Search Breakout Topics
Search breakout topics using hybrid vector + keyword search.
Supports three search modes:
- vector: Semantic similarity search using embeddings
- keyword: Full-text search using PostgreSQL tsvector
- hybrid: Combined vector and keyword search (default)
curl --request POST \
--url https://api.upriver.ai/v1/topics/breakout/search \
--header 'Content-Type: application/json' \
--header 'X-API-Key: <api-key>' \
--data '
{
"query": "<string>",
"vertical": "<string>",
"mode": "hybrid",
"surface_mode": "topic",
"limit": 20,
"include": [],
"include_citations": false,
"query_context": {
"source": "<string>",
"series_title": "<string>",
"market_subtitle": "<string>",
"competition": "<string>",
"competition_scope": "<string>",
"contract_tickers": [
"<string>"
],
"contract_titles": [
"<string>"
],
"contract_subtitles": [
"<string>"
]
},
"kalshi_event_url": "<string>",
"citation_sources": [],
"llm_relevance": true
}
'import requests
url = "https://api.upriver.ai/v1/topics/breakout/search"
payload = {
"query": "<string>",
"vertical": "<string>",
"mode": "hybrid",
"surface_mode": "topic",
"limit": 20,
"include": [],
"include_citations": False,
"query_context": {
"source": "<string>",
"series_title": "<string>",
"market_subtitle": "<string>",
"competition": "<string>",
"competition_scope": "<string>",
"contract_tickers": ["<string>"],
"contract_titles": ["<string>"],
"contract_subtitles": ["<string>"]
},
"kalshi_event_url": "<string>",
"citation_sources": [],
"llm_relevance": True
}
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>',
vertical: '<string>',
mode: 'hybrid',
surface_mode: 'topic',
limit: 20,
include: [],
include_citations: false,
query_context: {
source: '<string>',
series_title: '<string>',
market_subtitle: '<string>',
competition: '<string>',
competition_scope: '<string>',
contract_tickers: ['<string>'],
contract_titles: ['<string>'],
contract_subtitles: ['<string>']
},
kalshi_event_url: '<string>',
citation_sources: [],
llm_relevance: true
})
};
fetch('https://api.upriver.ai/v1/topics/breakout/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://api.upriver.ai/v1/topics/breakout/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>',
'vertical' => '<string>',
'mode' => 'hybrid',
'surface_mode' => 'topic',
'limit' => 20,
'include' => [
],
'include_citations' => false,
'query_context' => [
'source' => '<string>',
'series_title' => '<string>',
'market_subtitle' => '<string>',
'competition' => '<string>',
'competition_scope' => '<string>',
'contract_tickers' => [
'<string>'
],
'contract_titles' => [
'<string>'
],
'contract_subtitles' => [
'<string>'
]
],
'kalshi_event_url' => '<string>',
'citation_sources' => [
],
'llm_relevance' => true
]),
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://api.upriver.ai/v1/topics/breakout/search"
payload := strings.NewReader("{\n \"query\": \"<string>\",\n \"vertical\": \"<string>\",\n \"mode\": \"hybrid\",\n \"surface_mode\": \"topic\",\n \"limit\": 20,\n \"include\": [],\n \"include_citations\": false,\n \"query_context\": {\n \"source\": \"<string>\",\n \"series_title\": \"<string>\",\n \"market_subtitle\": \"<string>\",\n \"competition\": \"<string>\",\n \"competition_scope\": \"<string>\",\n \"contract_tickers\": [\n \"<string>\"\n ],\n \"contract_titles\": [\n \"<string>\"\n ],\n \"contract_subtitles\": [\n \"<string>\"\n ]\n },\n \"kalshi_event_url\": \"<string>\",\n \"citation_sources\": [],\n \"llm_relevance\": true\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://api.upriver.ai/v1/topics/breakout/search")
