements.

Sample Response

{
  "error": false,
  "status": "SUCCESS",
  "data": {
    "adverse_search_reference": "814ee9e06cb4f236027f13a2",
    "created_at": "Wed, 01 Jan 2025 05:12:52 GMT",
    "more_results_available": false,
    "results": [
      {
        "description": "The White House has downplayed the comments, saying the president 'values' India and Japan's friendship.",
        "link": "https://www.bbc.com/news/world-us-canada-68947042",
        "media_response": {
          "adverse_keywords": [
            "xenophobic",
            "insult",
            "criticism",
            "controversy",
            "offence"
          ],
          "adverse_media_status": true,
          "author_name": "",
          "category": "Political Corruption",
          "entity_relevance": true,
          "entity_type": "person",
          "industry": "Not Applicable",
          "occupation": "President",
          "publication_date": null,
          "sentiment": "Slightly Negative",
          "sentiment_analysis": "President Biden's remarks labeling Japan and India as 'xenophobic' have sparked controversy. While the White House claims no offense was intended, the comments have drawn criticism for potentially damaging US relationships with key allies.  The incident highlights the sensitivity surrounding immigration policies and international diplomacy.",
          "sentiment_impact": "negative",
          "sentiment_score": -1
        },
        "new_record": true,
        "thumbnail": "https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRYYxTHVxe-c2VlRGHc2ElqzRDV5wkDUOvOHXDRXz0Aa7x7QNy0vUj6k2ny&s",
        "title": "Joe Biden calls US allies India and Japan 'xenophobic'"
      },
      {
        "description": "President’s son is accused of avoiding at least $1.4m in taxes while enjoying lucrative income from business dealings.",
        "link": "https://www.aljazeera.com/news/2024/9/5/hunter-biden-set-to-plead-guilty-in-us-federal-tax-case",
        "media_response": {
          "adverse_keywords": [
            "tax evasion",
            "guilty plea",
            "misdemeanor",
            "felony",
            "gun charges",
            "fraud",
            "drug",
            "escorts"
          ],
          "adverse_media_status": true,
          "author_name": "Al Jazeera",
          "category": "Financial Crimes",
          "entity_relevance": true,
          "entity_type": "person",
          "industry": "Others",
          "occupation": "Others",
          "publication_date": null,
          "sentiment": "Moderately Negative",
          "sentiment_analysis": "The article centers on Hunter Biden's guilty plea to federal tax evasion charges, involving significant unpaid taxes and alleged spending on personal luxuries.  The case is highly relevant to his father, President Joe Biden, particularly given its timing during the election cycle and accusations of leveraging political influence for business dealings. This directly implicates Hunter Biden in adverse media.",
          "sentiment_impact": "negative",
          "sentiment_score": -2
        },
        "thumbnail": "https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTgdz05NJLI4m3ZNSLzpKqKWdltzAWELUo9dGN8AWsmSxfB_RgR1prQH8g&s",
        "title": "Hunter Biden pleads guilty in US federal tax evasion case"
      },
      {
        "description": "Biden ended his first presidential campaign during a break in the confirmation hearings of Supreme Court nominee Robert Bork. As chair of the Senate Judiciary Committee, Biden sunk the nomination.",
        "link": "https://www.npr.org/2019/12/21/789323826/for-joe-biden-1987-brought-triumph-in-the-wake-of-political-setback",
        "media_response": {
          "adverse_keywords": ["plagiarism", "scandal"],
          "adverse_media_status": true,
          "author_name": "NPR",
          "category": "Misconduct",
          "entity_relevance": true,
          "entity_type": "person",
          "industry": "Not Applicable",
          "occupation": "Politician",
          "publication_date": null,
          "sentiment": "Slightly Negative",
          "sentiment_analysis": "The article discusses Joe Biden's withdrawal from the 1988 presidential race due to plagiarism charges.  While it also highlights his success in blocking Robert Bork's Supreme Court nomination, the primary focus is on the negative impact of the plagiarism scandal on his campaign. The sentiment is negative due to the scandal and its impact on Biden's presidential aspirations.",
          "sentiment_impact": "negative",
          "sentiment_score": -1
        },
        "thumbnail": "https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTAawVPbrve1LiYkwbYeVqMOIzwKoIOuWoVhyr_AFzoTIk-3eeN70V18f53&s",
        "title": "For Joe Biden, 1987 Brought Triumph In The Wake Of Political Setback"
      }
    ],
    "search_filters": {
      "country": "United States",
      "data_duration": {
        "number": "10",
        "unit": "years"
      },
      "keywords_criteria": {
        "any": "court force",
        "exclude": "corrupt",
        "include": "politics"
      },
      "language": "English",
      "name": "Joe Biden",
      "search_type": "exact_match",
      "sources_criteria": {}
    },
    "summary": {
      "adverse_categories": {
        "Financial Crimes": 1,
        "Misconduct": 1
      },
      "adverse_keywords": {
        "drug": 1,
        "escorts": 1,
        "felony": 1,
        "fraud": 1,
        "guilty plea": 1,
        "gun charges": 1,
        "misdemeanor": 1,
        "plagiarism": 1,
        "scandal": 1,
        "tax evasion": 1
      },
      "entity_type": "person",
      "industry": ["Not Applicable", "Others"],
      "occupations": ["Politician", "Others"],
      "sentiment": "Moderately Negative",
      "sentiment_score": -2
    },
    "total_results": 3
  }
}

