Get Domains Report

curl --request POST \
  --url https://api.peec.ai/customer/v1/reports/domains \
  --header 'Content-Type: application/json' \
  --header 'X-API-Key: <api-key>' \
  --data '
{
  "project_id": "or_f45b94ba-5e35-4982-93ed-285e72ee14eb",
  "limit": 1000,
  "offset": 0,
  "start_date": "2025-09-22",
  "end_date": "2025-09-22",
  "dimensions": [
    "tag_id",
    "model_id"
  ],
  "filters": [
    {
      "field": "model_id",
      "operator": "in",
      "values": [
        "gpt-4o-search"
      ]
    }
  ],
  "having": [
    {
      "field": "domain",
      "operator": "in",
      "values": [
        "example.com"
      ]
    }
  ],
  "order_by": [
    {
      "field": "citation_rate",
      "direction": "desc"
    }
  ]
}
'

import requests

url = "https://api.peec.ai/customer/v1/reports/domains"

payload = {
    "project_id": "or_f45b94ba-5e35-4982-93ed-285e72ee14eb",
    "limit": 1000,
    "offset": 0,
    "start_date": "2025-09-22",
    "end_date": "2025-09-22",
    "dimensions": ["tag_id", "model_id"],
    "filters": [
        {
            "field": "model_id",
            "operator": "in",
            "values": ["gpt-4o-search"]
        }
    ],
    "having": [
        {
            "field": "domain",
            "operator": "in",
            "values": ["example.com"]
        }
    ],
    "order_by": [
        {
            "field": "citation_rate",
            "direction": "desc"
        }
    ]
}
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({
    project_id: 'or_f45b94ba-5e35-4982-93ed-285e72ee14eb',
    limit: 1000,
    offset: 0,
    start_date: '2025-09-22',
    end_date: '2025-09-22',
    dimensions: ['tag_id', 'model_id'],
    filters: [{field: 'model_id', operator: 'in', values: ['gpt-4o-search']}],
    having: [{field: 'domain', operator: 'in', values: ['example.com']}],
    order_by: [{field: 'citation_rate', direction: 'desc'}]
  })
};

fetch('https://api.peec.ai/customer/v1/reports/domains', 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.peec.ai/customer/v1/reports/domains",
  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([
    'project_id' => 'or_f45b94ba-5e35-4982-93ed-285e72ee14eb',
    'limit' => 1000,
    'offset' => 0,
    'start_date' => '2025-09-22',
    'end_date' => '2025-09-22',
    'dimensions' => [
        'tag_id',
        'model_id'
    ],
    'filters' => [
        [
                'field' => 'model_id',
                'operator' => 'in',
                'values' => [
                                'gpt-4o-search'
                ]
        ]
    ],
    'having' => [
        [
                'field' => 'domain',
                'operator' => 'in',
                'values' => [
                                'example.com'
                ]
        ]
    ],
    'order_by' => [
        [
                'field' => 'citation_rate',
                'direction' => 'desc'
        ]
    ]
  ]),
  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.peec.ai/customer/v1/reports/domains"

	payload := strings.NewReader("{\n  \"project_id\": \"or_f45b94ba-5e35-4982-93ed-285e72ee14eb\",\n  \"limit\": 1000,\n  \"offset\": 0,\n  \"start_date\": \"2025-09-22\",\n  \"end_date\": \"2025-09-22\",\n  \"dimensions\": [\n    \"tag_id\",\n    \"model_id\"\n  ],\n  \"filters\": [\n    {\n      \"field\": \"model_id\",\n      \"operator\": \"in\",\n      \"values\": [\n        \"gpt-4o-search\"\n      ]\n    }\n  ],\n  \"having\": [\n    {\n      \"field\": \"domain\",\n      \"operator\": \"in\",\n      \"values\": [\n        \"example.com\"\n      ]\n    }\n  ],\n  \"order_by\": [\n    {\n      \"field\": \"citation_rate\",\n      \"direction\": \"desc\"\n    }\n  ]\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.peec.ai/customer/v1/reports/domains")
  .header("X-API-Key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"project_id\": \"or_f45b94ba-5e35-4982-93ed-285e72ee14eb\",\n  \"limit\": 1000,\n  \"offset\": 0,\n  \"start_date\": \"2025-09-22\",\n  \"end_date\": \"2025-09-22\",\n  \"dimensions\": [\n    \"tag_id\",\n    \"model_id\"\n  ],\n  \"filters\": [\n    {\n      \"field\": \"model_id\",\n      \"operator\": \"in\",\n      \"values\": [\n        \"gpt-4o-search\"\n      ]\n    }\n  ],\n  \"having\": [\n    {\n      \"field\": \"domain\",\n      \"operator\": \"in\",\n      \"values\": [\n        \"example.com\"\n      ]\n    }\n  ],\n  \"order_by\": [\n    {\n      \"field\": \"citation_rate\",\n      \"direction\": \"desc\"\n    }\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.peec.ai/customer/v1/reports/domains")