.header("X-API-Key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"query\": \"<string>\",\n \"vertical\": \"<string>\",\n \"mode\": \"hybrid\",\n \"surface_mode\": \"topic\",\n \"limit\": 20,\n \"include\": [],\n \"include_citations\": false,\n \"query_context\": {\n \"source\": \"<string>\",\n \"series_title\": \"<string>\",\n \"market_subtitle\": \"<string>\",\n \"competition\": \"<string>\",\n \"competition_scope\": \"<string>\",\n \"contract_tickers\": [\n \"<string>\"\n ],\n \"contract_titles\": [\n \"<string>\"\n ],\n \"contract_subtitles\": [\n \"<string>\"\n ]\n },\n \"kalshi_event_url\": \"<string>\",\n \"citation_sources\": [],\n \"llm_relevance\": true\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.upriver.ai/v1/topics/breakout/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 \"vertical\": \"<string>\",\n \"mode\": \"hybrid\",\n \"surface_mode\": \"topic\",\n \"limit\": 20,\n \"include\": [],\n \"include_citations\": false,\n \"query_context\": {\n \"source\": \"<string>\",\n \"series_title\": \"<string>\",\n \"market_subtitle\": \"<string>\",\n \"competition\": \"<string>\",\n \"competition_scope\": \"<string>\",\n \"contract_tickers\": [\n \"<string>\"\n ],\n \"contract_titles\": [\n \"<string>\"\n ],\n \"contract_subtitles\": [\n \"<string>\"\n ]\n },\n \"kalshi_event_url\": \"<string>\",\n \"citation_sources\": [],\n \"llm_relevance\": true\n}"
response = http.request(request)
puts response.read_body{
"search_mode": "<string>",
"surface_mode": "topic",
"topics": [
{
"topic_id": "<string>",
"topic_name": "<string>",
"canonical_name": "<string>",
"vertical": "<string>",
"status": "<string>",
"peak_score": 123,
"discovered_at": "2023-11-07T05:31:56Z",
"updated_at": "2023-11-07T05:31:56Z",
"category": "<string>",
"score": 123,
"relevance_score": 123,
"engagement": {
"percentile_score": 123
},
"confidence_score": 123,
"last_signal_at": "2023-11-07T05:31:56Z",
"source_summary": {},
"citations": [
{
"source_category": "<string>",
"source_url": "<string>",
"title": "<string>",
"display": "",
"snippet": "<string>",
"source_authority": 123,
"engagement_score": 123,
"published_at": "2023-11-07T05:31:56Z"
}
],
"entities": [
{
"canonical_name": "<string>",
"entity_type": "<string>",
"confidence": 123,
"entity_id": "<string>",
"entity_subtype": "<string>"
}
],
"trend": {
"momentum": 1
},
"citation_rate": [
{
"day": "<string>",
"count": 123
}
],
"narrative": {
"narrative_id": "<string>",
"display_name": "<string>",
"member_count": 123,
"arc_summary": [
"<string>"
]
},
"event_start_at": "2023-11-07T05:31:56Z",
"event_end_at": "2023-11-07T05:31:56Z"
}
],
"stories": [
{
"seed_topic": {
"topic_id": "<string>",
"topic_name": "<string>",
"canonical_name": "<string>",
"vertical": "<string>",
"status": "<string>",
"peak_score": 123,
"discovered_at": "2023-11-07T05:31:56Z",
"updated_at": "2023-11-07T05:31:56Z",
"category": "<string>",
"score": 123,
"relevance_score": 123,
"engagement": {
"percentile_score": 123
},
"confidence_score": 123,
"last_signal_at": "2023-11-07T05:31:56Z",
"source_summary": {},
"citations": [
{
"source_category": "<string>",
"source_url": "<string>",
"title": "<string>",
"display": "",
"snippet": "<string>",
"source_authority": 123,
"engagement_score": 123,
"published_at": "2023-11-07T05:31:56Z"
}
],
"entities": [
{
"canonical_name": "<string>",
"entity_type": "<string>",
"confidence": 123,
"entity_id": "<string>",
