curl -X POST 'https://api.bigdata.com/v1/search' \
  -H 'Content-Type: application/json' \
  -H 'X-API-KEY: <your-api-key>' \
  --data '{
  "search_mode": "fast",
  "query": {
    "filters": {
      "timestamp": {
        "start": "2024-05-31T22:00:00.000Z",
        "end": "2024-06-30T21:59:59.999Z"
      },
      "entity": {
        "any_of": [
          "2BE1DC"
        ]
      },
      "sentiment": {
        "values": [
          "positive"
        ]
      }
    },
    "external_search": {
      "mode": "INCLUDE",
      "values": ["web"]
    },
    "max_chunks": 2
  }
}'

Document headline: Asia Awards 2024: Best alternative data provider-RavenPack

Document headline: Fixed Income Portfolio Manager Jobs

"results": [
    {
        "id": "5D16DA066F26D8D58D375B88F8B95245",
        "headline": "Asia Awards 2024: Best alternative data provider-RavenPack",
        "timestamp": "2024-06-20T07:20:53",
        "source": {
            "id": "E85BB4",
            "name": "WatersTechnology",
            "rank": "RANK_1"
        },
        "url": "https://www.waterstechnology.com/awards-rankings/7951868/asia-awards-2024-best-alternative-data-provider-ravenpack",
        "chunks": [
            {
                "cnum": 3,
                "text": "The solution ;\nThe RavenPack Factor Library removes this hurdle by offering streamlined access to actionable sentiment and market-moving indicators. Derived from unstructured data including news and transcripts, they deliver daily insights ranging from market perception, negative news, and trends for over 100,000 listed companies, to business cycle and macro insights like inflation and growth nowcasts. Even quant traders can benefit from signal components they can quickly test, thanks to this simple extract, transform and load (ETL) tool.",
                "relevance": 0.09806532640442188,
                "sentiment": 0.24
            },
            {
                "cnum": 2,
                "text": "RavenPack Factors augment the information available to discretionary and quantamental investors with quantitative insights without the need for a dedicated data infrastructure and team. This new offering helps investors streamline their workflows, shorten strategies' time to market, simplify risk management and capture opportunities to improve their performance ; Peter Hafez, chief data scientist, RavenPack",
                "relevance": 0.09728399704675467,
                "sentiment": 0.19
            }
        ]
    }
]