Real-time Mexican Data All APIqueryTagAndInfo
/prism/external/queryTagAndInfo-20%$0.1 USDT/call$0.08 USDT/callFree billing instructions: No billing will be charged in case of abnormalities
Billing instructions for empty value: The interface is limited to 10 free empty value times per day
Empty value definition: The server query result is empty and no data was found
query citizen tag and basic info by CURP/email/phone
These examples use complete synthetic data. Use your own authorized input in Online Test to see the actual API response.
Start using this endpoint
- Create an account, or use your existing one.
- Copy your API token from Account → Security.
- Enter your token and your own authorized input in Online Test. Masked examples are format hints and must be replaced.
Online tests are subject to your account’s test quota and the gateway rules. For production calls, check the endpoint price and your available balance before sending. Open balance and recharge
Header Parameters
| Name | Type | Required | Description |
|---|---|---|---|
X-Api-Token | string | Required | Your platform API token |
Parameters
| Name | In | Type | Required | Example | Description |
|---|---|---|---|---|---|
hello-agent | query | string | Required | - | agent |
Request Body Example
{
"secretKey": "fb4db743004087af5f63eb98568d284f415df64c9e9ac504770c20dc0845bca1",
"userName": "SAMPLE USER",
"eventCode": "query_tag_info",
"keyword": "TEST900101HDFABC01"
}Response 200JSON
{
"code": 0,
"msg": "OK",
"data": {
"userInfo": {
"TEST900101HDFABC01": {
"ext": {
"risk_accept_score": "45.416",
"job_stable_level": "28",
"credit_level": "1",
"risk_score_3_0": "57.049",
"risk_score_3_1": "39.386",
"repay_level": "3",
"risk_score_1": "65.353",
"salary_level": "27.847",
"apply_loan_level": "7",
"risk_score_2": "21.972",
"status_level": "3"
}
}
},
"tag": {
"TEST900101HDFABC01": [
{
"code": "is_whatsapp"
},
{
"code": "is_advanced_contact"
},
{
"code": "is_night_applicant_old"
},
{
"code": "is_facebook"
},
{
"code": "is_weekend_applicant_new"
},
{
"code": "is_stable_job"
},
{
"code": "is_overdue_30d_order"
},
{
"code": "is_high_salary"
},
{
"code": "is_weekend_applicant_old"
},
{
"code": "is_rejected_applicant"
}
]
}
}
}Response Fields
| Name | Type | Meaning | Example | Description |
|---|---|---|---|---|
status_level | string | Identity risk level | 4 | Built from education background, social security payment, child-related status, and related signals. Higher values indicate higher risk. |
salary_level | string | Salary level | 11 | Built from daily wage in social security records, salary in cash-loan records, and related signals. Higher values indicate lower risk. |
job_stable_level | string | Job stability level | 27 | Built from working days, number of employers paying social security, residence type, and related signals. Higher values indicate lower risk. |
repay_level | string | Repayment capability level | 2 | Built from bank level, bank deposits, number of registered financial institutions, and related signals. Higher values indicate lower risk. |
credit_level | string | Credit level | 0.514 | Built from historical repayment rate, repayment amount, and repayment order count over the past 1 to 3 years. Higher values indicate lower risk. |
apply_loan_level | string | Loan application level | 3 | Built from registered cash-loan platform count, maximum application frequency, disbursement count, repeat borrowing count, and related signals over the past 1 to 3 years. Higher values indicate higher risk. |
risk_accept_score | string | Risk acceptance score | 20.399 | Built from registered cash-loan platform count, interest rates, repayment periods, application amounts, and related signals over the past 1 to 3 years. Higher values indicate a more subprime user segment and higher risk acceptance. |
risk_score_1 | string | User risk score V1 | 73.085 | Assesses post-loan behavior for single-period and short-term 7-day products. Higher values indicate higher risk. Model base: GBDT + LR. |
risk_score_2 | string | User risk score V2 | 27.314 | Assesses post-loan behavior for installment and medium-term 14 to 30 day products. Higher values indicate higher risk. Model base: GBDT + LR. |
risk_score_3_0 | string | User risk score V3, segment 0 | 58.917 | Assesses post-loan behavior for installment and medium-to-long-term products over 30 days. Higher values indicate higher risk. Model base: GBDT + LR. |
risk_score_3_1 | string | User risk score V3, segment 1 | 50.396 | Assesses post-loan behavior for installment and medium-to-long-term products over 30 days. Higher values indicate higher risk. Model base: GBDT + LR. |
Data source
The upstream holder for this endpoint has not been confirmed yet. Do not rely on it for compliance-sensitive decisions until it is.
Rate limits & free allowance
- Requests per second
- 10
- Free empty results per day
- 10
Calls that return no matching record are not charged, up to this many per day. Beyond it, an empty result is billed at the unit price.
Balance is consumed at the time of the call. When it does not cover the call, the gateway returns 402 and the call is not made.
Error codes
Status codes observed in production, with how to handle each. Codes not listed here have not occurred.
| Code | What it means and what to do |
|---|---|
200 | Request reached the upstream source and a response was returned. This includes “no record found”, so check the payload, not just the code. |
402 | Prepaid balance did not cover the call. The call was not made and nothing was charged. Top up and retry. |
504 | Upstream source did not answer in time. Retry later; this is the normal failure mode for slow registries. |
404 | Route does not exist, or the endpoint is no longer published. |
401 | Missing or invalid API token. |
Conditions of use
This endpoint returns personal data about an identifiable individual held by a national registry or institution. You must have a lawful basis for each identifier you query, must not enumerate identifier ranges, and must not use a result as the sole basis for a decision that adversely affects someone.