curl --request POST \
--url https://eomer-api.onrender.com/agent/validate \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"intent": {
"business_objective": "<string>",
"forecast_target": "<string>",
"time_column": "<string>",
"horizon": 2,
"forecast_frequency": "<string>",
"horizon_quantity": 123,
"horizon_unit": "<string>",
"entity_columns": [
"<string>"
],
"grouping_dimensions": [
"<string>"
],
"filters": [
{
"column": "<string>",
"op": "<string>",
"value": "<string>"
}
],
"covariates": [
"<string>"
],
"known_future_features": [
"<string>"
],
"historical_features": [
"<string>"
],
"confidence_intervals": [
123
],
"seasonality": [
123
],
"user_constraints": [
"<string>"
],
"review_status": "draft",
"missing_required_fields": [
"<string>"
],
"clarification_questions": [
{
"field": "<string>",
"question": "<string>",
"suggestions": [
"<string>"
]
}
],
"confidence": 0
},
"columns": [
"<string>"
],
"profile": {
"total_rows": 1,
"num_items": 1,
"min_length": 1,
"max_length": 1,
"avg_length": 1,
"missingness_ratio": 0.5,
"inferred_freq_str": "<string>",
"has_negatives": false,
"covers_weekends": true,
"value_min": 123,
"value_max": 123,
"candidate_seasonality": [
123
],
"suspected_covariates": [
"<string>"
]
}
}
'import requests
url = "https://eomer-api.onrender.com/agent/validate"
payload = {
"intent": {
"business_objective": "<string>",
"forecast_target": "<string>",
"time_column": "<string>",
"horizon": 2,
"forecast_frequency": "<string>",
"horizon_quantity": 123,
"horizon_unit": "<string>",
"entity_columns": ["<string>"],
"grouping_dimensions": ["<string>"],
"filters": [
{
"column": "<string>",
"op": "<string>",
"value": "<string>"
}
],
"covariates": ["<string>"],
"known_future_features": ["<string>"],
"historical_features": ["<string>"],
"confidence_intervals": [123],
"seasonality": [123],
"user_constraints": ["<string>"],
"review_status": "draft",
"missing_required_fields": ["<string>"],
"clarification_questions": [
{
"field": "<string>",
"question": "<string>",
"suggestions": ["<string>"]
}
],
"confidence": 0
},
"columns": ["<string>"],
"profile": {
"total_rows": 1,
"num_items": 1,
"min_length": 1,
"max_length": 1,
"avg_length": 1,
"missingness_ratio": 0.5,
"inferred_freq_str": "<string>",
"has_negatives": False,
"covers_weekends": True,
"value_min": 123,
"value_max": 123,
"candidate_seasonality": [123],
"suspected_covariates": ["<string>"]
}
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
intent: {
business_objective: '<string>',
forecast_target: '<string>',
time_column: '<string>',
horizon: 2,
forecast_frequency: '<string>',
horizon_quantity: 123,
horizon_unit: '<string>',
entity_columns: ['<string>'],
grouping_dimensions: ['<string>'],
filters: [{column: '<string>', op: '<string>', value: '<string>'}],
covariates: ['<string>'],
known_future_features: ['<string>'],
historical_features: ['<string>'],
confidence_intervals: [123],
seasonality: [123],
user_constraints: ['<string>'],
review_status: 'draft',
missing_required_fields: ['<string>'],
clarification_questions: [{field: '<string>', question: '<string>', suggestions: ['<string>']}],
confidence: 0
},
columns: ['<string>'],
profile: {
total_rows: 1,
num_items: 1,
min_length: 1,
max_length: 1,
avg_length: 1,
missingness_ratio: 0.5,
inferred_freq_str: '<string>',
has_negatives: false,
covers_weekends: true,
value_min: 123,
value_max: 123,
candidate_seasonality: [123],
suspected_covariates: ['<string>']
}
})
};
fetch('https://eomer-api.onrender.com/agent/validate', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://eomer-api.onrender.com/agent/validate",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'intent' => [
'business_objective' => '<string>',
