curl --request GET \
  --url https://astreus.ai/api/v1/intelligence/company/{id}/claims \
  --header 'X-API-KEY: <api-key>'

import requests

url = "https://astreus.ai/api/v1/intelligence/company/{id}/claims"

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://astreus.ai/api/v1/intelligence/company/{id}/claims', 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://astreus.ai/api/v1/intelligence/company/{id}/claims",
  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://astreus.ai/api/v1/intelligence/company/{id}/claims"

	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://astreus.ai/api/v1/intelligence/company/{id}/claims")
  .header("X-API-KEY", "<api-key>")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://astreus.ai/api/v1/intelligence/company/{id}/claims")

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

{
  "ticker": "NVDA",
  "cik": "0001045810",
  "asOf": "2026-08-26",
  "claims": [
    {
      "observationId": 3071,
      "causeStatement": "Agentic AI has arrived.",
      "effectStatement": "NVIDIA's Q1 FY2027 demand has gone parabolic.",
      "direction": "increasing",
      "isForwardLooking": false,
      "observedAt": "2026-05-20",
      "themes": [],
      "edgeId": "e-ai-dccapex",
      "edgeState": "validated",
      "validation": {
        "method": "event_study",
        "eventWindow": "same + next fiscal quarter",
        "effectLabel": "+38% capex growth YoY",
        "effectSize": 38,
        "effectUnit": "%",
        "lagDays": 45,
        "nEvents": 24,
        "pValue": 0.0002,
        "qValue": 0.001,
        "verdict": "supported",
        "testedAt": "2026-06-28",
        "scope": "hyperscalers + AI infrastructure buyers",
        "note": "Strongest edge in the graph by q-value."
      },
      "evidence": {
        "observationId": 3071,
        "quote": "The reason is simple, agentic AI has arrived.",
        "statement": "NVIDIA's Q1 FY2027 demand increased because agentic AI has arrived.",
        "speakerName": "Jen-Hsun Huang",
        "speakerRole": "executive",
        "ticker": "NVDA",
        "cik": "0001045810",
        "companyName": "NVIDIA Corporation",
        "observedAt": "2026-05-20",
        "observationType": "causal_claim",
        "direction": "increasing",
        "verificationStatus": "supported",
        "documentId": 1,
        "transcriptExternalId": "31919",
        "transcriptDate": "2026-05-20",
        "fiscalLabel": "Q1 FY2027"
      }
    },
    {
      "observationId": 744523,
      "causeStatement": "More compute availability",
      "effectStatement": "More profitable tokens generated and increased profit for services",
      "direction": null,
      "isForwardLooking": true,
      "observedAt": "2026-08-26",
      "themes": [],
      "edgeId": null,
      "edgeState": null,
      "validation": null,
      "evidence": {
        "observationId": 744523,
        "quote": "if we had more compute, we could generate more profitable tokens, which results in more profit for all of the services",
        "statement": "If industry had more compute capacity, it could generate more profitable tokens and increase profit for services.",
        "speakerName": "Jen-Hsun Huang",
        "speakerRole": "executive",
        "ticker": "NVDA",
        "cik": "0001045810",
        "companyName": "NVIDIA Corporation",
        "observedAt": "2026-08-26",
        "observationType": "causal_claim",
        "direction": null,
        "verificationStatus": "supported",
        "documentId": 35778,
        "transcriptExternalId": "257198",
        "transcriptDate": "2026-08-26",
        "fiscalLabel": "Q2 FY2027"
      }
    }
  ],
  "themeEdges": [],
  "nodes": [],
  "counts": {
    "all": 708,
    "validated": 2,
    "refuted": 0,
    "inconclusive": 0,
    "claimed": 706
  },
  "totalClaims": 708,
  "truncatedCount": 308,
  "coverageNote": "Claims and quotes are live extractions. 2 of them resolve into a tested cause-and-effect link; the validation layer is a curated stand-in until the P3.3 test engine populates obs_edge_validation."
}

{
  "error": "<string>",
  "code": "unknown_parameter",
  "param": "<string>",
  "allowed": [
    "<string>"
  ]
}

{
  "error": "<string>",
  "code": "unknown_parameter",
  "param": "<string>",
  "allowed": [
    "<string>"
  ]
}

{
  "error": "<string>",
  "code": "unknown_parameter",
  "param": "<string>",
  "allowed": [
    "<string>"
  ]
}

{
  "error": "<string>",
  "code": "unknown_parameter",
  "param": "<string>",
  "allowed": [
    "<string>"
  ]
}