"entity_subtype": "<string>"
}
],
"trend": {
"momentum": 1
},
"citation_rate": [
{
"day": "<string>",
"count": 123
}
],
"narrative": {
"narrative_id": "<string>",
"display_name": "<string>",
"member_count": 123,
"arc_summary": [
"<string>"
]
},
"event_start_at": "2023-11-07T05:31:56Z",
"event_end_at": "2023-11-07T05:31:56Z"
},
"surface": {
"story_id": "<string>",
"member_topic_ids": [
"<string>"
],
"display_name": "<string>",
"story_score": 123,
"member_count": 123,
"lead_topic_id": "<string>",
"description": "<string>",
"latest_signal_at": "2023-11-07T05:31:56Z",
"coherence_score": 123,
"projection_refreshed_at": "2023-11-07T05:31:56Z"
},
"member_topics": [
{
"topic_id": "<string>",
"topic_name": "<string>",
"canonical_name": "<string>",
"vertical": "<string>",
"status": "<string>",
"peak_score": 123,
"discovered_at": "2023-11-07T05:31:56Z",
"updated_at": "2023-11-07T05:31:56Z",
"category": "<string>",
"score": 123,
"relevance_score": 123,
"engagement": {
"percentile_score": 123
},
"confidence_score": 123,
"last_signal_at": "2023-11-07T05:31:56Z",
"source_summary": {},
"citations": [
{
"source_category": "<string>",
"source_url": "<string>",
"title": "<string>",
"display": "",
"snippet": "<string>",
"source_authority": 123,
"engagement_score": 123,
"published_at": "2023-11-07T05:31:56Z"
}
],
"entities": [
{
"canonical_name": "<string>",
"entity_type": "<string>",
"confidence": 123,
"entity_id": "<string>",
"entity_subtype": "<string>"
}
],
"trend": {
"momentum": 1
},
"citation_rate": [
{
"day": "<string>",
"count": 123
}
],
"narrative": {
"narrative_id": "<string>",
"display_name": "<string>",
"member_count": 123,
"arc_summary": [
"<string>"
]
},
"event_start_at": "2023-11-07T05:31:56Z",
"event_end_at": "2023-11-07T05:31:56Z"
}
],
"search_match": {
"matched_topic_count": 123,
"matched_topic_ids": [
"<string>"
],
"match_sources": [
"<string>"
]
}
}
]
}{
"detail": [
{
"loc": [
"<string>"
],
"msg": "<string>",
"type": "<string>"
}
]
}Authorizations
Body
Request for searching breakout topics.
Search query text
1Filter by vertical (e.g., 'sports')
Search mode: vector, keyword, hybrid
vector, keyword, hybrid Return raw topics or deduped derived story surfaces
topic, story Maximum number of results. Requesting more than 20 results requires a credits-based plan.
1 <= x <= 100Optional expansions to include in the response. Allowed values: citations, entities. Example: ["citations", "entities"]
citations, entities Deprecated: use include=["citations","entities"] instead.
Optional source-aware context for query rewriting. Useful for terse external prompts such as Kalshi markets.
Show child attributes
Show child attributes
Optional Kalshi event URL or ticker. When provided, the server resolves event metadata and uses it for query planning. Mutually exclusive with query_context.
500Restrict returned citations to these source categories (news, reddit, twitter). Omit for all sources. Only applies when surface_mode=topic.
Citation source categories usable as a citation filter.
A subset of the source_category values that appear on returned citations —
the categories worth filtering on. Other categories (web, tiktok, trends) can
still appear on citations but are not offered as filter values.
news, reddit, twitter Enable enhanced relevance scoring for search results. When true, results are scored and re-ranked by how well they match the query intent.
Response
Successful Response
Response for searching breakout topics.