'forecast_target' => '<string>',
'time_column' => '<string>',
'horizon' => 2,
'forecast_frequency' => '<string>',
'horizon_quantity' => 123,
'horizon_unit' => '<string>',
'entity_columns' => [
'<string>'
],
'grouping_dimensions' => [
'<string>'
],
'filters' => [
[
'column' => '<string>',
'op' => '<string>',
'value' => '<string>'
]
],
'covariates' => [
'<string>'
],
'known_future_features' => [
'<string>'
],
'historical_features' => [
'<string>'
],
'confidence_intervals' => [
123
],
'seasonality' => [
123
],
'user_constraints' => [
'<string>'
],
'review_status' => 'draft',
'missing_required_fields' => [
'<string>'
],
'clarification_questions' => [
[
'field' => '<string>',
'question' => '<string>',
'suggestions' => [
'<string>'
]
]
],
'confidence' => 0
],
'columns' => [
'<string>'
],
'profile' => [
'total_rows' => 1,
'num_items' => 1,
'min_length' => 1,
'max_length' => 1,
'avg_length' => 1,
'missingness_ratio' => 0.5,
'inferred_freq_str' => '<string>',
'has_negatives' => false,
'covers_weekends' => true,
'value_min' => 123,
'value_max' => 123,
'candidate_seasonality' => [
123
],
'suspected_covariates' => [
'<string>'
]
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://eomer-api.onrender.com/agent/validate"
payload := strings.NewReader("{\n \"intent\": {\n \"business_objective\": \"<string>\",\n \"forecast_target\": \"<string>\",\n \"time_column\": \"<string>\",\n \"horizon\": 2,\n \"forecast_frequency\": \"<string>\",\n \"horizon_quantity\": 123,\n \"horizon_unit\": \"<string>\",\n \"entity_columns\": [\n \"<string>\"\n ],\n \"grouping_dimensions\": [\n \"<string>\"\n ],\n \"filters\": [\n {\n \"column\": \"<string>\",\n \"op\": \"<string>\",\n \"value\": \"<string>\"\n }\n ],\n \"covariates\": [\n \"<string>\"\n ],\n \"known_future_features\": [\n \"<string>\"\n ],\n \"historical_features\": [\n \"<string>\"\n ],\n \"confidence_intervals\": [\n 123\n ],\n \"seasonality\": [\n 123\n ],\n \"user_constraints\": [\n \"<string>\"\n ],\n \"review_status\": \"draft\",\n \"missing_required_fields\": [\n \"<string>\"\n ],\n \"clarification_questions\": [\n {\n \"field\": \"<string>\",\n \"question\": \"<string>\",\n \"suggestions\": [\n \"<string>\"\n ]\n }\n ],\n \"confidence\": 0\n },\n \"columns\": [\n \"<string>\"\n ],\n \"profile\": {\n \"total_rows\": 1,\n \"num_items\": 1,\n \"min_length\": 1,\n \"max_length\": 1,\n \"avg_length\": 1,\n \"missingness_ratio\": 0.5,\n \"inferred_freq_str\": \"<string>\",\n \"has_negatives\": false,\n \"covers_weekends\": true,\n \"value_min\": 123,\n \"value_max\": 123,\n \"candidate_seasonality\": [\n 123\n ],\n \"suspected_covariates\": [\n \"<string>\"\n ]\n }\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://eomer-api.onrender.com/agent/validate")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"intent\": {\n \"business_objective\": \"<string>\",\n \"forecast_target\": \"<string>\",\n \"time_column\": \"<string>\",\n \"horizon\": 2,\n \"forecast_frequency\": \"<string>\",\n \"horizon_quantity\": 123,\n \"horizon_unit\": \"<string>\",\n \"entity_columns\": [\n \"<string>\"\n ],\n \"grouping_dimensions\": [\n \"<string>\"\n ],\n \"filters\": [\n {\n \"column\": \"<string>\",\n \"op\": \"<string>\",\n \"value\": \"<string>\"\n }\n ],\n \"covariates\": [\n \"<string>\"\n ],\n \"known_future_features\": [\n \"<string>\"\n ],\n \"historical_features\": [\n \"<string>\"\n ],\n \"confidence_intervals\": [\n 123\n ],\n \"seasonality\": [\n 123\n ],\n \"user_constraints\": [\n \"<string>\"\n ],\n \"review_status\": \"draft\",\n \"missing_required_fields\": [\n \"<string>\"\n ],\n \"clarification_questions\": [\n {\n \"field\": \"<string>\",\n \"question\": \"<string>\",\n \"suggestions\": [\n \"<string>\"\n ]\n }\n ],\n \"confidence\": 0\n },\n \"columns\": [\n \"<string>\"\n ],\n \"profile\": {\n \"total_rows\": 1,\n \"num_items\": 1,\n \"min_length\": 1,\n \"max_length\": 1,\n \"avg_length\": 1,\n \"missingness_ratio\": 0.5,\n \"inferred_freq_str\": \"<string>\",\n \"has_negatives\": false,\n \"covers_weekends\": true,\n \"value_min\": 123,\n \"value_max\": 123,\n \"candidate_seasonality\": [\n 123\n ],\n \"suspected_covariates\": [\n \"<string>\"\n ]\n }\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://eomer-api.onrender.com/agent/validate")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"intent\": {\n \"business_objective\": \"<string>\",\n \"forecast_target\": \"<string>\",\n \"time_column\": \"<string>\",\n \"horizon\": 2,\n \"forecast_frequency\": \"<string>\",\n \"horizon_quantity\": 123,\n \"horizon_unit\": \"<string>\",\n \"entity_columns\": [\n \"<string>\"\n ],\n \"grouping_dimensions\": [\n \"<string>\"\n ],\n \"filters\": [\n {\n \"column\": \"<string>\",\n \"op\": \"<string>\",\n \"value\": \"<string>\"\n }\n ],\n \"covariates\": [\n \"<string>\"\n ],\n \"known_future_features\": [\n \"<string>\"\n ],\n \"historical_features\": [\n \"<string>\"\n ],\n \"confidence_intervals\": [\n 123\n ],\n \"seasonality\": [\n 123\n ],\n \"user_constraints\": [\n \"<string>\"\n ],\n \"review_status\": \"draft\",\n \"missing_required_fields\": [\n \"<string>\"\n ],\n \"clarification_questions\": [\n {\n \"field\": \"<string>\",\n \"question\": \"<string>\",\n \"suggestions\": [\n \"<string>\"\n ]\n }\n ],\n \"confidence\": 0\n },\n \"columns\": [\n \"<string>\"\n ],\n \"profile\": {\n \"total_rows\": 1,\n \"num_items\": 1,\n \"min_length\": 1,\n \"max_length\": 1,\n \"avg_length\": 1,\n \"missingness_ratio\": 0.5,\n \"inferred_freq_str\": \"<string>\",\n \"has_negatives\": false,\n \"covers_weekends\": true,\n \"value_min\": 123,\n \"value_max\": 123,\n \"candidate_seasonality\": [\n 123\n ],\n \"suspected_covariates\": [\n \"<string>\"\n ]\n }\n}"
response = http.request(request)
puts response.read_body{
"intent": {
"business_objective": "<string>",
"forecast_target": "<string>",
"time_column": "<string>",
"horizon": 2,
"forecast_frequency": "<string>",
"horizon_quantity": 123,
"horizon_unit": "<string>",
"entity_columns": [
"<string>"
],
"grouping_dimensions": [
"<string>"
],
"filters": [
{
"column": "<string>",
"op": "<string>",
"value": "<string>"
}
],
"covariates": [
"<string>"
],
"known_future_features": [
"<string>"
],
"historical_features": [
"<string>"
],
"confidence_intervals": [
123
],
"seasonality": [
123
],
"user_constraints": [
"<string>"
],
"review_status": "draft",
"missing_required_fields": [
"<string>"
],
"clarification_questions": [
{
"field": "<string>",
"question": "<string>",
"suggestions": [
"<string>"
]
}
],
"confidence": 0
},
"columns": [
"<string>"
],
"covariate_suggestions": [
{
"source": "<string>",
"variables": [
"<string>"
],
"rationale": "<string>",
"requirements": {}
}
],
"profile": {
"total_rows": 1,
"num_items": 1,
"min_length": 1,
"max_length": 1,
"avg_length": 1,
"missingness_ratio": 0.5,
"inferred_freq_str": "<string>",
"has_negatives": false,
"covers_weekends": true,
"value_min": 123,
"value_max": 123,
"candidate_seasonality": [
123
],
"suspected_covariates": [
"<string>"
]
}
}{
"detail": [
{
"loc": [
"<string>"
],
"msg": "<string>",
"type": "<string>",
"input": "<unknown>",
"ctx": {}
}
]
}Validate Forecast Intent
Re-validate a (partially edited) intent against the dataset columns. The deterministic clarify-loop step: the frontend merges the user’s
answers into intent and posts it here to recompute
missing_required_fields / clarification_questions / review_status
with no model call.
