Endpoints, Method and Parameter
The endpoints indicate how you access the API, while the method indicates the allowed interactions (such as GET, POST, or DELETE) with the resource.
Bias Detection API
The Bias Detection API is defined as follows:
HTTP Request:
- URL: https://plugin.rchilli.com/RChilliPlugin/rchilli/biasDetection
- Accept: application/json
- Response Type: JSON
API Endpoint
The Bias Detection API endpoint returns the parsed data in the JSON format. See the below Bias Detection API endpoint:/biasDetection
API Method
The Bias Detection API uses only the POST method.Request Headers
| Header | Data Type | Description |
|---|---|---|
| Content-Type | string | Indicates the input type of the incoming request body. The
only supported value is
application/json. |
API Parameters
The Bias Detection API requires the following parameters in the JSON request
format:
| Name | Type | Description | Remarks |
|---|---|---|---|
| filedata | String | Resume binary data in base64 | Required |
| filename | String | Resume with name extension (e.g. resumeSample.docx). Supported extensions are doc/docx/dot/rtf/pdf/otd/dotx/docm/txt/htm/html | Required |
| jsondata | String | Resume parsed json in base64 format | Required only if filedata/filename is missing |
| userkey | String | Valid User Key as provided by RChilli, see How to get user key. | Required |
| version | String | Valid version as provided by RChilli | Required |
| subuserid | String | As per contract | Required |
JSON Request For Bias Detection plugin API
Below is the API Request in JSON Format:
{
"userkey": "Use Your userkey",
"subuserid": "piyush",
"filename": "SampleDocument-sg.docx",
"filedata": 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}API Response Parameters
Follow the below table for the Bias Detection plugin API response parameters
details.
| Name | Type | Description |
|---|---|---|
| BiasDetection | String | All insights, including detected bias indicators, tone
classification, and improvement suggestions, are returned in the
response under the BiasDetection
entity. |
Note: The other output parameters are same as the
resume parser output schema, see Response Schema for more
details.
JSON Response For Bias Detection plugin API
Below is the API Response in JSON Format:{
"ResumeParserData": {
"ResumeFileName": "SampleDocument-sg.docx",
"ResumeLanguage": {
"Language": "English",
"LanguageCode": "en"
},
"ParsingDate": "24/03/2025 6:21:08",
"ResumeCountry": {},
"Name": {
"FullName": "John Doe",
"TitleName": "",
"FirstName": "John",
"MiddleName": "",
"LastName": "Doe",
"FormattedName": "John Doe",
"ConfidenceScore": 10
},
"DateOfBirth": "",
"Gender": "",
"FatherName": "",
"MotherName": "",
"MaritalStatus": "",
"Nationality": "",
"LanguageKnown": [
{
"Language": "",
"LanguageCode": ""
}
],
"UniqueID": "",
"LicenseNo": "",
"PassportDetail": {
"PassportNumber": "",
"DateOfExpiry": "",
"DateOfIssue": "",
"PlaceOfIssue": ""
},
"PanNo": "",
"VisaStatus": "",
"Email": [
{
"EmailAddress": "",
"ConfidenceScore": 0
}
],
"PhoneNumber": [],
"WebSite": [
{
"Type": "",
"Url": ""
}
],
"Address": [
{
"Street": "",
"City": "",
"State": "",
"StateIsoCode": "",
"Country": "",
"CountryCode": {
"IsoAlpha2": "",
"IsoAlpha3": "",
"UNCode": ""
},
"ZipCode": "",
"FormattedAddress": "",
"Type": "",
"ConfidenceScore": 0
}
],
"Category": "Information",
"SubCategory": "Software Developers and Programmers",
"CurrentSalary": {
"Amount": "",
"Symbol": "",
"Currency": "",
"Unit": "",
"Text": ""
},
"ExpectedSalary": {
"Amount": "",
"Symbol": "",
"Currency": "",
"Unit": "",
"Text": ""
},
"Qualification": "",
"SegregatedQualification": [],
"Certification": "",
"SegregatedCertification": [],
"SkillBlock": "",
"SkillKeywords": "Talented,Less,API,Sales",
"SegregatedSkill": [
{
"Type": "SoftSkill",
"Skill": "Talented",
"Ontology": "Management of Companies and Enterprises>Managers, All Other>Talented",
"Alias": "Highly Skilled, Highly-Skilled, Talented Person, Talented Skills",
"FormattedName": "Talented",
"Evidence": "SummarySection",
"LastUsed": "",
"ExperienceInMonths": 0
},
{
"Type": "OperationalSkill",
"Skill": "Less",
"Ontology": "Information>Software Developers and Programmers>Programming Language>LESS",
"Alias": "Leaner Style Sheets, Leaner Style Sheets 4.1.3, LESS 4.1.3, LESS Programming, LESS Programming language, Less.js",
"FormattedName": "LESS",
"Evidence": "SummarySection",
"LastUsed": "",
"ExperienceInMonths": 0
},
{
"Type": "OperationalSkill",