Search mode used
Whether search returned raw topics or derived story surfaces
topic, story Matching topics when surface_mode=topic
Show child attributes
Show child attributes
Matching story surfaces when surface_mode=story
Show child attributes
Show child attributes
curl --request POST \
--url https://api.upriver.ai/v1/topics/breakout/search \
--header 'Content-Type: application/json' \
--header 'X-API-Key: <api-key>' \
--data '
{
"query": "<string>",
"vertical": "<string>",
"mode": "hybrid",
"surface_mode": "topic",
"limit": 20,
"include": [],
"include_citations": false,
"query_context": {
"source": "<string>",
"series_title": "<string>",
"market_subtitle": "<string>",
"competition": "<string>",
"competition_scope": "<string>",
"contract_tickers": [
"<string>"
],
"contract_titles": [
"<string>"
],
"contract_subtitles": [
"<string>"
]
},
"kalshi_event_url": "<string>",
"citation_sources": [],
"llm_relevance": true
}
'import requests
url = "https://api.upriver.ai/v1/topics/breakout/search"
payload = {
"query": "<string>",
"vertical": "<string>",
"mode": "hybrid",
"surface_mode": "topic",
"limit": 20,
"include": [],
"include_citations": False,
"query_context": {
"source": "<string>",
"series_title": "<string>",
"market_subtitle": "<string>",
"competition": "<string>",
"competition_scope": "<string>",
"contract_tickers": ["<string>"],
"contract_titles": ["<string>"],
"contract_subtitles": ["<string>"]
},
"kalshi_event_url": "<string>",
"citation_sources": [],
"llm_relevance": True
}
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>',
vertical: '<string>',
mode: 'hybrid',
surface_mode: 'topic',
limit: 20,
include: [],
include_citations: false,
query_context: {
source: '<string>',
series_title: '<string>',
market_subtitle: '<string>',
competition: '<string>',
competition_scope: '<string>',
contract_tickers: ['<string>'],
contract_titles: ['<string>'],
contract_subtitles: ['<string>']
},
kalshi_event_url: '<string>',
citation_sources: [],
llm_relevance: true
})
};
fetch('https://api.upriver.ai/v1/topics/breakout/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://api.upriver.ai/v1/topics/breakout/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>',
'vertical' => '<string>',
'mode' => 'hybrid',
'surface_mode' => 'topic',
'limit' => 20,
'include' => [
],
'include_citations' => false,
'query_context' => [
'source' => '<string>',
'series_title' => '<string>',
'market_subtitle' => '<string>',
'competition' => '<string>',
'competition_scope' => '<string>',
'contract_tickers' => [
'<string>'
],
'contract_titles' => [
'<string>'
],
'contract_subtitles' => [
'<string>'
]
],
'kalshi_event_url' => '<string>',
'citation_sources' => [
],
'llm_relevance' => true
]),
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://api.upriver.ai/v1/topics/breakout/search"
payload := strings.NewReader("{\n \"query\": \"<string>\",\n \"vertical\": \"<string>\",\n \"mode\": \"hybrid\",\n \"surface_mode\": \"topic\",\n \"limit\": 20,\n \"include\": [],\n \"include_citations\": false,\n \"query_context\": {\n \"source\": \"<string>\",\n \"series_title\": \"<string>\",\n \"market_subtitle\": \"<string>\",\n \"competition\": \"<string>\",\n \"competition_scope\": \"<string>\",\n \"contract_tickers\": [\n \"<string>\"\n ],\n \"contract_titles\": [\n \"<string>\"\n ],\n \"contract_subtitles\": [\n \"<string>\"\n ]\n },\n \"kalshi_event_url\": \"<string>\",\n \"citation_sources\": [],\n \"llm_relevance\": true\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://api.upriver.ai/v1/topics/breakout/search")