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  \"project_id\": \"or_f45b94ba-5e35-4982-93ed-285e72ee14eb\",\n  \"limit\": 1000,\n  \"offset\": 0,\n  \"start_date\": \"2025-09-22\",\n  \"end_date\": \"2025-09-22\",\n  \"dimensions\": [\n    \"tag_id\",\n    \"model_id\"\n  ],\n  \"filters\": [\n    {\n      \"field\": \"model_id\",\n      \"operator\": \"in\",\n      \"values\": [\n        \"gpt-4o-search\"\n      ]\n    }\n  ],\n  \"having\": [\n    {\n      \"field\": \"domain\",\n      \"operator\": \"in\",\n      \"values\": [\n        \"example.com\"\n      ]\n    }\n  ],\n  \"order_by\": [\n    {\n      \"field\": \"citation_rate\",\n      \"direction\": \"desc\"\n    }\n  ]\n}"

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

{
  "data": [
    {
      "domain": "example.com",
      "classification": "UGC",
      "usage_rate": 0.8,
      "citation_avg": 2.5,
      "retrieved_percentage": 0.6,
      "retrieval_rate": 1.2,
      "citation_rate": 1.5,
      "retrieval_count": 24,
      "citation_count": 12,
      "retrieved_chat_count": 18,
      "total_chat_count": 30,
      "mentioned_brands": [
        {
          "id": "<string>"
        }
      ],
      "prompt": {
        "id": "pr_93f790de-5b7a-45ee-b782-61103c81f20d"
      },
      "model": {
        "id": "gpt-4o-search"
      },
      "model_channel": {
        "id": "openai-1"
      },
      "tag": {
        "id": "tg_23abec5b-100a-4261-9ee7-1effe68f0149"
      },
      "topic": {
        "id": "to_e6b8cdd3-a51b-4d94-a866-28dbe6b830a6"
      },
      "country_code": "US",
      "chat": {
        "id": "ch_abc123"
      },
      "date": "<string>",
      "week": "2025-03-10",
      "month": "2025-03-01"
    }
  ]
}

Reports

Get Domains Report

Get a report on Source Domains.

Aggregation Formulas

When aggregating results across multiple rows/dimensions, use the following formulas:

citation_rate: sum(citation_count) / sum(retrieval_count)
retrieval_rate: sum(retrieval_count) / sum(total_chat_count)
retrieval_percentage: sum(retrieved_chat_count) / sum(total_chat_count)

`filters` vs `having`

filters are pre-aggregation row filters (applied as WHERE before GROUP BY) on the source-row table. Allowed fields: model_id (deprecated), model_channel_id, country_code, prompt_id, tag_id, topic_id, chat_id, domain, domain_classification, url, url_classification, mentioned_brand_id, mentioned_brand_count, gap.

Population (model_id, model_channel_id, country_code, prompt_id, tag_id, topic_id, chat_id) shrink both numerator and denominator (total_chat_count).
Source-side (domain, domain_classification, url, url_classification) and per-row mentioned-brand predicates (mentioned_brand_id, mentioned_brand_count, gap) shrink the source-row scope feeding aggregation. total_chat_count is computed from a chat-level table that doesn’t carry these columns, so the denominator narrows only on chat-level fields.

having are post-aggregation row filters (applied as HAVING after GROUP BY). Allowed fields: model_id (deprecated), model_channel_id, country_code, prompt_id, tag_id, topic_id, chat_id, domain, domain_classification, mentioned_brand_id, mentioned_brand_count, gap. They select which aggregated rows are returned and do not affect denominators.

POST

reports

domains

Get Domains Report

curl --request POST \
  --url https://api.peec.ai/customer/v1/reports/domains \
  --header 'Content-Type: application/json' \
  --header 'X-API-Key: <api-key>' \
  --data '
{
  "project_id": "or_f45b94ba-5e35-4982-93ed-285e72ee14eb",
  "limit": 1000,
  "offset": 0,
  "start_date": "2025-09-22",
  "end_date": "2025-09-22",
  "dimensions": [
    "tag_id",
    "model_id"
  ],
  "filters": [
    {
      "field": "model_id",
      "operator": "in",
      "values": [
        "gpt-4o-search"
      ]
    }
  ],
  "having": [
    {
      "field": "domain",
      "operator": "in",
      "values": [
        "example.com"
      ]
    }
  ],
  "order_by": [
    {
      "field": "citation_rate",
      "direction": "desc"
    }
  ]
}
'

import requests

url = "https://api.peec.ai/customer/v1/reports/domains"