"Skill": "API",
"Ontology": "Information>Software Developers and Programmers>Application Programming Interface",
"Alias": "API, API Development, API Framework, Api Integration, API-Development, apis development, Application program interface, Application program interface Development, Application Programming, Application Programming Interface Development, Application Programming Interface Integration, application programming interfaces, Application-Programming, Application-Programming Interface, Application-Programming-Interface, applications programming, Backend Integration, bapi development, bapi processing, Bapi Programming, Business Application Interface, Business Application Programming, Business Application Programming Interface, Business Application Programming-Interface, Code interface, Code interfaces, Developing APIs, Framework Api, interface applications, programming interface, Software Interface",
"FormattedName": "Application Programming Interface",
"Evidence": "SummarySection",
"LastUsed": "",
"ExperienceInMonths": 0
},
{
"Type": "OperationalSkill",
"Skill": "Sales",
"Ontology": "Wholesale Trade>Sales Representatives, Services>Sales",
"Alias": "knowledge of sales, sale skills, Sales Concepts, Sales Knowledge, Sales Skill, Sales Skills, Sales-Knowledge, Salesmanship, selling, Selling Abilities, Selling Skills",
"FormattedName": "Sales",
"Evidence": "SummarySection",
"LastUsed": "",
"ExperienceInMonths": 0
}
],
"Experience": "",
"SegregatedExperience": [
{
"Employer": {
"EmployerName": "",
"FormattedName": "",
"ConfidenceScore": 0
},
"JobProfile": {
"Title": "",
"FormattedName": "",
"Alias": "",
"RelatedSkills": [],
"ConfidenceScore": 0
},
"Location": {
"City": "",
"State": "",
"StateIsoCode": "",
"Country": "",
"CountryCode": {
"IsoAlpha2": "",
"IsoAlpha3": "",
"UNCode": ""
}
},
"JobPeriod": "",
"FormattedJobPeriod": "",
"StartDate": "",
"EndDate": "",
"IsCurrentEmployer": "false",
"JobDescription": "",
"Projects": [
{
"UsedSkills": "",
"ProjectName": "",
"TeamSize": ""
}
]
}
],
"CurrentEmployer": "",
"JobProfile": "",
"WorkedPeriod": {
"TotalExperienceInMonths": "120",
"TotalExperienceInYear": "10.0",
"TotalExperienceRange": "8-10 YEAR"
},
"GapPeriod": "",
"AverageStay": "",
"LongestStay": "",
"Summary": "A highly aggressive and competitive professional with over 10 years of experience in sales. Known for dominating the market and achieving record-breaking targets. Looking for a young and dynamic team to work with. \r Issues Detected by Bias Detection API : \r Gender Bias : Words like aggressive and dominating may be seen as male-coded language. \r Age Bias : Mentioning young and dynamic might discourage older professionals. \r Experience Bias : Highlighting over 10 years may discourage talented professionals with less experience.",
"ExecutiveSummary": "John doesn't have any experience in the resume.",
"ManagementSummary": "John doesn't have any management level experience in the resume.",
"Coverletter": "",
"Publication": "",
"SegregatedPublication": [],
"CurrentLocation": [],
"PreferredLocation": [],
"Availability": "",
"Hobbies": "",
"Objectives": "",
"Achievements": "",
"SegregatedAchievement": [],
"References": "",
"CustomFields": "Parsing Time : 328ms",
"EmailInfo": {
"EmailTo": " ",
"EmailBody": " ",
"EmailReplyTo": " ",
"EmailSignature": " ",
"EmailFrom": " ",
"EmailSubject": " ",
"EmailCC": " "
},
"Recommendations": [
{
"PersonName": "",
"CompanyName": "",
"Relation": "",
"PositionTitle": "",
"Description": ""
}
],
"DetailResume": "Candidate Name : John Doe\n Summary : \nA highly aggressive and competitive professional with over 10 years of experience in sales. Known for dominating the market and achieving record-breaking targets. Looking for a young and dynamic team to work with.\nIssues Detected by Bias Detection API : \n Gender Bias : Words like aggressive and dominating may be seen as male-coded language.\n Age Bias : Mentioning young and dynamic might discourage older professionals.\n Experience Bias : Highlighting over 10 years may discourage talented professionals with less experience.",
