Evaluate Content
Submit text content for evaluation.
application/json
Request Body required
text Text required
The text content to be evaluated.
Responses
- 200
- 422
Successful Response
application/json
Schema
Example (from schema)
Schema
- Array [
- ]
quality_score object required
overall Overall required
The overall quality score.
breakdown object required
content object required
purpose Purpose required
accuracy Accuracy required
depth Depth required
readability object required
score Score required
grade_level Grade Level required
complex_sentences object required
hard Hard required
very_hard Very Hard required
total Total required
seo object required
keyword_density Keyword Density required
top_entities object required
Additional Properties object[]
text Text required
count Count required
score Score required
metadata object required
word_count Word Count required
sentiment object required
polarity Polarity required
subjectivity Subjectivity required
performance object required
automated_metrics Automated Metrics required
llm_evaluation Llm Evaluation required
combine_metrics Combine Metrics required
quality_score Quality Score required
eval_id Eval Id required
{
"quality_score": {
"overall": 53.4,
"breakdown": {
"content": {
"purpose": 68,
"accuracy": 68,
"depth": 48
},
"readability": {
"score": 2.5,
"grade_level": 14,
"complex_sentences": {
"hard": 0,
"very_hard": 2,
"total": 4
}
},
"seo": {
"keyword_density": null,
"top_entities": {
"GPE": [
{
"text": "AI",
"count": 3
}
],
"ORDINAL": [
{
"text": "first",
"count": 2
}
],
"PRODUCT": [
{
"text": "Model Context Protocol",
"count": 1
}
],
"DATE": [
{
"text": "2027",
"count": 1
},
{
"text": "annual",
"count": 1
},
{
"text": "2023",
"count": 1
}
],
"MONEY": [
{
"text": "over $1 trillion",
"count": 1
},
{
"text": "$9–10 trillion",
"count": 1
},
{
"text": "$150–420 billion",
"count": 1
}
],
"PERSON": [
{
"text": "McKinsey",
"count": 2
},
{
"text": "Statista",
"count": 1
}
],
"PERCENT": [
{
"text": "10–15%",
"count": 1
},
{
"text": "35%",
"count": 1
}
],
"ORG": [
{
"text": "GlobalData",
"count": 1
},
{
"text": "Amazon",
"count": 1
},
{
"text": "Juniper Research",
"count": 1
}
]
},
"score": 68
}
}
},
"metadata": {
"word_count": 106,
"sentiment": {
"polarity": 0.16,
"subjectivity": 0.34
},
"performance": {
"automated_metrics": 0.029,
"llm_evaluation": 1.814,
"combine_metrics": 0,
"quality_score": 0
},
"eval_id": "eval_1744383532978"
}
}
Validation Error
application/json
Schema
Example (from schema)
Schema
- Array [
- Array [
- ]
- ]
detail object[]
loc object[] required
anyOf
MOD1
MOD2
string
integer
msg Message required
type Error Type required
{
"detail": [
{
"loc": [
"string",
0
],
"msg": "string",
"type": "string"
}
]
}
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