Response

Parameter	Description
error	Indicates whether an error occurred during the API request. In this response, "error": false signifies that the request was successful without any issues.
status	The status of the API request, confirming its success as "SUCCESS" in this response.
data	The main payload containing detailed information retrieved from the API, encompassing the search metadata, results, and summary.
data.adverse_search_reference	The unique reference ID for the adverse media search. This ID can be used to track or reference the search request.
data.created_at	The date and time when the search was created in GMT format ("Tue, 29 Oct 2024 10:35:00 GMT").
data.match_status	The status of the match. "Potential Match" indicates that the searched case is a match.
data.more_results_available	A boolean indicating if there are more results available than are provided in the current response. true here implies additional results are accessible beyond the three returned.
data.results	An array of objects where each entry provides specific information about an article or piece of media related to the entity (e.g., adverse media reports on Nawaz Sharif).
data.results[].description	A brief description or excerpt of the article's content, providing context about the adverse media topic.
data.results[].link	The direct URL to the source article, allowing users to view the full content.
data.results[].media_response	An object containing detailed information about the adverse media findings, including keywords, sentiment analysis, and the adverse media status.
data.results[].media_response.adverse_keywords	An array of keywords associated with adverse mentions in the article, such as "corruption" and "arrest".
data.results[].media_response.adverse_media_status	A boolean or string indicating if the article qualifies as adverse media. true or "TRUE" signifies adverse media was detected.
data.results[].media_response.author_name	The author or publishing entity of the article (e.g., "NDTV.com").
data.results[].media_response.category	The category of the adverse event (e.g., "Financial Crimes"), providing context for the nature of the media coverage.
data.results[].media_response.entity_relevance	A boolean indicating if the entity is relevant to the adverse media, with true signifying direct relevance.
data.results[].media_response.entity_type	The type of entity discussed in the article, such as "Person".
data.results[].media_response.occupation	The occupation of the entity, here indicating "Politician".
data.results[].media_response.publication_date	The date when the article was published, if available.
data.results[].media_response.sentiment_analysis	A summary describing the sentiment of the article, such as accusations or legal challenges involving the entity, and its implication on the entity’s reputation.
data.results[].media_response.sentiment_impact	The impact of the article’s sentiment, typically "negative" in adverse media contexts.
data.results[].media_response.sentiment_score	A numeric sentiment score, with values closer to zero generally indicating negative sentiment.
data.results[].source_country	The country of origin for the article or media source (e.g., "India").
data.results[].new_record	A boolean value indicating whether the record is new as a result of the "fetch more" API call. If true, the record is new.
data.results[].thumbnail	A URL to a thumbnail image representing the article, if available.
data.results[].title	The title of the article, giving a brief headline or subject of the content.
data.search_filters	Object containing the search filters applied to the adverse media search, like keywords and time duration.
data.search_filters.country	The country filter applied in the search, if specified.
data.search_filters.data_duration	Object defining the duration of data for the search, including "number" (e.g., 1) and "unit" (e.g., "days").
data.search_filters.keywords_criteria	Object defining the criteria for keywords included, excluded, or matched in any part of the search.
data.search_filters.language	The language filter applied in the search, if any.
data.search_filters.name	The entity name being searched, in this case, "nawaz sharif".
data.search_filters.search_type	The type of match used for the search, such as "exact_match".
data.search_filters.sources_criteria	Criteria defining the sources included in the search, if any.
data.summary	A summary object that consolidates adverse media insights, like categories, keywords, entity type, occupations, and sentiment.
data.summary.adverse_categories	Object with categories of adverse media identified in the results, showing counts per category (e.g., "Financial Crimes": 4).
data.summary.adverse_keywords	Object listing keywords that appear in the results, with counts showing frequency.
data.summary.entity_type	Specifies the entity type, "Person" in this context.
data.summary.occupations	An array of occupations associated with the entity (e.g., "Politician").
data.summary.sentiment_score	An aggregated sentiment score across all results, with lower values indicating generally negative sentiment.
data.total_results	The total number of results found in the search, providing a count (3 in this example).