cURL
curl --request POST \
--url https://tilt.io/api/v1/backchannel/dow-jones-archive/search \
--header 'Content-Type: application/json' \
--header 'X-Api-Key: <api-key>' \
--data '
{
"query": "<string>",
"vector_name": "content_vector",
"filters": {
"tickers": [
"<string>"
],
"isins": [
"<string>"
],
"tilt_asset_ids": [
"<string>"
],
"date": {
"min": "<string>",
"max": "<string>"
},
"docdate": 123,
"tilt_source": "<string>",
"publisher": "<string>",
"subject_codes": [
"<string>"
],
"industry_codes": [
"<string>"
],
"market_codes": [
"<string>"
],
"geo_codes": [
"<string>"
],
"company_codes": [
"<string>"
]
},
"limit": 20,
"min_score": 0.5,
"include_vectors": false,
"score": false
}
'import requests
url = "https://tilt.io/api/v1/backchannel/dow-jones-archive/search"
payload = {
"query": "<string>",
"vector_name": "content_vector",
"filters": {
"tickers": ["<string>"],
"isins": ["<string>"],
"tilt_asset_ids": ["<string>"],
"date": {
"min": "<string>",
"max": "<string>"
},
"docdate": 123,
"tilt_source": "<string>",
"publisher": "<string>",
"subject_codes": ["<string>"],
"industry_codes": ["<string>"],
"market_codes": ["<string>"],
"geo_codes": ["<string>"],
"company_codes": ["<string>"]
},
"limit": 20,
"min_score": 0.5,
"include_vectors": False,
"score": False
}
headers = {
"X-Api-Key": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'X-Api-Key': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
query: '<string>',
vector_name: 'content_vector',
filters: {
tickers: ['<string>'],
isins: ['<string>'],
tilt_asset_ids: ['<string>'],
date: {min: '<string>', max: '<string>'},
docdate: 123,
tilt_source: '<string>',
publisher: '<string>',
subject_codes: ['<string>'],
industry_codes: ['<string>'],
market_codes: ['<string>'],
geo_codes: ['<string>'],
company_codes: ['<string>']
},
limit: 20,
min_score: 0.5,
include_vectors: false,
score: false
})
};
fetch('https://tilt.io/api/v1/backchannel/dow-jones-archive/search', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://tilt.io/api/v1/backchannel/dow-jones-archive/search",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'query' => '<string>',
'vector_name' => 'content_vector',
'filters' => [
'tickers' => [
'<string>'
],
'isins' => [
'<string>'
],
'tilt_asset_ids' => [
'<string>'
],
'date' => [
'min' => '<string>',
'max' => '<string>'
],
'docdate' => 123,
'tilt_source' => '<string>',
'publisher' => '<string>',
'subject_codes' => [
'<string>'
],
'industry_codes' => [
'<string>'
],
'market_codes' => [
'<string>'
],
'geo_codes' => [
'<string>'
],
'company_codes' => [
'<string>'
]
],
'limit' => 20,
'min_score' => 0.5,
'include_vectors' => false,
'score' => false
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"X-Api-Key: <api-key>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://tilt.io/api/v1/backchannel/dow-jones-archive/search"
payload := strings.NewReader("{\n \"query\": \"<string>\",\n \"vector_name\": \"content_vector\",\n \"filters\": {\n \"tickers\": [\n \"<string>\"\n ],\n \"isins\": [\n \"<string>\"\n ],\n \"tilt_asset_ids\": [\n \"<string>\"\n ],\n \"date\": {\n \"min\": \"<string>\",\n \"max\": \"<string>\"\n },\n \"docdate\": 123,\n \"tilt_source\": \"<string>\",\n \"publisher\": \"<string>\",\n \"subject_codes\": [\n \"<string>\"\n ],\n \"industry_codes\": [\n \"<string>\"\n ],\n \"market_codes\": [\n \"<string>\"\n ],\n \"geo_codes\": [\n \"<string>\"\n ],\n \"company_codes\": [\n \"<string>\"\n ]\n },\n \"limit\": 20,\n \"min_score\": 0.5,\n \"include_vectors\": false,\n \"score\": false\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("X-Api-Key", "<api-key>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://tilt.io/api/v1/backchannel/dow-jones-archive/search")
