curl --request GET \
  --url https://www.prometheus.services/api/v1/intelligence/graph \
  --header 'X-API-KEY: <api-key>'

import requests

url = "https://www.prometheus.services/api/v1/intelligence/graph"

headers = {"X-API-KEY": "<api-key>"}

response = requests.get(url, headers=headers)

print(response.text)

const options = {method: 'GET', headers: {'X-API-KEY': '<api-key>'}};

fetch('https://www.prometheus.services/api/v1/intelligence/graph', 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://www.prometheus.services/api/v1/intelligence/graph",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
  CURLOPT_HTTPHEADER => [
    "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"
	"net/http"
	"io"
)

func main() {

	url := "https://www.prometheus.services/api/v1/intelligence/graph"

	req, _ := http.NewRequest("GET", url, nil)

	req.Header.Add("X-API-KEY", "<api-key>")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.get("https://www.prometheus.services/api/v1/intelligence/graph")
  .header("X-API-KEY", "<api-key>")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://www.prometheus.services/api/v1/intelligence/graph")

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

request = Net::HTTP::Get.new(url)
request["X-API-KEY"] = '<api-key>'

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

{
  "nodes": [
    {
      "nodeId": "nar-297",
      "kind": "narrative",
      "label": "Tariff Uncertainty and Trade Policy Volatility",
      "description": "Import tariffs (IEEPA, Section 232/122) and trade-policy churn as a cost and planning shock.",
      "narrativeId": 297,
      "breadth": 1,
      "lifecycleState": "steady"
    },
    {
      "nodeId": "nar-174",
      "kind": "narrative",
      "label": "Surging AI Compute Demand: Training & Inference",
      "description": "Accelerating demand for AI training and inference capacity.",
      "narrativeId": 174,
      "breadth": 8,
      "lifecycleState": "fading"
    }
  ],
  "edges": [
    {
      "edgeId": "e-tariff-input",
      "causeNodeId": "nar-297",
      "effectNodeId": "fac-input-costs",
      "direction": "increasing",
      "supportCount": 61,
      "breadthIssuers": 34,
      "firstObserved": "2025-04-15",
      "lastObserved": "2026-06-30",
      "source": "claimed",
      "state": "validated",
      "claimedLagHint": "immediate to one quarter",
      "evidenceObservationIds": [
        334306,
        235478
      ],
      "validations": [
        {
          "method": "event_study",
          "eventWindow": "[-5, +40] trading days",
          "effectLabel": "+112 bps COGS growth vs sector",
          "effectSize": 112,
          "effectUnit": "bps",
          "lagDays": 45,
          "nEvents": 41,
          "pValue": 0.0021,
          "qValue": 0.008,
          "verdict": "supported",
          "testedAt": "2026-06-28",
          "scope": "import-exposed issuers, S&P 100",
          "note": "Market- and sector-adjusted; FDR-controlled across the edge set."
        }
      ]
    },
    {
      "edgeId": "e-input-margin",
      "causeNodeId": "fac-input-costs",
      "effectNodeId": "fac-gross-margin",
      "direction": "decreasing",
      "supportCount": 48,
      "breadthIssuers": 27,
      "firstObserved": "2025-04-28",
      "lastObserved": "2026-06-30",
      "source": "claimed",
      "state": "validated",
      "claimedLagHint": "one to two quarters",
      "evidenceObservationIds": [
        429228,
        334306
      ],
      "validations": [
        {
          "method": "event_study",
          "eventWindow": "next 2 fiscal quarters",
          "effectLabel": "−178 bps gross margin",
          "effectSize": -178,
          "effectUnit": "bps",
          "lagDays": 182,
          "nEvents": 34,
          "pValue": 0.0034,
          "qValue": 0.012,
          "verdict": "supported",
          "testedAt": "2026-06-28",
          "scope": "import-heavy consumer & retail",
          "note": "Effect concentrated in import-heavy retailers; ~2 quarters after cost claims."
        },
        {
          "method": "guidance_recon",
          "eventWindow": "guided vs realized, next quarter",
          "effectLabel": "guided margin hit realized 0.86×",
          "effectSize": 0.86,
          "effectUnit": "ratio",
          "lagDays": 91,
          "nEvents": 21,
          "pValue": 0.011,
          "qValue": 0.031,
          "verdict": "supported",
          "testedAt": "2026-06-21",
          "scope": "issuers guiding tariff-related margin impact",
          "note": "Management slightly over-guides the hit on average (0.86× realized)."
        }
      ]
    }
  ],
  "focusNodeId": null,
  "asOf": "2026-07-29",
  "coverageNote": "Narrative nodes, breadth and all evidence quotes are live registry data. Factor nodes, edge aggregat…"
}

{
  "error": "<string>",
  "code": "unauthenticated"
}

{
  "error": "<string>",
  "code": "unauthenticated"
}

{
  "error": "<string>",
  "code": "unauthenticated"
}

{
  "error": "<string>",
  "code": "unauthenticated"
}