"HtmlResume": "<html><head><meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" /><meta http-equiv=\"Content-Style-Type\" content=\"text/css\" /><meta name=\"generator\" content=\"Aspose.Words for Java 23.7.0\" /><title></title></head><body style=\"font-family:Calibri; font-size:10pt\"><div><p style=\"margin-top:0pt; margin-bottom:14pt; font-size:12pt\"><span style=\"font-family:'Times New Roman'; font-weight:bold\"> Candidate Name:</span><span style=\"font-family:'Times New Roman'\"> John Doe</span><br /><span style=\"font-family:'Times New Roman'; font-weight:bold\"> Summary:</span><br /><span style=\"font-family:'Times New Roman'; font-style:italic\">\"A highly </span><span style=\"font-family:'Times New Roman'; font-weight:bold\">aggressive and competitive</span><span style=\"font-family:'Times New Roman'; font-style:italic\"> professional with </span><span style=\"font-family:'Times New Roman'; font-weight:bold\">over 10 years</span><span style=\"font-family:'Times New Roman'; font-style:italic\"> of experience in sales. Known for </span><span style=\"font-family:'Times New Roman'; font-weight:bold\">dominating</span><span style=\"font-family:'Times New Roman'; font-style:italic\"> the market and achieving </span><span style=\"font-family:'Times New Roman'; font-weight:bold\">record-breaking</span><span style=\"font-family:'Times New Roman'; font-style:italic\"> targets. Looking for a </span><span style=\"font-family:'Times New Roman'; font-weight:bold\">young and dynamic</span><span style=\"font-family:'Times New Roman'; font-style:italic\"> team to work with.\"</span></p><h4 style=\"margin-top:14pt; margin-bottom:14pt; font-size:12pt\"><span style=\"font-family:SimSun; font-weight:normal\">Issues Detected by Bias Detection API:</span></h4><p style=\"margin-top:14pt; margin-bottom:14pt; font-size:12pt\"><span style=\"font-family:'Times New Roman'\"> </span><span style=\"font-family:'Times New Roman'; font-weight:bold\">Gender Bias:</span><span style=\"font-family:'Times New Roman'\"> Words like </span><span style=\"font-family:'Times New Roman'; font-weight:bold\">\"aggressive\" and \"dominating\"</span><span style=\"font-family:'Times New Roman'\"> may be seen as male-coded language.</span><br /><span style=\"font-family:'Times New Roman'\"> </span><span style=\"font-family:'Times New Roman'; font-weight:bold\">Age Bias:</span><span style=\"font-family:'Times New Roman'\"> Mentioning </span><span style=\"font-family:'Times New Roman'; font-weight:bold\">\"young and dynamic\"</span><span style=\"font-family:'Times New Roman'\"> might discourage older professionals.</span><br /><span style=\"font-family:'Times New Roman'\"> </span><span style=\"font-family:'Times New Roman'; font-weight:bold\">Experience Bias:</span><span style=\"font-family:'Times New Roman'\"> Highlighting </span><span style=\"font-family:'Times New Roman'; font-weight:bold\">\"over 10 years\"</span><span style=\"font-family:'Times New Roman'\"> may discourage talented professionals with less experience.</span></p><p style=\"margin-top:0pt; margin-bottom:0pt\"><span style=\"-aw-import:ignore\"> </span></p></div></body></html>",
"CandidateImage": {
"CandidateImageData": "",
"CandidateImageFormat": ""
},
"TemplateOutput": {
"TemplateOutputData": "",
"TemplateOutputFileName": ""
},
"ApiInfo": {
"Metered": "No",
"CreditLeft": "1560.9",
"AccountExpiryDate": "31/08/2026 23:59:00",
"BuildVersion": "8.0.0.2025.03.19"
}
},
"BiasDetection": {
"sentiment_analysis": {
"emotional_intensity": "medium",
"overall_tone": "positive",
"confidence_markers": {
"positive_indicators": [
"results-driven",
"strategic"
],
"negative_indicators": []
}
},
"bias_detection": {
"gender_bias": {
"severity": "medium",
"detected_terms": [
"managerial",
"leadership"
],
"recommendations": [
"Use more inclusive language to describe roles and responsibilities.",
"Avoid using terms that imply a specific gender for leadership positions."
]
},
"cultural_bias": {
"severity": "low",
"detected_terms": [
"traditional",
"western"
],
"recommendations": [
"Use more inclusive language to describe cultural backgrounds and experiences."
]
},
"age_bias": {
"severity": "N/A",
"detected_terms": [],
"recommendations": []
}
},
"language_recommendations": {
"tone_improvement_suggestions": [
"Use more assertive language to convey confidence and professionalism.",
"Avoid apologetic or hesitant tone in job descriptions."
],
"inclusive_language_suggestions": [
"Use person-first language (e.g., 'employee' instead of 'worker').",
"Avoid using terms that imply a specific gender or age for job titles."
],
"bias_mitigation_strategies": [
"Use blind hiring practices to reduce unconscious bias.",
"Regularly review and update job descriptions to ensure inclusivity."
]
},
"communication_style_score": {
"professionalism": 8,
"inclusivity": 7,
"clarity": 9
}
}
}