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POST
/
v2
/
memory
/
search
Search Judgments
curl --request POST \
  --url https://api.velt.dev/v2/memory/search \
  --header 'Content-Type: application/json' \
  --header 'x-velt-api-key: <x-velt-api-key>' \
  --header 'x-velt-auth-token: <x-velt-auth-token>' \
  --data '
{
  "data": {
    "query": "<string>",
    "embeddingType": "<string>",
    "scope": "<string>",
    "organizationId": "<string>",
    "documentId": "<string>",
    "limit": 123,
    "filters": {},
    "recencyDays": 123
  }
}
'
import requests

url = "https://api.velt.dev/v2/memory/search"

payload = { "data": {
"query": "<string>",
"embeddingType": "<string>",
"scope": "<string>",
"organizationId": "<string>",
"documentId": "<string>",
"limit": 123,
"filters": {},
"recencyDays": 123
} }
headers = {
"x-velt-api-key": "<x-velt-api-key>",
"x-velt-auth-token": "<x-velt-auth-token>",
"Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)
const options = {
method: 'POST',
headers: {
'x-velt-api-key': '<x-velt-api-key>',
'x-velt-auth-token': '<x-velt-auth-token>',
'Content-Type': 'application/json'
},
body: JSON.stringify({
data: {
query: '<string>',
embeddingType: '<string>',
scope: '<string>',
organizationId: '<string>',
documentId: '<string>',
limit: 123,
filters: {},
recencyDays: 123
}
})
};

fetch('https://api.velt.dev/v2/memory/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.velt.dev/v2/memory/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([
'data' => [
'query' => '<string>',
'embeddingType' => '<string>',
'scope' => '<string>',
'organizationId' => '<string>',
'documentId' => '<string>',
'limit' => 123,
'filters' => [

],
'recencyDays' => 123
]
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"x-velt-api-key: <x-velt-api-key>",
"x-velt-auth-token: <x-velt-auth-token>"
],
]);

$response = curl_exec($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.velt.dev/v2/memory/search"

payload := strings.NewReader("{\n \"data\": {\n \"query\": \"<string>\",\n \"embeddingType\": \"<string>\",\n \"scope\": \"<string>\",\n \"organizationId\": \"<string>\",\n \"documentId\": \"<string>\",\n \"limit\": 123,\n \"filters\": {},\n \"recencyDays\": 123\n }\n}")

req, _ := http.NewRequest("POST", url, payload)

req.Header.Add("x-velt-api-key", "<x-velt-api-key>")
req.Header.Add("x-velt-auth-token", "<x-velt-auth-token>")
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.velt.dev/v2/memory/search")
.header("x-velt-api-key", "<x-velt-api-key>")
.header("x-velt-auth-token", "<x-velt-auth-token>")
.header("Content-Type", "application/json")
.body("{\n \"data\": {\n \"query\": \"<string>\",\n \"embeddingType\": \"<string>\",\n \"scope\": \"<string>\",\n \"organizationId\": \"<string>\",\n \"documentId\": \"<string>\",\n \"limit\": 123,\n \"filters\": {},\n \"recencyDays\": 123\n }\n}")
.asString();
require 'uri'
require 'net/http'

url = URI("https://api.velt.dev/v2/memory/search")

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

request = Net::HTTP::Post.new(url)
request["x-velt-api-key"] = '<x-velt-api-key>'
request["x-velt-auth-token"] = '<x-velt-auth-token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"data\": {\n \"query\": \"<string>\",\n \"embeddingType\": \"<string>\",\n \"scope\": \"<string>\",\n \"organizationId\": \"<string>\",\n \"documentId\": \"<string>\",\n \"limit\": 123,\n \"filters\": {},\n \"recencyDays\": 123\n }\n}"

response = http.request(request)
puts response.read_body
{
  "result": {
    "results": [
      {
        "recordId": "act_8f3...",
        "reasoning": "Claim 'clinically proven' lacks a citation.",
        "decision": "reject",
        "confidence": 0.92,
        "actionUser": { "name": "Sarah Lee" },
        "createdAt": 1731432000000,
        "similarity": 0.87,
        "scope": "organization",
        "agent": null
      }
    ],
    "totalInScope": 128,
    "searchLatencyMs": 142
  }
}
Use this API to run a semantic vector search over past judgments: the enriched records of your team’s review decisions. Optional filters and retrieval-mode overrides let you narrow by decision, reviewer, content type, recency, or a single comment thread. This is distinct from Search Knowledge Base, which searches the content of your ingested files.

Endpoint

POST https://api.velt.dev/v2/memory/search

Headers

x-velt-api-key
string
required
Your API key.
x-velt-auth-token
string
required

Body

Params

data
object
required

Example Requests

Search rejected decisions

{
  "data": {
    "query": "marketing copy with unsupported medical claims",
    "limit": 5,
    "filters": { "decision": "reject" }
  }
}

Read one comment thread chronologically

{
  "data": {
    "query": "thread summary",
    "organizationId": "org_eu",
    "filters": { "annotationId": "annotation_123" }
  }
}

Last week’s activity (recency-true mode)

{
  "data": {
    "query": "recent activity",
    "recencyDays": 7
  }
}

Response

Each result includes the reasoning, decision, confidence, who decided (actionUser), and a similarity score (1.0 for the annotation and recency shortcut paths). totalInScope reports how many judgments were in scope; searchLatencyMs reports the search time. An agent block is present when the decision came from an AI agent.

Success Response

{
  "result": {
    "results": [
      {
        "recordId": "act_8f3...",
        "reasoning": "Claim 'clinically proven' lacks a citation.",
        "decision": "reject",
        "confidence": 0.92,
        "actionUser": { "name": "Sarah Lee" },
        "createdAt": 1731432000000,
        "similarity": 0.87,
        "scope": "organization",
        "agent": null
      }
    ],
    "totalInScope": 128,
    "searchLatencyMs": 142
  }
}

Failure Response

{
  "error": {
    "message": "ERROR_MESSAGE",
    "status": "INVALID_ARGUMENT"
  }
}
{
  "result": {
    "results": [
      {
        "recordId": "act_8f3...",
        "reasoning": "Claim 'clinically proven' lacks a citation.",
        "decision": "reject",
        "confidence": 0.92,
        "actionUser": { "name": "Sarah Lee" },
        "createdAt": 1731432000000,
        "similarity": 0.87,
        "scope": "organization",
        "agent": null
      }
    ],
    "totalInScope": 128,
    "searchLatencyMs": 142
  }
}