curl --request POST \
--url https://eomer-api.onrender.com/agent/validate \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"intent": {
"business_objective": "<string>",
"forecast_target": "<string>",
"time_column": "<string>",
"horizon": 2,
"forecast_frequency": "<string>",
"horizon_quantity": 123,
"horizon_unit": "<string>",
"entity_columns": [
"<string>"
],
"grouping_dimensions": [
"<string>"
],
"filters": [
{
"column": "<string>",
"op": "<string>",
"value": "<string>"
}
],
"covariates": [
"<string>"
],
"known_future_features": [
"<string>"
],
"historical_features": [
"<string>"
],
"confidence_intervals": [
123
],
"seasonality": [
123
],
"user_constraints": [
"<string>"
],
"review_status": "draft",
"missing_required_fields": [
"<string>"
],
"clarification_questions": [
{
"field": "<string>",
"question": "<string>",
"suggestions": [
"<string>"
]
}
],
"confidence": 0
},
"columns": [
"<string>"
],
"profile": {
"total_rows": 1,
"num_items": 1,
"min_length": 1,
"max_length": 1,
"avg_length": 1,
"missingness_ratio": 0.5,
"inferred_freq_str": "<string>",
"has_negatives": false,
"covers_weekends": true,
"value_min": 123,
"value_max": 123,
"candidate_seasonality": [
123
],
"suspected_covariates": [
"<string>"
]
}
}
'import requests
url = "https://eomer-api.onrender.com/agent/validate"
payload = {
"intent": {
"business_objective": "<string>",
"forecast_target": "<string>",
"time_column": "<string>",
"horizon": 2,
"forecast_frequency": "<string>",
"horizon_quantity": 123,
"horizon_unit": "<string>",
"entity_columns": ["<string>"],
"grouping_dimensions": ["<string>"],
"filters": [
{
"column": "<string>",
"op": "<string>",
"value": "<string>"
}
],
"covariates": ["<string>"],
"known_future_features": ["<string>"],
"historical_features": ["<string>"],
"confidence_intervals": [123],
"seasonality": [123],
"user_constraints": ["<string>"],
"review_status": "draft",
"missing_required_fields": ["<string>"],
"clarification_questions": [
{
"field": "<string>",
"question": "<string>",
"suggestions": ["<string>"]
}
],
"confidence": 0
},
"columns": ["<string>"],
"profile": {
"total_rows": 1,
"num_items": 1,
"min_length": 1,
"max_length": 1,
"avg_length": 1,
"missingness_ratio": 0.5,
"inferred_freq_str": "<string>",
"has_negatives": False,
"covers_weekends": True,
"value_min": 123,
"value_max": 123,
"candidate_seasonality": [123],
"suspected_covariates": ["<string>"]
}
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
intent: {
business_objective: '<string>',
forecast_target: '<string>',
time_column: '<string>',
horizon: 2,
forecast_frequency: '<string>',
horizon_quantity: 123,
horizon_unit: '<string>',
entity_columns: ['<string>'],
grouping_dimensions: ['<string>'],
filters: [{column: '<string>', op: '<string>', value: '<string>'}],
covariates: ['<string>'],
known_future_features: ['<string>'],
historical_features: ['<string>'],
confidence_intervals: [123],
seasonality: [123],
user_constraints: ['<string>'],
review_status: 'draft',
missing_required_fields: ['<string>'],
clarification_questions: [{field: '<string>', question: '<string>', suggestions: ['<string>']}],
confidence: 0
},
columns: ['<string>'],
profile: {
total_rows: 1,
num_items: 1,
min_length: 1,
max_length: 1,
avg_length: 1,
missingness_ratio: 0.5,
inferred_freq_str: '<string>',
has_negatives: false,
covers_weekends: true,
value_min: 123,
value_max: 123,
candidate_seasonality: [123],
suspected_covariates: ['<string>']
}
})
};
fetch('https://eomer-api.onrender.com/agent/validate', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://eomer-api.onrender.com/agent/validate",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'intent' => [
'business_objective' => '<string>',
'forecast_target' => '<string>',
'time_column' => '<string>',
'horizon' => 2,
'forecast_frequency' => '<string>',
'horizon_quantity' => 123,
'horizon_unit' => '<string>',
'entity_columns' => [
'<string>'
],
'grouping_dimensions' => [
