Search Tokens Enterprise
Search for tokens using a Lucene-based query syntax.
Search v2
Permissions
token:search
Request
- cURL
- Node
- JavaScript (legacy)
- C#
- Java
- Python
- Go
curl "https://api.basistheory.com/v2/tokens/search" \
-H "BT-API-KEY: <PRIVATE_API_KEY>" \
-H "Content-Type: application/json" \
-X "POST" \
-d '{
"query": "data:6789",
"size": 20
}'
const response = await client.tokens.searchV2();
for await (const item of response) {
console.log(item);
}
// Or you can manually iterate page-by-page
const page = await client.tokens.searchV2();
while (page.hasNextPage()) {
page = page.getNextPage();
}
import {BasisTheory} from "@basis-theory/basis-theory-js";
const bt = await new BasisTheory().init("<PRIVATE_API_KEY>");
const tokens = await bt.tokensV2.search({
query: "data:6789",
size: 20,
});
await client.Tokens.SearchV2Async(new SearchTokensRequestV2());
response = client.tokens.search_v2()
for item in response:
yield item
# alternatively, you can paginate page-by-page
for page in response.iter_pages():
yield page
Request Parameters
Attribute | Required | Type | Default | Description |
---|---|---|---|---|
query | false | string | null | A query string using Lucene query syntax. Only a single search term is supported. |
start | false | string | null | Cursor provided in the previous query to get the next set of results. |
size | false | integer | 20 | Number of results per page to return. Maximum size of 100 results. |
Response
Returns a cursor paginated object with the data
property containing an array of tokens sorted by container
and created_at
, descending.
Token data will be returned according to the transform
applied to the requesting Application's Access Controls.
Returns an error if tokens could not be retrieved or when an invalid query is submitted.
{
"pagination": {
"page_size": 20,
"next": "AgAAAA=="
},
"data": [
{
"id": "c06d0789-0a38-40be-b7cc-c28a718f76f1",
"type": "social_security_number",
"tenant_id": "77cb0024-123e-41a8-8ff8-a3d5a0fa8a08",
"data": "XXX-XX-6789",
"fingerprint": "AKCUXS83DokKo4pDRKSAy4d42t9i8dcP1X2jijwEBCQH",
"containers": ["/pii/high/"],
"metadata": {
"nonSensitiveField": "Non-Sensitive Value"
},
"search_indexes": [
"{{ data }}",
"{{ data | replace: '-' }}",
"{{ data | last4 }}"
],
"fingerprint_expression": "{{ data }}",
"created_by": "fb124bba-f90d-45f0-9a59-5edca27b3b4a",
"created_at": "2021-03-01T08:23:14+00:00"
},
{...},
{...}
]
}
Supported Queries (v2)
Supported Fields
Fields | Type | Description | Example |
---|---|---|---|
container | string | Filters the results to only include tokens within the given container, or its child containers. | container:\"/pci/\" |
type | string | Filters the results to only include tokens of the given type. | type:card |
fingerprint | string | Filters the results to only include tokens with the given fingerprint. | fingerprint:BzQfn8W5PTjHMZgmJfbTjN |
metadata.[key] | string | Filters the results to only include tokens with the given metadata key and value. | metadata.user_id:34445 |
data | string | Filters the results to only include tokens that have been indexed with the given data value. See Searching Data for details. | data:6789 |
Behavior
- Each supported field can appear at most once within a query.
- The
container
field can be combined with other supported fields with anAND
operator.- This can be used to limit the scope of the search to a single container and its child containers.
- If
container
is specified, the application must havetoken:search
permission to the given container. - If
container
is not specified, the response will include tokens from all containers the application hastoken:search
permission to.
- Except for
container
, theAND
operator cannot be used to combine terms for multiple fields in the same query. - Metadata will be searched for a case-sensitive, exact match on both key and value.
