Search Judgments

Run a semantic vector search over past review judgments in Velt Memory v2, with optional filters by decision, reviewer, content type, or recency.

POST /v2/memory/search

Search Judgments

cURL

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

Your Auth Token.

Body

Params

data · object · required

Show properties

query · string · required

Non-empty search text. Ignored when filters.annotationId or recencyDays is set; those shortcut paths skip vector search.

embeddingType · string

review (default) searches the decision + reasoning. content searches the reviewed content itself.

scope · string

document, organization, or apiKey. Defaults from organizationId/documentId presence.

organizationId · string

Narrow to one organization.

documentId · string

Narrow to one document. Requires organizationId.

limit · integer

1 to 50. Defaults to 10.

filters · object

{ decision?, judgeType?, contentType?, reviewerId?, annotationId?, dateRange? }. decision filters by decision value, e.g. approve or reject. judgeType is human or agent. dateRange is { start, end } (ISO-8601 strings or epoch ms; start must not be after end). annotationId requires organizationId and reads that one comment thread directly, oldest first.

recencyDays · integer

1 to 365. Recency-true mode: skips vector search and returns the most-recent activity in the window. Overrides filters.dateRange.

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
  }
}