'<string>'
],
'filters' => [
[
'column' => '<string>',
'op' => '<string>',
'value' => '<string>'
]
],
'covariates' => [
'<string>'
],
'known_future_features' => [
'<string>'
],
'historical_features' => [
'<string>'
],
'confidence_intervals' => [
123
],
'seasonality' => [
123
],
'user_constraints' => [
'<string>'
],
'review_status' => 'draft',
'missing_required_fields' => [
'<string>'
],
'clarification_questions' => [
[
'field' => '<string>',
'question' => '<string>',
'suggestions' => [
'<string>'
]
]
],
'confidence' => 0
],
'columns' => [
'<string>'
],
'profile' => [
'total_rows' => 1,
'num_items' => 1,
'min_length' => 1,
'max_length' => 1,
'avg_length' => 1,
'missingness_ratio' => 0.5,
'inferred_freq_str' => '<string>',
'has_negatives' => false,
'covers_weekends' => true,
'value_min' => 123,
'value_max' => 123,
'candidate_seasonality' => [
123
],
'suspected_covariates' => [
'<string>'
]
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://eomer-api.onrender.com/agent/validate"
payload := strings.NewReader("{\n \"intent\": {\n \"business_objective\": \"<string>\",\n \"forecast_target\": \"<string>\",\n \"time_column\": \"<string>\",\n \"horizon\": 2,\n \"forecast_frequency\": \"<string>\",\n \"horizon_quantity\": 123,\n \"horizon_unit\": \"<string>\",\n \"entity_columns\": [\n \"<string>\"\n ],\n \"grouping_dimensions\": [\n \"<string>\"\n ],\n \"filters\": [\n {\n \"column\": \"<string>\",\n \"op\": \"<string>\",\n \"value\": \"<string>\"\n }\n ],\n \"covariates\": [\n \"<string>\"\n ],\n \"known_future_features\": [\n \"<string>\"\n ],\n \"historical_features\": [\n \"<string>\"\n ],\n \"confidence_intervals\": [\n 123\n ],\n \"seasonality\": [\n 123\n ],\n \"user_constraints\": [\n \"<string>\"\n ],\n \"review_status\": \"draft\",\n \"missing_required_fields\": [\n \"<string>\"\n ],\n \"clarification_questions\": [\n {\n \"field\": \"<string>\",\n \"question\": \"<string>\",\n \"suggestions\": [\n \"<string>\"\n ]\n }\n ],\n \"confidence\": 0\n },\n \"columns\": [\n \"<string>\"\n ],\n \"profile\": {\n \"total_rows\": 1,\n \"num_items\": 1,\n \"min_length\": 1,\n \"max_length\": 1,\n \"avg_length\": 1,\n \"missingness_ratio\": 0.5,\n \"inferred_freq_str\": \"<string>\",\n \"has_negatives\": false,\n \"covers_weekends\": true,\n \"value_min\": 123,\n \"value_max\": 123,\n \"candidate_seasonality\": [\n 123\n ],\n \"suspected_covariates\": [\n \"<string>\"\n ]\n }\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://eomer-api.onrender.com/agent/validate")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"intent\": {\n \"business_objective\": \"<string>\",\n \"forecast_target\": \"<string>\",\n \"time_column\": \"<string>\",\n \"horizon\": 2,\n \"forecast_frequency\": \"<string>\",\n \"horizon_quantity\": 123,\n \"horizon_unit\": \"<string>\",\n \"entity_columns\": [\n \"<string>\"\n ],\n \"grouping_dimensions\": [\n \"<string>\"\n ],\n \"filters\": [\n {\n \"column\": \"<string>\",\n \"op\": \"<string>\",\n \"value\": \"<string>\"\n }\n ],\n \"covariates\": [\n \"<string>\"\n ],\n \"known_future_features\": [\n \"<string>\"\n ],\n \"historical_features\": [\n \"<string>\"\n ],\n \"confidence_intervals\": [\n 123\n ],\n \"seasonality\": [\n 123\n ],\n \"user_constraints\": [\n \"<string>\"\n ],\n \"review_status\": \"draft\",\n \"missing_required_fields\": [\n \"<string>\"\n ],\n \"clarification_questions\": [\n {\n \"field\": \"<string>\",\n \"question\": \"<string>\",\n \"suggestions\": [\n \"<string>\"\n ]\n }\n ],\n \"confidence\": 0\n },\n \"columns\": [\n \"<string>\"\n ],\n \"profile\": {\n \"total_rows\": 1,\n \"num_items\": 1,\n \"min_length\": 1,\n \"max_length\": 1,\n \"avg_length\": 1,\n \"missingness_ratio\": 0.5,\n \"inferred_freq_str\": \"<string>\",\n \"has_negatives\": false,\n \"covers_weekends\": true,\n \"value_min\": 123,\n \"value_max\": 123,\n \"candidate_seasonality\": [\n 123\n ],\n \"suspected_covariates\": [\n \"<string>\"\n ]\n }\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://eomer-api.onrender.com/agent/validate")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"intent\": {\n \"business_objective\": \"<string>\",\n \"forecast_target\": \"<string>\",\n \"time_column\": \"<string>\",\n \"horizon\": 2,\n \"forecast_frequency\": \"<string>\",\n \"horizon_quantity\": 123,\n \"horizon_unit\": \"<string>\",\n \"entity_columns\": [\n \"<string>\"\n ],\n \"grouping_dimensions\": [\n \"<string>\"\n ],\n \"filters\": [\n {\n \"column\": \"<string>\",\n \"op\": \"<string>\",\n \"value\": \"<string>\"\n }\n ],\n \"covariates\": [\n \"<string>\"\n ],\n \"known_future_features\": [\n \"<string>\"\n ],\n \"historical_features\": [\n \"<string>\"\n ],\n \"confidence_intervals\": [\n 123\n ],\n \"seasonality\": [\n 123\n ],\n \"user_constraints\": [\n \"<string>\"\n ],\n \"review_status\": \"draft\",\n \"missing_required_fields\": [\n \"<string>\"\n ],\n \"clarification_questions\": [\n {\n \"field\": \"<string>\",\n \"question\": \"<string>\",\n \"suggestions\": [\n \"<string>\"\n ]\n }\n ],\n \"confidence\": 0\n },\n \"columns\": [\n \"<string>\"\n ],\n \"profile\": {\n \"total_rows\": 1,\n \"num_items\": 1,\n \"min_length\": 1,\n \"max_length\": 1,\n \"avg_length\": 1,\n \"missingness_ratio\": 0.5,\n \"inferred_freq_str\": \"<string>\",\n \"has_negatives\": false,\n \"covers_weekends\": true,\n \"value_min\": 123,\n \"value_max\": 123,\n \"candidate_seasonality\": [\n 123\n ],\n \"suspected_covariates\": [\n \"<string>\"\n ]\n }\n}"
response = http.request(request)
puts response.read_body{
"intent": {
"business_objective": "<string>",
"forecast_target": "<string>",
"time_column": "<string>",
"horizon": 2,
"forecast_frequency": "<string>",
"horizon_quantity": 123,
"horizon_unit": "<string>",
"entity_columns": [
"<string>"
],
"grouping_dimensions": [
"<string>"
],
"filters": [
{
"column": "<string>",
"op": "<string>",
"value": "<string>"
}
],
"covariates": [
"<string>"
],
"known_future_features": [
"<string>"
],
"historical_features": [
"<string>"
],
"confidence_intervals": [
123
],
"seasonality": [
123
],
"user_constraints": [
"<string>"
],
"review_status": "draft",
"missing_required_fields": [
"<string>"
],
"clarification_questions": [
{
"field": "<string>",
"question": "<string>",
"suggestions": [
"<string>"
]
}
],
"confidence": 0
},
"columns": [
"<string>"
],
"covariate_suggestions": [
{
"source": "<string>",
"variables": [
"<string>"
],
"rationale": "<string>",
"requirements": {}
}
],
"profile": {
"total_rows": 1,
"num_items": 1,
"min_length": 1,
"max_length": 1,
"avg_length": 1,
"missingness_ratio": 0.5,
"inferred_freq_str": "<string>",
"has_negatives": false,
"covers_weekends": true,
"value_min": 123,
"value_max": 123,
"candidate_seasonality": [
123
],
"suspected_covariates": [
"<string>"
]
}
}{
"detail": [
{
"loc": [
"<string>"
],
"msg": "<string>",
"type": "<string>",
"input": "<unknown>",
"ctx": {}
}
]
}Authorizations
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
Body
Request body for POST /agent/validate — the LLM-free clarify step. The frontend merges the user's clarification answers into intent and
re-validates against columns; no file upload or model call is needed.
Response
Successful Response
Response from POST /agent/extract and POST /agent/validate. Carries the typed business intent plus the real dataset columns (so the
frontend can render answer chips for clarification questions) and the
aggregate profile when one could be computed.
Extracted + validated forecasting intent.
Show child attributes
Show child attributes
Real dataset column names (for answer chips).
Proactive, runnable covariate suggestions for the described use-case — the chat offers them as accept/decline chips.
Show child attributes
Show child attributes
Aggregate dataset profile when target/time/entity columns were detected.
Show child attributes
Show child attributes