Compare Skills To Profession🔗︎
HTTP Verb | Path | |
---|---|---|
POST | /v10/ontology/compare-skills-to-profession | |
POST | /v10/ontology/v2/compare-skills-to-profession | Includes Certifications |
Compare a given set of skills to the skills related to a given profession.
Info
- You can try this endpoint out at our Swagger page ( US Data Center | EU Data Center | AU Data Center )
- The skill set used to determine the "common skills" is a larger set than /suggestskills returns. This is done to ensure less salient skills are listed as common ones if they are related to both professions. That means that the "common skills" don't necessarily align with the suggested skills.
Scope of use🔗︎
The purpose of this endpoint is to provide insights or enrich data records using our Ontology. You may store the parts of the response that are relevant to individual data records - such as candidate or employee profiles - within these records. It is not permitted to cache, store, or utilize responses from this endpoint for the purpose of limiting request volume, or to create replicas or derivatives of the Service and the Ontology.
Request Body🔗︎
Skills 🔗︎ object[]
required
Skills🔗︎
The skills which should be compared against the given profession. The list can contain up to 50 skills.
Skills properties
ProfessionCodeId 🔗︎ int
required
ProfessionCodeId🔗︎
The profession code ID from the Professions Taxonomy to compare the skill set to.
OutputLanguage 🔗︎ string
OutputLanguage🔗︎
The language to use for the returned descriptions. If not provided, no descriptions are returned. Must be one of the supported ISO codes.
Sample JSON
Response Body🔗︎
Info 🔗︎ object
Info🔗︎
Information explaining the outcome of the transaction.
Info properties
Code 🔗︎ string
Code🔗︎
Code | Description |
---|---|
Success |
Successful transaction |
MissingParameter |
A required parameter wasn't provided |
InvalidParameter |
A parameter was incorrectly specified |
AuthenticationError |
An error occurred with the credentials provided |
Message 🔗︎ string
Message🔗︎
This message further describes the code providing additional detail.
TransactionId 🔗︎ string
TransactionId🔗︎
The (GUID) id for a specific API transaction. Use this when contacting support@textkernel.com about issues.
EngineVersion 🔗︎ string
EngineVersion🔗︎
The version of the parsing/matching engine running under-the-hood.
TotalElapsedMilliseconds 🔗︎ integer
TotalElapsedMilliseconds🔗︎
How long the transaction took on Textkernel's server, in milliseconds. If the transaction takes longer to complete on the client side, that extra duration is solely network latency.
TransactionCost 🔗︎ decimal
TransactionCost🔗︎
How many credits the transaction costs.How many credits the transaction costs.
CustomerDetails 🔗︎ object
CustomerDetails🔗︎
Information about the customer who made the API call.
CustomerDetails properties
CreditsRemaining 🔗︎ decimal
CreditsRemaining🔗︎
The number of credits remaining to be used by the account.
Value 🔗︎ object
Value🔗︎
Contains response data for the transaction.
Value properties
SimilarityScore 🔗︎ float
SimilarityScore🔗︎
A value from [0 - 1] indicating the similarity of the skill set and profession.
CommonSkills 🔗︎ object[]
CommonSkills🔗︎
A list of common skills between skill set and profession.
CommonSkills properties
InputSkillsNotInProfession 🔗︎ string[]
InputSkillsNotInProfession🔗︎
The list of given skill IDs that are not associated to the given profession.
MissingSkillsFoundInProfession 🔗︎ object[]
MissingSkillsFoundInProfession🔗︎
A list of skills associated with the profession but missing from list of provided skills.
MissingSkillsFoundInProfession properties
Sample JSON
{
"Info": {
"Code": "string",
"Message": "string",
"TransactionId": "string",
"EngineVersion": "string",
"ApiVersion": "string",
"TotalElapsedMilliseconds": 0,
"TransactionCost": 0,
"CustomerDetails": {
"AccountId": "string",
"Name": "string",
"IPAddress": "string",
"Region": "string",
"CreditsRemaining": 0,
"CreditsUsed": 0,
"ExpirationDate": "2021-12-31",
"MaximumConcurrentRequests": 0
}
},
"Value": {
"SimilarityScore": 0.0,
"CommonSkills": [
{
"Score": 0.0,
"Id": "string",
"Description": "string"
}
],
"InputSkillsNotInProfession": [
""
],
"MissingSkillsFoundInProfession": [
{
"Score": 0.0,
"Id": "string",
"Description": "string"
}
]
}
}