.header("X-Api-Key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"query\": \"<string>\",\n \"vector_name\": \"content_vector\",\n \"filters\": {\n \"tickers\": [\n \"<string>\"\n ],\n \"isins\": [\n \"<string>\"\n ],\n \"tilt_asset_ids\": [\n \"<string>\"\n ],\n \"date\": {\n \"min\": \"<string>\",\n \"max\": \"<string>\"\n },\n \"docdate\": 123,\n \"tilt_source\": \"<string>\",\n \"publisher\": \"<string>\",\n \"subject_codes\": [\n \"<string>\"\n ],\n \"industry_codes\": [\n \"<string>\"\n ],\n \"market_codes\": [\n \"<string>\"\n ],\n \"geo_codes\": [\n \"<string>\"\n ],\n \"company_codes\": [\n \"<string>\"\n ]\n },\n \"limit\": 20,\n \"min_score\": 0.5,\n \"include_vectors\": false,\n \"score\": false\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://tilt.io/api/v1/backchannel/dow-jones-archive/search")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["X-Api-Key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"query\": \"<string>\",\n \"vector_name\": \"content_vector\",\n \"filters\": {\n \"tickers\": [\n \"<string>\"\n ],\n \"isins\": [\n \"<string>\"\n ],\n \"tilt_asset_ids\": [\n \"<string>\"\n ],\n \"date\": {\n \"min\": \"<string>\",\n \"max\": \"<string>\"\n },\n \"docdate\": 123,\n \"tilt_source\": \"<string>\",\n \"publisher\": \"<string>\",\n \"subject_codes\": [\n \"<string>\"\n ],\n \"industry_codes\": [\n \"<string>\"\n ],\n \"market_codes\": [\n \"<string>\"\n ],\n \"geo_codes\": [\n \"<string>\"\n ],\n \"company_codes\": [\n \"<string>\"\n ]\n },\n \"limit\": 20,\n \"min_score\": 0.5,\n \"include_vectors\": false,\n \"score\": false\n}"
response = http.request(request)
puts response.read_body{
"success": true,
"results": [
{
"id": 123,
"score": 123,
"payload": {},
"vectors": {},
"theme_relevance": 123,
"impact": 123,
"composite_score": 123
}
],
"total_results": 123,
"query": "<string>",
"vector_name": "<string>",
"min_score": 123,
"scored": true
}Dow Jones Archive
Search Dow Jones Archive
POST
/
api
/
v1
/
backchannel
/
dow-jones-archive
/
search
cURL
curl --request POST \
--url https://tilt.io/api/v1/backchannel/dow-jones-archive/search \
--header 'Content-Type: application/json' \
--header 'X-Api-Key: <api-key>' \
--data '
{
"query": "<string>",
"vector_name": "content_vector",
"filters": {
"tickers": [
"<string>"
],
"isins": [
"<string>"
],
"tilt_asset_ids": [
"<string>"
],
"date": {
"min": "<string>",
"max": "<string>"
},
"docdate": 123,
"tilt_source": "<string>",
"publisher": "<string>",
"subject_codes": [
"<string>"
],
"industry_codes": [
"<string>"
],
"market_codes": [
"<string>"
],
"geo_codes": [
"<string>"
],
"company_codes": [
"<string>"
]
},
"limit": 20,
"min_score": 0.5,
"include_vectors": false,
"score": false
}
'import requests
url = "https://tilt.io/api/v1/backchannel/dow-jones-archive/search"
payload = {
"query": "<string>",
"vector_name": "content_vector",
"filters": {
"tickers": ["<string>"],
"isins": ["<string>"],
"tilt_asset_ids": ["<string>"],
"date": {
"min": "<string>",
"max": "<string>"
},
"docdate": 123,
"tilt_source": "<string>",
"publisher": "<string>",
"subject_codes": ["<string>"],
"industry_codes": ["<string>"],
"market_codes": ["<string>"],
"geo_codes": ["<string>"],
"company_codes": ["<string>"]
},
"limit": 20,
"min_score": 0.5,
"include_vectors": False,
"score": False
}
headers = {
"X-Api-Key": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'X-Api-Key': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
query: '<string>',
vector_name: 'content_vector',
filters: {
tickers: ['<string>'],
isins: ['<string>'],
tilt_asset_ids: ['<string>'],
date: {min: '<string>', max: '<string>'},
docdate: 123,
tilt_source: '<string>',
publisher: '<string>',
subject_codes: ['<string>'],
industry_codes: ['<string>'],
market_codes: ['<string>'],
geo_codes: ['<string>'],
company_codes: ['<string>']
},
limit: 20,
min_score: 0.5,
include_vectors: false,
score: false
})
};
