Iniciar proceso de contenido
curl --request POST \
--url https://api.athenahq.ai/api/v1/content/generate \
--header 'Content-Type: application/json' \
--header 'x-api-key: <api-key>' \
--data '
{
"website_id": "<string>",
"title": "<string>",
"url": "<string>",
"prompt_ids": [
"<string>"
],
"custom_instructions": "<string>",
"brand_kit_id": "<string>",
"sheet_id": "<string>",
"use_content_memories": true,
"auto_approve": true,
"content_format_type": "<string>",
"scrape_additional_links": true,
"selected_topic_ids": [
"<string>"
],
"pinned_claim_ids": [
"<string>"
],
"use_kb_internal_links": true,
"rec_id": "<string>",
"pdf_file_name_or_r2_key": "<string>"
}
'import requests
url = "https://api.athenahq.ai/api/v1/content/generate"
payload = {
"website_id": "<string>",
"title": "<string>",
"url": "<string>",
"prompt_ids": ["<string>"],
"custom_instructions": "<string>",
"brand_kit_id": "<string>",
"sheet_id": "<string>",
"use_content_memories": True,
"auto_approve": True,
"content_format_type": "<string>",
"scrape_additional_links": True,
"selected_topic_ids": ["<string>"],
"pinned_claim_ids": ["<string>"],
"use_kb_internal_links": True,
"rec_id": "<string>",
"pdf_file_name_or_r2_key": "<string>"
}
headers = {
"x-api-key": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'x-api-key': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
website_id: '<string>',
title: '<string>',
url: '<string>',
prompt_ids: ['<string>'],
custom_instructions: '<string>',
brand_kit_id: '<string>',
sheet_id: '<string>',
use_content_memories: true,
auto_approve: true,
content_format_type: '<string>',
scrape_additional_links: true,
selected_topic_ids: ['<string>'],
pinned_claim_ids: ['<string>'],
use_kb_internal_links: true,
rec_id: '<string>',
pdf_file_name_or_r2_key: '<string>'
})
};
fetch('https://api.athenahq.ai/api/v1/content/generate', 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://api.athenahq.ai/api/v1/content/generate",
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([
'website_id' => '<string>',
'title' => '<string>',
'url' => '<string>',
'prompt_ids' => [
'<string>'
],
'custom_instructions' => '<string>',
'brand_kit_id' => '<string>',
'sheet_id' => '<string>',
'use_content_memories' => true,
'auto_approve' => true,
'content_format_type' => '<string>',
'scrape_additional_links' => true,
'selected_topic_ids' => [
'<string>'
],
'pinned_claim_ids' => [
'<string>'
],
'use_kb_internal_links' => true,
'rec_id' => '<string>',
'pdf_file_name_or_r2_key' => '<string>'
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"x-api-key: <api-key>"
],
]);
$response = curl_exec($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://api.athenahq.ai/api/v1/content/generate"
payload := strings.NewReader("{\n \"website_id\": \"<string>\",\n \"title\": \"<string>\",\n \"url\": \"<string>\",\n \"prompt_ids\": [\n \"<string>\"\n ],\n \"custom_instructions\": \"<string>\",\n \"brand_kit_id\": \"<string>\",\n \"sheet_id\": \"<string>\",\n \"use_content_memories\": true,\n \"auto_approve\": true,\n \"content_format_type\": \"<string>\",\n \"scrape_additional_links\": true,\n \"selected_topic_ids\": [\n \"<string>\"\n ],\n \"pinned_claim_ids\": [\n \"<string>\"\n ],\n \"use_kb_internal_links\": true,\n \"rec_id\": \"<string>\",\n \"pdf_file_name_or_r2_key\": \"<string>\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("x-api-key", "<api-key>")
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://api.athenahq.ai/api/v1/content/generate")
.header("x-api-key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"website_id\": \"<string>\",\n \"title\": \"<string>\",\n \"url\": \"<string>\",\n \"prompt_ids\": [\n \"<string>\"\n ],\n \"custom_instructions\": \"<string>\",\n \"brand_kit_id\": \"<string>\",\n \"sheet_id\": \"<string>\",\n \"use_content_memories\": true,\n \"auto_approve\": true,\n \"content_format_type\": \"<string>\",\n \"scrape_additional_links\": true,\n \"selected_topic_ids\": [\n \"<string>\"\n ],\n \"pinned_claim_ids\": [\n \"<string>\"\n ],\n \"use_kb_internal_links\": true,\n \"rec_id\": \"<string>\",\n \"pdf_file_name_or_r2_key\": \"<string>\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.athenahq.ai/api/v1/content/generate")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["x-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"website_id\": \"<string>\",\n \"title\": \"<string>\",\n \"url\": \"<string>\",\n \"prompt_ids\": [\n \"<string>\"\n ],\n \"custom_instructions\": \"<string>\",\n \"brand_kit_id\": \"<string>\",\n \"sheet_id\": \"<string>\",\n \"use_content_memories\": true,\n \"auto_approve\": true,\n \"content_format_type\": \"<string>\",\n \"scrape_additional_links\": true,\n \"selected_topic_ids\": [\n \"<string>\"\n ],\n \"pinned_claim_ids\": [\n \"<string>\"\n ],\n \"use_kb_internal_links\": true,\n \"rec_id\": \"<string>\",\n \"pdf_file_name_or_r2_key\": \"<string>\"\n}"
response = http.request(request)
puts response.read_body{
"content_ids": [
"<string>"
],
"status": "generating",
"slice_titles": [
"<string>"
]
}{
"error": "<string>"
}{
"error": "<string>"
}{
"error": "<string>"
}{
"error": "<string>"
}{
"error": "<string>"
}{
"error": "<string>"
}{
"error": "<string>"
}Centro de contenido
Iniciar proceso de contenido
Genera un artículo o plan de contenido en AthenaHQ. Obtiene URL de origen, envía el material a proveedores externos de IA y consume créditos de contenido. Obtén la aprobación del usuario antes de llamar. No publica en un sitio ni CMS. En modo draft, auto_approve es true por defecto; usa false para generar solo el plan y esperar a approve_brief. Consulta GET /api/v1/content//status para cada valor de content_ids. El modo slice devuelve slice_titles y content_ids vacío; lista los elementos generados con GET /api/v1/content/items. Para guardar un artículo ya escrito sin generar ni consumir créditos, usa la herramienta MCP add_content.
POST
/
api
/
v1
/
content
/
generate
Iniciar proceso de contenido
curl --request POST \
--url https://api.athenahq.ai/api/v1/content/generate \
--header 'Content-Type: application/json' \
--header 'x-api-key: <api-key>' \
--data '
{
"website_id": "<string>",
"title": "<string>",
"url": "<string>",
"prompt_ids": [
"<string>"
],
"custom_instructions": "<string>",
"brand_kit_id": "<string>",
"sheet_id": "<string>",
"use_content_memories": true,
"auto_approve": true,
"content_format_type": "<string>",
"scrape_additional_links": true,
"selected_topic_ids": [
"<string>"
],
"pinned_claim_ids": [
"<string>"
],
"use_kb_internal_links": true,
"rec_id": "<string>",
"pdf_file_name_or_r2_key": "<string>"
}
'import requests
url = "https://api.athenahq.ai/api/v1/content/generate"
payload = {
"website_id": "<string>",
"title": "<string>",
"url": "<string>",
"prompt_ids": ["<string>"],
"custom_instructions": "<string>",
"brand_kit_id": "<string>",
"sheet_id": "<string>",
"use_content_memories": True,
"auto_approve": True,
"content_format_type": "<string>",
"scrape_additional_links": True,
"selected_topic_ids": ["<string>"],
"pinned_claim_ids": ["<string>"],
"use_kb_internal_links": True,
"rec_id": "<string>",
"pdf_file_name_or_r2_key": "<string>"
}
headers = {
"x-api-key": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'x-api-key': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
website_id: '<string>',
title: '<string>',
url: '<string>',
prompt_ids: ['<string>'],
custom_instructions: '<string>',
brand_kit_id: '<string>',
sheet_id: '<string>',
use_content_memories: true,
auto_approve: true,
content_format_type: '<string>',
scrape_additional_links: true,
selected_topic_ids: ['<string>'],
pinned_claim_ids: ['<string>'],
use_kb_internal_links: true,
rec_id: '<string>',
pdf_file_name_or_r2_key: '<string>'
})
};
fetch('https://api.athenahq.ai/api/v1/content/generate', 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://api.athenahq.ai/api/v1/content/generate",
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([
'website_id' => '<string>',
'title' => '<string>',
'url' => '<string>',
'prompt_ids' => [
'<string>'
],
'custom_instructions' => '<string>',
'brand_kit_id' => '<string>',
'sheet_id' => '<string>',
'use_content_memories' => true,
'auto_approve' => true,
'content_format_type' => '<string>',
'scrape_additional_links' => true,
'selected_topic_ids' => [
'<string>'
],
'pinned_claim_ids' => [
'<string>'
],
'use_kb_internal_links' => true,
'rec_id' => '<string>',