payload = {
    "project_id": "or_f45b94ba-5e35-4982-93ed-285e72ee14eb",
    "limit": 1000,
    "offset": 0,
    "start_date": "2025-09-22",
    "end_date": "2025-09-22",
    "dimensions": ["tag_id", "model_id"],
    "filters": [
        {
            "field": "model_id",
            "operator": "in",
            "values": ["gpt-4o-search"]
        }
    ],
    "having": [
        {
            "field": "domain",
            "operator": "in",
            "values": ["example.com"]
        }
    ],
    "order_by": [
        {
            "field": "citation_rate",
            "direction": "desc"
        }
    ]
}
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({
    project_id: 'or_f45b94ba-5e35-4982-93ed-285e72ee14eb',
    limit: 1000,
    offset: 0,
    start_date: '2025-09-22',
    end_date: '2025-09-22',
    dimensions: ['tag_id', 'model_id'],
    filters: [{field: 'model_id', operator: 'in', values: ['gpt-4o-search']}],
    having: [{field: 'domain', operator: 'in', values: ['example.com']}],
    order_by: [{field: 'citation_rate', direction: 'desc'}]
  })
};

fetch('https://api.peec.ai/customer/v1/reports/domains', 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.peec.ai/customer/v1/reports/domains",
  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([
    'project_id' => 'or_f45b94ba-5e35-4982-93ed-285e72ee14eb',
    'limit' => 1000,
    'offset' => 0,
    'start_date' => '2025-09-22',
    'end_date' => '2025-09-22',
    'dimensions' => [
        'tag_id',
        'model_id'
    ],
    'filters' => [
        [
                'field' => 'model_id',
                'operator' => 'in',
                'values' => [
                                'gpt-4o-search'
                ]
        ]
    ],
    'having' => [
        [
                'field' => 'domain',
                'operator' => 'in',
                'values' => [
                                'example.com'
                ]
        ]
    ],
    'order_by' => [
        [
                'field' => 'citation_rate',
                'direction' => 'desc'
        ]
    ]
  ]),
  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.peec.ai/customer/v1/reports/domains"

	payload := strings.NewReader("{\n  \"project_id\": \"or_f45b94ba-5e35-4982-93ed-285e72ee14eb\",\n  \"limit\": 1000,\n  \"offset\": 0,\n  \"start_date\": \"2025-09-22\",\n  \"end_date\": \"2025-09-22\",\n  \"dimensions\": [\n    \"tag_id\",\n    \"model_id\"\n  ],\n  \"filters\": [\n    {\n      \"field\": \"model_id\",\n      \"operator\": \"in\",\n      \"values\": [\n        \"gpt-4o-search\"\n      ]\n    }\n  ],\n  \"having\": [\n    {\n      \"field\": \"domain\",\n      \"operator\": \"in\",\n      \"values\": [\n        \"example.com\"\n      ]\n    }\n  ],\n  \"order_by\": [\n    {\n      \"field\": \"citation_rate\",\n      \"direction\": \"desc\"\n    }\n  ]\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.peec.ai/customer/v1/reports/domains")
  .header("X-API-Key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"project_id\": \"or_f45b94ba-5e35-4982-93ed-285e72ee14eb\",\n  \"limit\": 1000,\n  \"offset\": 0,\n  \"start_date\": \"2025-09-22\",\n  \"end_date\": \"2025-09-22\",\n  \"dimensions\": [\n    \"tag_id\",\n    \"model_id\"\n  ],\n  \"filters\": [\n    {\n      \"field\": \"model_id\",\n      \"operator\": \"in\",\n      \"values\": [\n        \"gpt-4o-search\"\n      ]\n    }\n  ],\n  \"having\": [\n    {\n      \"field\": \"domain\",\n      \"operator\": \"in\",\n      \"values\": [\n        \"example.com\"\n      ]\n    }\n  ],\n  \"order_by\": [\n    {\n      \"field\": \"citation_rate\",\n      \"direction\": \"desc\"\n    }\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.peec.ai/customer/v1/reports/domains")

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  \"project_id\": \"or_f45b94ba-5e35-4982-93ed-285e72ee14eb\",\n  \"limit\": 1000,\n  \"offset\": 0,\n  \"start_date\": \"2025-09-22\",\n  \"end_date\": \"2025-09-22\",\n  \"dimensions\": [\n    \"tag_id\",\n    \"model_id\"\n  ],\n  \"filters\": [\n    {\n      \"field\": \"model_id\",\n      \"operator\": \"in\",\n      \"values\": [\n        \"gpt-4o-search\"\n      ]\n    }\n  ],\n  \"having\": [\n    {\n      \"field\": \"domain\",\n      \"operator\": \"in\",\n      \"values\": [\n        \"example.com\"\n      ]\n    }\n  ],\n  \"order_by\": [\n    {\n      \"field\": \"citation_rate\",\n      \"direction\": \"desc\"\n    }\n  ]\n}"

