Extract Forecast Intent

Turn a natural-language prompt + dataset into a typed ForecastIntent. Synchronous, no job is created. The intent’s clarification_questions drive the chat follow-up loop; the frontend fills answers and re-validates via POST /agent/validate (no model call) before confirming a run.

POST /agent/extract

Extract Forecast Intent

cURL

curl --request POST \
  --url https://eomer-api.onrender.com/agent/extract \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: multipart/form-data' \
  --form 'file=<string>' \
  --form prompt=

import requests

url = "https://eomer-api.onrender.com/agent/extract"

payload = "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"file\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt\"\r\n\r\n\r\n-----011000010111000001101001--"
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "multipart/form-data"
}

response = requests.post(url, data=payload, headers=headers)

print(response.text)

const form = new FormData();
form.append('file', '<string>');
form.append('prompt', '');

const options = {method: 'POST', headers: {Authorization: 'Bearer <token>'}};

options.body = form;

fetch('https://eomer-api.onrender.com/agent/extract', 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/extract",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"file\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt\"\r\n\r\n\r\n-----011000010111000001101001--",
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: multipart/form-data"
  ],
]);

$response = curl_exec($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/extract"

	payload := strings.NewReader("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"file\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt\"\r\n\r\n\r\n-----011000010111000001101001--")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")

	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/extract")
  .header("Authorization", "Bearer <token>")
  .body("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"file\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt\"\r\n\r\n\r\n-----011000010111000001101001--")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://eomer-api.onrender.com/agent/extract")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request.body = "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"file\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt\"\r\n\r\n\r\n-----011000010111000001101001--"

response = http.request(request)
puts response.read_body

200

{
  "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

Authorization · string · header · required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Body

multipart/form-data

file · string | null

prompt · string · default: ""

Response

200

application/json

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.

intent · ForecastIntent · object · required

Extracted + validated forecasting intent.

Show child attributes

columns · string[] · required

Real dataset column names (for answer chips).

covariate_suggestions · CovariateSuggestion · object[]

Proactive, runnable covariate suggestions for the described use-case — the chat offers them as accept/decline chips.

Show child attributes

profile · SeriesProfile · object | null

Aggregate dataset profile when target/time/entity columns were detected.

Show child attributes