'pdf_file_name_or_r2_key' => '<string>'
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"x-api-key: <api-key>"
],
]);
$response = curl_exec($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://api.athenahq.ai/api/v1/content/generate"
payload := strings.NewReader("{\n \"website_id\": \"<string>\",\n \"title\": \"<string>\",\n \"url\": \"<string>\",\n \"prompt_ids\": [\n \"<string>\"\n ],\n \"custom_instructions\": \"<string>\",\n \"brand_kit_id\": \"<string>\",\n \"sheet_id\": \"<string>\",\n \"use_content_memories\": true,\n \"auto_approve\": true,\n \"content_format_type\": \"<string>\",\n \"scrape_additional_links\": true,\n \"selected_topic_ids\": [\n \"<string>\"\n ],\n \"pinned_claim_ids\": [\n \"<string>\"\n ],\n \"use_kb_internal_links\": true,\n \"rec_id\": \"<string>\",\n \"pdf_file_name_or_r2_key\": \"<string>\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("x-api-key", "<api-key>")
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://api.athenahq.ai/api/v1/content/generate")
.header("x-api-key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"website_id\": \"<string>\",\n \"title\": \"<string>\",\n \"url\": \"<string>\",\n \"prompt_ids\": [\n \"<string>\"\n ],\n \"custom_instructions\": \"<string>\",\n \"brand_kit_id\": \"<string>\",\n \"sheet_id\": \"<string>\",\n \"use_content_memories\": true,\n \"auto_approve\": true,\n \"content_format_type\": \"<string>\",\n \"scrape_additional_links\": true,\n \"selected_topic_ids\": [\n \"<string>\"\n ],\n \"pinned_claim_ids\": [\n \"<string>\"\n ],\n \"use_kb_internal_links\": true,\n \"rec_id\": \"<string>\",\n \"pdf_file_name_or_r2_key\": \"<string>\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.athenahq.ai/api/v1/content/generate")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["x-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"website_id\": \"<string>\",\n \"title\": \"<string>\",\n \"url\": \"<string>\",\n \"prompt_ids\": [\n \"<string>\"\n ],\n \"custom_instructions\": \"<string>\",\n \"brand_kit_id\": \"<string>\",\n \"sheet_id\": \"<string>\",\n \"use_content_memories\": true,\n \"auto_approve\": true,\n \"content_format_type\": \"<string>\",\n \"scrape_additional_links\": true,\n \"selected_topic_ids\": [\n \"<string>\"\n ],\n \"pinned_claim_ids\": [\n \"<string>\"\n ],\n \"use_kb_internal_links\": true,\n \"rec_id\": \"<string>\",\n \"pdf_file_name_or_r2_key\": \"<string>\"\n}"
response = http.request(request)
puts response.read_body{
"content_ids": [
"<string>"
],
"status": "generating",
"slice_titles": [
"<string>"
]
}{
"error": "<string>"
}{
"error": "<string>"
}{
"error": "<string>"
}{
"error": "<string>"
}{
"error": "<string>"
}{
"error": "<string>"
}{
"error": "<string>"
}Cuerpo
application/json
draft: genera un plan de contenido y, opcionalmente, un artículo a partir de consultas monitorizadas. snipe: redacta un artículo a partir de una URL competidora. optimize: mejora una página para búsquedas con IA. slice: convierte una URL en varios artículos.
Opciones disponibles:
draft, snipe, optimize, slice Título del artículo. Obligatorio en los modos draft, snipe y optimize.
URL de la página de origen. Obligatoria en los modos snipe, optimize y slice. Se admite una URL sin protocolo, como example.com/article.
UUID de consultas monitorizadas existentes, hasta 100. Obligatorio y no vacío para draft; omítelo para slice. Usa ID de la lista de consultas monitorizadas del sitio web; nunca los inventes.
Solo en modo draft. Por defecto, true: continúa desde la generación del plan de contenido hasta la del artículo. Usa false para detenerse en generated_brief hasta llamar a approve_brief.
Opciones disponibles:
auto, manual, none Selección revisada de datos de la vista previa. Cuando aparece (modo draft con la base de conocimientos habilitada), la generación utiliza exactamente estos pilares y datos conservados en vez de calcular una selección; pinned_claim_ids deja de influir. Nunca se usan afirmaciones sin pilar: los ID conservados que correspondan a ellas se descartan y se notifican en el resultado de selección de la ejecución.
Show child attributes
Show child attributes
Opciones disponibles:
on_page_topic, on_page_snipe ¿Esta página le ayudó?