fetch('https://tilt.io/api/v1/backchannel/dow-jones-archive/search', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://tilt.io/api/v1/backchannel/dow-jones-archive/search",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'query' => '<string>',
'vector_name' => 'content_vector',
'filters' => [
'tickers' => [
'<string>'
],
'isins' => [
'<string>'
],
'tilt_asset_ids' => [
'<string>'
],
'date' => [
'min' => '<string>',
'max' => '<string>'
],
'docdate' => 123,
'tilt_source' => '<string>',
'publisher' => '<string>',
'subject_codes' => [
'<string>'
],
'industry_codes' => [
'<string>'
],
'market_codes' => [
'<string>'
],
'geo_codes' => [
'<string>'
],
'company_codes' => [
'<string>'
]
],
'limit' => 20,
'min_score' => 0.5,
'include_vectors' => false,
'score' => false
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"X-Api-Key: <api-key>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://tilt.io/api/v1/backchannel/dow-jones-archive/search"
payload := strings.NewReader("{\n \"query\": \"<string>\",\n \"vector_name\": \"content_vector\",\n \"filters\": {\n \"tickers\": [\n \"<string>\"\n ],\n \"isins\": [\n \"<string>\"\n ],\n \"tilt_asset_ids\": [\n \"<string>\"\n ],\n \"date\": {\n \"min\": \"<string>\",\n \"max\": \"<string>\"\n },\n \"docdate\": 123,\n \"tilt_source\": \"<string>\",\n \"publisher\": \"<string>\",\n \"subject_codes\": [\n \"<string>\"\n ],\n \"industry_codes\": [\n \"<string>\"\n ],\n \"market_codes\": [\n \"<string>\"\n ],\n \"geo_codes\": [\n \"<string>\"\n ],\n \"company_codes\": [\n \"<string>\"\n ]\n },\n \"limit\": 20,\n \"min_score\": 0.5,\n \"include_vectors\": false,\n \"score\": false\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("X-Api-Key", "<api-key>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://tilt.io/api/v1/backchannel/dow-jones-archive/search")
.header("X-Api-Key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"query\": \"<string>\",\n \"vector_name\": \"content_vector\",\n \"filters\": {\n \"tickers\": [\n \"<string>\"\n ],\n \"isins\": [\n \"<string>\"\n ],\n \"tilt_asset_ids\": [\n \"<string>\"\n ],\n \"date\": {\n \"min\": \"<string>\",\n \"max\": \"<string>\"\n },\n \"docdate\": 123,\n \"tilt_source\": \"<string>\",\n \"publisher\": \"<string>\",\n \"subject_codes\": [\n \"<string>\"\n ],\n \"industry_codes\": [\n \"<string>\"\n ],\n \"market_codes\": [\n \"<string>\"\n ],\n \"geo_codes\": [\n \"<string>\"\n ],\n \"company_codes\": [\n \"<string>\"\n ]\n },\n \"limit\": 20,\n \"min_score\": 0.5,\n \"include_vectors\": false,\n \"score\": false\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://tilt.io/api/v1/backchannel/dow-jones-archive/search")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["X-Api-Key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"query\": \"<string>\",\n \"vector_name\": \"content_vector\",\n \"filters\": {\n \"tickers\": [\n \"<string>\"\n ],\n \"isins\": [\n \"<string>\"\n ],\n \"tilt_asset_ids\": [\n \"<string>\"\n ],\n \"date\": {\n \"min\": \"<string>\",\n \"max\": \"<string>\"\n },\n \"docdate\": 123,\n \"tilt_source\": \"<string>\",\n \"publisher\": \"<string>\",\n \"subject_codes\": [\n \"<string>\"\n ],\n \"industry_codes\": [\n \"<string>\"\n ],\n \"market_codes\": [\n \"<string>\"\n ],\n \"geo_codes\": [\n \"<string>\"\n ],\n \"company_codes\": [\n \"<string>\"\n ]\n },\n \"limit\": 20,\n \"min_score\": 0.5,\n \"include_vectors\": false,\n \"score\": false\n}"
response = http.request(request)
puts response.read_body{
"success": true,
"results": [
{
"id": 123,
"score": 123,
"payload": {},
"vectors": {},
"theme_relevance": 123,
"impact": 123,
"composite_score": 123
}
],
"total_results": 123,
"query": "<string>",
"vector_name": "<string>",
"min_score": 123,
"scored": true
}Authorizations
Body
application/json
Minimum string length:
1Available options:
content_vector, headline_vector Show child attributes
Show child attributes
Required range:
1 <= x <= 100Required range:
0 <= x <= 1⌘I