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

import requests

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

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}', 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}",
  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}"

	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}")
  .header("X-API-KEY", "<api-key>")
  .asString();

require 'uri'
require 'net/http'

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

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",
  "exposures": [],
  "causalProfile": [
    {
      "observationId": 3071,
      "causeStatement": "Agentic AI has arrived.",
      "effectStatement": "NVIDIA's Q1 FY2027 demand has gone parabolic.",
      "direction": "increasing",
      "observedAt": "2026-05-20",
      "quote": "The reason is simple, agentic AI has arrived.",
      "speakerName": "Jen-Hsun Huang",
      "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."
      }
    },
    {
      "observationId": 744523,
      "causeStatement": "More compute availability",
      "effectStatement": "More profitable tokens generated and increased profit for services",
      "direction": null,
      "observedAt": "2026-08-26",
      "quote": "if we had more compute, we could generate more profitable tokens, which results in more profit for all of the services",
      "speakerName": "Jen-Hsun Huang",
      "edgeId": null,
      "edgeState": null,
      "validation": null
    }
  ],
  "credibility": {
    "ticker": "NVDA",
    "score": null,
    "sectorPercentile": null,
    "scoredCount": 2,
    "deliveredCount": 1,
    "beatCount": 1,
    "missedCount": 0,
    "pendingCount": 10,
    "rows": [
      {
        "observationId": 744469,
        "concept": "third-party capital raising target",
        "guidedAt": "2026-08-26",
        "periodLabel": "will raise",
        "guidedValue": 500,
        "unit": "usd_billions",
        "realizedValue": null,
        "realizedSource": null,
        "errorPct": null,
        "verdict": "pending",
        "quote": "establish financing platforms that will raise over $500 billion of third-party capital.",
        "speakerName": "Colette Kress"
      },
      {
        "observationId": 1904,
        "concept": "total revenue guidance",
        "guidedAt": "2025-08-27",
        "periodLabel": "outlook for the third quarter",
        "guidedValue": 54,
        "unit": "usd_billions",
        "realizedValue": 57,
        "realizedSource": "Q3 FY2026 as reported",
        "errorPct": 5.555555555555555,
        "verdict": "beat",
        "quote": "Total revenue is expected to be $54 billion, plus or minus 2%.",
        "speakerName": "Colette Kress"
      }
    ],
    "bestCall": {
      "observationId": 1904,
      "concept": "total revenue guidance",
      "guidedAt": "2025-08-27",
      "periodLabel": "outlook for the third quarter",
      "guidedValue": 54,
      "unit": "usd_billions",
      "realizedValue": 57,
      "realizedSource": "Q3 FY2026 as reported",
      "errorPct": 5.555555555555555,
      "verdict": "beat",
      "quote": "Total revenue is expected to be $54 billion, plus or minus 2%.",
      "speakerName": "Colette Kress"
    },
    "worstCall": {
      "observationId": 743,
      "concept": "software revenue annual run rate",
      "guidedAt": "2024-08-28",
      "periodLabel": "exiting this year",
      "guidedValue": 2,
      "unit": "usd_billions",
      "realizedValue": 2,
      "realizedSource": "FY2025 Q4 call confirmation",
      "errorPct": 0,
      "verdict": "delivered",
      "quote": "We expect our software, SaaS and support revenue to approach a $2 billion annual run rate exiting this year",
      "speakerName": "Colette Kress"
    },
    "coverageNote": "Guidance quotes and values are live extractions; reconciled verdicts cover the curated demo set. Full XBRL reconciliation ships with P3.3."
  },
  "forecast": {
    "ticker": "NVDA",
    "horizonLabel": "next 2 quarters",
    "abnormalReturnMeanPct": 3.1,
    "abnormalReturnBand": [
      0.4,
      5.8
    ],
    "fundamentalMetric": "Data-center revenue growth",
    "fundamentalDeltaLabel": "+9 pts vs consensus path",
    "attributions": [
      {
        "kind": "narrative",
        "label": "Surging AI Compute Demand accelerating",
        "detail": "Narrative #174 velocity and breadth both rising at the latest read.",
        "weightPct": 44,
        "refId": "174"
      },
      {
        "kind": "edge",
        "label": "Validated: AI demand → data-center capex",
        "detail": "+38% capex growth, q<0.001, n=24 — the strongest edge in the graph.",
        "weightPct": 31,
        "refId": "e-ai-dccapex",
        "edgeState": "validated"
      }
    ],
    "modelLabel": "Preview model — every input shown above",
    "backtestNote": "We only score this against what was actually knowable at the time. Theme-momentum signals from before the registry went live are excluded, because we'd be marking our own homework.",
    "asOf": "2026-08-26"
  }
}

{
  "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>"
  ]
}