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

{
  "data": [
    {
      "domain": "example.com",
      "classification": "UGC",
      "usage_rate": 0.8,
      "citation_avg": 2.5,
      "retrieved_percentage": 0.6,
      "retrieval_rate": 1.2,
      "citation_rate": 1.5,
      "retrieval_count": 24,
      "citation_count": 12,
      "retrieved_chat_count": 18,
      "total_chat_count": 30,
      "mentioned_brands": [
        {
          "id": "<string>"
        }
      ],
      "prompt": {
        "id": "pr_93f790de-5b7a-45ee-b782-61103c81f20d"
      },
      "model": {
        "id": "gpt-4o-search"
      },
      "model_channel": {
        "id": "openai-1"
      },
      "tag": {
        "id": "tg_23abec5b-100a-4261-9ee7-1effe68f0149"
      },
      "topic": {
        "id": "to_e6b8cdd3-a51b-4d94-a866-28dbe6b830a6"
      },
      "country_code": "US",
      "chat": {
        "id": "ch_abc123"
      },
      "date": "<string>",
      "week": "2025-03-10",
      "month": "2025-03-01"
    }
  ]
}

Authorizations

X-API-Key

string

header

required

Query Parameters

project_id

string

Required if using a company api key

Example:

"or_f45b94ba-5e35-4982-93ed-285e72ee14eb"

Body

project_id

string

Required if using a company api key

Example:

"or_f45b94ba-5e35-4982-93ed-285e72ee14eb"

limit

number

default:1000

Required range: 1 <= x <= 10000

offset

number

default:0

Required range: x >= 0

start_date

string<date>

default:2026-01-01

full-date notation as defined by RFC 3339, section 5.6, for example, 2017-07-21

Pattern:

^(?:(?:\d\d[2468][048]|\d\d[13579][26]|\d\d0[48]|[02468][048]00|[13579][26]00)-02-29|\d{4}-(?:(?:0[13578]|1[02])-(?:0[1-9]|[12]\d|3[01])|(?:0[469]|11)-(?:0[1-9]|[12]\d|30)|(?:02)-(?:0[1-9]|1\d|2[0-8])))$

Example:

"2025-09-22"

end_date

string<date>

default:2026-01-01

full-date notation as defined by RFC 3339, section 5.6, for example, 2017-07-21

Pattern:

^(?:(?:\d\d[2468][048]|\d\d[13579][26]|\d\d0[48]|[02468][048]00|[13579][26]00)-02-29|\d{4}-(?:(?:0[13578]|1[02])-(?:0[1-9]|[12]\d|3[01])|(?:0[469]|11)-(?:0[1-9]|[12]\d|30)|(?:02)-(?:0[1-9]|1\d|2[0-8])))$

Example:

"2025-09-22"

dimensions

enum<string>[]

Dimensions to break down the report by.

Available options:

prompt_id,

model_id,

model_channel_id,

tag_id,

topic_id,

date,

week,

month,

country_code,

chat_id

Example:

["tag_id", "model_id"]

filters

object[]

Pre-aggregation row filters (applied as WHERE before grouping). Allowed fields: model_id (deprecated), model_channel_id, country_code, prompt_id, tag_id, topic_id, chat_id, domain, domain_classification, url, url_classification, mentioned_brand_id, mentioned_brand_count, gap. Population fields (model/country/prompt/tag/topic/chat) shrink both numerator and denominator. Source-side fields and per-row mentioned-brand predicates shrink the source-row scope feeding aggregation; total_chat_count comes from a chat-level table that doesn't carry these columns, so they narrow the numerator only. Multiple filters are AND'd.

Deprecated: use model_channel_id filter instead

Show child attributes

Example:

[
  {
    "field": "model_id",
    "operator": "in",
    "values": ["gpt-4o-search"]
  }
]

having

object[]

Post-aggregation row filters (applied as HAVING after grouping). Select which aggregated domain rows are returned. Allowed fields: model_id (deprecated), model_channel_id, country_code, prompt_id, tag_id, topic_id, chat_id, domain, domain_classification, mentioned_brand_id, mentioned_brand_count, gap — population fields require the matching value in dimensions. Multiple filters are AND'd.

Deprecated: use model_channel_id filter instead

Show child attributes

Example:

[
  {
    "field": "domain",
    "operator": "in",
    "values": ["example.com"]
  }
]

order_by

object[]

Sort results by one or more fields. Multiple entries create a multi-key sort. Direction defaults to desc. When omitted, a default ordering is applied.

Show child attributes

Example:

[
  {
    "field": "citation_rate",
    "direction": "desc"
  }
]

Response

200 - application/json

Success

data

object[]

required

Show child attributes

⌘I

Overview

Endpoints

Get Domains Report

Aggregation Formulas

`filters` vs `having`

Authorizations

Query Parameters

Body

Response