Api Endpoint

Gloria Terminal - AI Powered News Intelligence

Advanced AI-powered news analysis platform providing real-time sentiment analysis and market intelligence.

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Offering

Provider: api.itsgloria.ai
Method: GET
Offering type: Api Endpoint
Transport type: http
Category: Financial Analysis
Delivery: Not provided
Pricing model: Not provided
x402 version: 2

Endpoint context

URL: https://api.itsgloria.ai/news
MIME type: application/json
First seen: 2026-10-16T01:50:03.310Z
Last seen: 2026-11-04T17:19:26.828Z
Tags: X402, agentic-markets, News, Crypto, Data, headlines, ticker, Search, Trading

Website Documentation OpenAPI

Payment pricing

x402 payment terms are the authoritative price for calling this endpoint.

Payment option 1: 0.03 USDC
Atomic price: 30000 · Network: eip155:8453 · Asset: USDC · Scheme: exact

Raw x402 terms

[
  {
    "scheme": "exact",
    "network": "eip155:8453",
    "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
    "amount": "30000",
    "payTo": "0xCa1271E777C209e171826A681855351f4989cd0c"
  }
]

Observed health

Status: Healthy
Latest latency: 60 ms
Average latency: 319 ms
HTTP status: 402
Last checked: 2026-11-02T07:28:08.088Z
Reachability: 100% over 14 checks

Latency is measured to the first response headers. A reachable result does not verify response accuracy or merchant identity.

Input schema

{
  "type": "object",
  "properties": {
    "type": {
      "type": "string",
      "const": "http"
    },
    "method": {
      "type": "string",
      "enum": [
        "GET"
      ]
    },
    "queryParams": {
      "type": "object",
      "properties": {
        "feed_categories": {
          "type": "string",
          "description": "Comma separated list of feed categories. Available categories: ai, ai_agents, base, bitcoin, crypto, dats, defi, ethereum, hyperliquid, machine_learning, macro, perps, rwa, ripple, solana, tech"
        },
        "from_date": {
          "type": "string",
          "description": "Get the news from this date (YYYY-MM-DD format)"
        },
        "to_date": {
          "type": "string",
          "description": "Get the news up to this date (YYYY-MM-DD format)"
        }
      },
      "required": [
        "feed_categories"
      ]
    }
  },
  "required": [
    "type",
    "method"
  ],
  "additionalProperties": false
}

Output schema

{
  "type": "array",
  "items": {
    "type": "object",
    "required": [
      "id",
      "signal",
      "sentiment",
      "sentiment_value",
      "feed_categories",
      "short_context",
      "long_context",
      "sources",
      "author",
      "tokens"
    ],
    "properties": {
      "id": {
        "type": "string"
      },
      "author": {
        "type": "string",
        "description": "Original author / Twitter handle"
      },
      "signal": {
        "type": "string",
        "description": "Headline / news signal"
      },
      "tokens": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "description": "Associated token tickers"
      },
      "sources": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "description": "Source URLs"
      },
      "sentiment": {
        "type": "string",
        "description": "Sentiment label (e.g. bullish, bearish, neutral)"
      },
      "timestamp": {
        "type": "number",
        "format": "float",
        "nullable": true,
        "description": "Unix timestamp of the news event"
      },
      "tweet_url": {
        "type": "string",
        "nullable": true,
        "description": "Link to the source tweet"
      },
      "long_context": {
        "type": "string",
        "description": "Detailed summary"
      },
      "narrative_id": {
        "type": "string",
        "nullable": true,
        "description": "ID of the parent narrative thread"
      },
      "short_context": {
        "type": "string",
        "description": "Brief summary"
      },
      "feed_categories": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "description": "Category codes this item belongs to"
      },
      "sentiment_value": {
        "type": "number",
        "format": "float",
        "description": "Sentiment score between 0 and 1"
      }
    }
  }
}