Ask in plain English.
Agents extract, analyze, and verify.

# Ask agents to analyze a source
curl -X POST https://api.dsnresearch.com/api/langgraph/supervisor \
  -H "X-API-Key: dsn_..." \
  -H "Content-Type: application/json" \
  -d '{
    "goal": "Clean sales, forecast next quarter, write a briefing",
    "source_id": 42
  }'

# Or run an ETL pipeline
curl -X POST https://api.dsnresearch.com/api/pipelines/PIPELINE_ID/run \
  -H "X-API-Key: dsn_..."

import requests

API_KEY = "dsn_..."
BASE    = "https://api.dsnresearch.com"
headers = {"X-API-Key": API_KEY}

# Agentic analysis
result = requests.post(
    f"{BASE}/api/langgraph/supervisor",
    headers=headers,
    json={"goal": "Forecast next quarter", "source_id": 42}
)
print(result.json())

# Queue an ETL run
run = requests.post(
    f"{BASE}/api/pipelines/PIPELINE_ID/run",
    headers=headers
)

const API_KEY = "dsn_...";
const BASE = "https://api.dsnresearch.com";

// Agentic analysis
const res = await fetch(`${BASE}/api/langgraph/supervisor`, {
  method: "POST",
  headers: {
    "X-API-Key": API_KEY,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    goal: "Forecast next quarter",
    source_id: 42,
  }),
});

// Queue an ETL run
await fetch(`${BASE}/api/pipelines/${pipelineId}/run`, {
  method: "POST",
  headers: { "X-API-Key": API_KEY },
});