.header("X-API-Key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"query\": \"<string>\",\n \"vertical\": \"<string>\",\n \"mode\": \"hybrid\",\n \"surface_mode\": \"topic\",\n \"limit\": 20,\n \"include\": [],\n \"include_citations\": false,\n \"query_context\": {\n \"source\": \"<string>\",\n \"series_title\": \"<string>\",\n \"market_subtitle\": \"<string>\",\n \"competition\": \"<string>\",\n \"competition_scope\": \"<string>\",\n \"contract_tickers\": [\n \"<string>\"\n ],\n \"contract_titles\": [\n \"<string>\"\n ],\n \"contract_subtitles\": [\n \"<string>\"\n ]\n },\n \"kalshi_event_url\": \"<string>\",\n \"citation_sources\": [],\n \"llm_relevance\": true\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.upriver.ai/v1/topics/breakout/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 \"vertical\": \"<string>\",\n \"mode\": \"hybrid\",\n \"surface_mode\": \"topic\",\n \"limit\": 20,\n \"include\": [],\n \"include_citations\": false,\n \"query_context\": {\n \"source\": \"<string>\",\n \"series_title\": \"<string>\",\n \"market_subtitle\": \"<string>\",\n \"competition\": \"<string>\",\n \"competition_scope\": \"<string>\",\n \"contract_tickers\": [\n \"<string>\"\n ],\n \"contract_titles\": [\n \"<string>\"\n ],\n \"contract_subtitles\": [\n \"<string>\"\n ]\n },\n \"kalshi_event_url\": \"<string>\",\n \"citation_sources\": [],\n \"llm_relevance\": true\n}"
response = http.request(request)
puts response.read_body{
"search_mode": "<string>",
"surface_mode": "topic",
"topics": [
{
"topic_id": "<string>",
"topic_name": "<string>",
"canonical_name": "<string>",
"vertical": "<string>",
"status": "<string>",
"peak_score": 123,
"discovered_at": "2023-11-07T05:31:56Z",
"updated_at": "2023-11-07T05:31:56Z",
"category": "<string>",
"score": 123,
"relevance_score": 123,
"engagement": {
"percentile_score": 123
},
"confidence_score": 123,
"last_signal_at": "2023-11-07T05:31:56Z",
"source_summary": {},
"citations": [
{
"source_category": "<string>",
"source_url": "<string>",
"title": "<string>",
"display": "",
"snippet": "<string>",
"source_authority": 123,
"engagement_score": 123,
"published_at": "2023-11-07T05:31:56Z"
}
],
"entities": [
{
"canonical_name": "<string>",
"entity_type": "<string>",
"confidence": 123,
"entity_id": "<string>",
"entity_subtype": "<string>"
}
],
"trend": {
"momentum": 1
},
"citation_rate": [
{
"day": "<string>",
"count": 123
}
],
"narrative": {
"narrative_id": "<string>",
"display_name": "<string>",
"member_count": 123,
"arc_summary": [
"<string>"
]
},
"event_start_at": "2023-11-07T05:31:56Z",
"event_end_at": "2023-11-07T05:31:56Z"
}
],
"stories": [
{
"seed_topic": {
"topic_id": "<string>",
"topic_name": "<string>",
"canonical_name": "<string>",
"vertical": "<string>",
"status": "<string>",
"peak_score": 123,
"discovered_at": "2023-11-07T05:31:56Z",
"updated_at": "2023-11-07T05:31:56Z",
"category": "<string>",
"score": 123,
"relevance_score": 123,
"engagement": {
"percentile_score": 123
},
"confidence_score": 123,
"last_signal_at": "2023-11-07T05:31:56Z",
"source_summary": {},
"citations": [
{
"source_category": "<string>",
"source_url": "<string>",
"title": "<string>",
"display": "",
"snippet": "<string>",
"source_authority": 123,
"engagement_score": 123,
"published_at": "2023-11-07T05:31:56Z"
}
],
"entities": [
{
"canonical_name": "<string>",
"entity_type": "<string>",
"confidence": 123,
"entity_id": "<string>",
"entity_subtype": "<string>"
}
],
"trend": {
"momentum": 1
},
"citation_rate": [
{
"day": "<string>",
"count": 123
}
],
"narrative": {
"narrative_id": "<string>",
"display_name": "<string>",
"member_count": 123,
"arc_summary": [
"<string>"
]
},
"event_start_at": "2023-11-07T05:31:56Z",
"event_end_at": "2023-11-07T05:31:56Z"
},
"surface": {
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