Search v1 DEPRECATED
Permissions
token:search
Request
- cURL
- Node
- JavaScript (legacy)
- C#
- Java
- Python
- Go
curl "https://api.basistheory.com/tokens/search" \
-H "BT-API-KEY: <PRIVATE_API_KEY>" \
-H "Content-Type: application/json" \
-X "POST" \
-d '{
"query": "data:6789",
"page": 1,
"size": 20
}'
const response = await client.tokens.search();
for await (const item of response) {
console.log(item);
}
// Or you can manually iterate page-by-page
const page = await client.tokens.search();
while (page.hasNextPage()) {
page = page.getNextPage();
}
import { BasisTheory } from "@basis-theory/basis-theory-js";
const bt = await new BasisTheory().init("<PRIVATE_API_KEY>");
const tokens = await bt.tokens.search({
query: "data:6789",
page: 1,
size: 20,
});
await client.Tokens.SearchAsync(new SearchTokensRequest());
response = client.tokens.search()
for item in response:
yield item
# alternatively, you can paginate page-by-page
for page in response.iter_pages():
yield page
Request Parameters
Attribute | Required | Type | Default | Description |
---|---|---|---|---|
query | false | string | null | A query string using Lucene query syntax. Only a single search term is supported. |
page | false | integer | 1 | Page number of the results to return. |
size | false | integer | 20 | Number of results per page to return. Maximum size of 100 results. |
Response
Returns a paginated object with the data
property containing an array of tokens sorted by created_at
, descending.
Token data will be returned according to the transform
applied to the requesting Application's Access Controls.
Returns an error if tokens could not be retrieved or when an invalid query is submitted.
{
"pagination": {...},
"data": [
{
"id": "c06d0789-0a38-40be-b7cc-c28a718f76f1",
"type": "social_security_number",
"tenant_id": "77cb0024-123e-41a8-8ff8-a3d5a0fa8a08",
"data": "XXX-XX-6789",
"fingerprint": "AKCUXS83DokKo4pDRKSAy4d42t9i8dcP1X2jijwEBCQH",
"containers": ["/pii/high/"],
"metadata": {
"nonSensitiveField": "Non-Sensitive Value"
},
"search_indexes": [
"{{ data }}",
"{{ data | replace: '-' }}",
"{{ data | last4 }}"
],
"fingerprint_expression": "{{ data }}",
"created_by": "fb124bba-f90d-45f0-9a59-5edca27b3b4a",
"created_at": "2021-03-01T08:23:14+00:00"
},
{...},
{...}
]
}
Supported Queries (v1)
Supported Fields
Fields | Type | Description | Example |
---|---|---|---|
id | string | Token ID. | id:fe24d4cc-de50-4d8c-8da7-8c7483ba21bf |
data | string | Token data. See Searching Data for supported values. | data:6789 |
metadata.[key] | string | Search against token metadata having the given [key] . | metadata.user_id:34445 |
Behavior
- Combining terms for multiple token fields in the same query is not supported.
- Multiple metadata fields may be combined within the same query with an
AND
operator. - Metadata will be searched for a case-insensitive, exact match on both key and value.
Query Syntax
Token search supports a Lucene-based query syntax.
A query string is comprised of one or more Terms that can be combined with AND
Operators.
Search terms are formed by combining a field name and a value to search with a :
- field:value
.
Token data may be searched on search indexed tokens by performing a case-sensitive exact match to one of several indexed data patterns.
For example, the following query will search for indexed tokens containing the data 123-45-6789
:
data:123-45-6789
Phrases or values containing spaces may be searched by wrapping the searched value in quotes, for example:
data:"data containing multiple words"
For more detailed information about supported data searches, see Searching Data.
Metadata search terms require both a key and value to be specified in the form of metadata.[key]:value
.
For example, to search for tokens having the metadata { customer_id: "cus_12345" }
, query for:
metadata.customer_id:cus_12345
Searching Data
Basis Theory supports search across sensitive token data by securely creating and storing search indexes at the time of token creation.
To index a token for data search, one or more search_indexes
can be specified in the Create Token Request or Tokenize Request.
Some token types will receive a default set of search indexes if custom search_indexes
are not specified on the request.
The search_indexes
property supports the use of expressions, which are based on the Liquid templating language. Each expression must result in a single value, which cannot be null or empty, otherwise a 400 error will be returned.
Any expressions contained within search_indexes
will be evaluated against the token data before generating indexes. Token data searches will only return a token if there is an exact match on one of the evaluated search_indexes
.
For example, if a card
token has the number 4242424242424242
and it is created with the search index expressions:
{{ data.number }}
{{ data.number | last4 }}
Then you may search for this token by querying on either the full card number:
data:4242424242424242
or by querying on the last 4 digits:
data:4242