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Eden Engine

Company News Articles (by Website and Date Range)

omnial/company-news-articles-by-website

Returns news articles that mention one company, given its website, published between two dates: each article's title, link, publisher, publish time, AI-written summary, sentiment label and score, newsworthiness score, article type, breaking, opinion and press-release flags, language, word count, the companies it mentions, its industry, topic, IPTC, IAB and SIC labels, and the people, places and events it mentions (lowercase terms, often roles, not names), plus the total match count.

activeper resultv1

Price

Up to $0.00683 base + $0.000683 per result; you pay what the call used

The price shown is the price you pay. No monthly minimum. Top-ups start at $5.

Data source

Akta

Data from Akta.

Use it

Five steps: search, inspect, learn, run, settle. No per-tool setup; your agent reaches this tool through the meta-tools it already has.

agent
// 1. search: find the tool
omnial_search({ query: "what you need" })

// 2. inspect: price and input schema
omnial_inspect({ tool: "omnial/company-news-articles-by-website" })

// 3. learn: read the usage guide at runtime
omnial_learn({ tool: "omnial/company-news-articles-by-website" })

// 4. run: price the exact call first, then run it
omnial_execute({ tool: "omnial/company-news-articles-by-website", input: { /* see input_schema */ }, dry_run: true })
omnial_execute({ tool: "omnial/company-news-articles-by-website", input: { /* ... */ } })

// 5. settle: the call is charged when it finishes, nothing to do

Not connected yet? Point your MCP client at https://mcp.eden-engine.com/mcp, then copy a config for your client.

Pricing

Every charge this tool can incur.

ChargePrice
Base price
Charged once per request
$0.00683
Per result
Charged for every result returned
$0.000683
Updated
Oct 14, 2026

Input and output schemas

Input schema
input_schema.json
{
  "type": "object",
  "required": [
    "company",
    "start_date",
    "end_date"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "default": 10,
      "maximum": 10,
      "minimum": 1,
      "description": "The most articles to return, from 1 to 10 (default 10)."
    },
    "company": {
      "type": "string",
      "minLength": 1,
      "description": "The company's website as a full URL starting with https:// (a bare company name is not accepted)."
    },
    "end_date": {
      "type": "string",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "description": "The latest publish date to include, formatted as YYYY-MM-DD."
    },
    "start_date": {
      "type": "string",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "description": "The earliest publish date to include, formatted as YYYY-MM-DD."
    }
  },
  "additionalProperties": false
}
Output schema
output_schema.json
{
  "type": "object",
  "properties": {
    "data": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "id": {
            "type": "number",
            "description": "The article's ID."
          },
          "url": {
            "type": "string",
            "description": "The link to the article."
          },
          "tags": {
            "type": "array",
            "items": {
              "type": "object",
              "properties": {
                "code": {
                  "type": "string"
                },
                "name": {
                  "type": "string"
                },
                "is_primary": {
                  "type": "boolean"
                }
              }
            },
            "description": "News-type tags."
          },
          "title": {
            "type": "string",
            "description": "The headline."
          },
          "entities": {
            "type": "object",
            "properties": {
              "event": {
                "type": "array",
                "items": {
                  "type": "string"
                }
              },
              "person": {
                "type": "array",
                "items": {
                  "type": "string"
                }
              },
              "location": {
                "type": "array",
                "items": {
                  "type": "string"
                }
              }
            },
            "description": "Named entities found in the article."
          },
          "group_id": {
            "type": "number",
            "description": "The ID of the group of similar stories."
          },
          "countries": {
            "type": "array",
            "items": {
              "type": "string"
            },
            "description": "Country codes of the event."
          },
          "publisher": {
            "type": "string",
            "description": "The publisher's name."
          },
          "sentiment": {
            "type": "string",
            "description": "The sentiment label."
          },
          "sic_codes": {
            "type": "array",
            "items": {
              "type": "object",
              "properties": {
                "code": {
                  "type": "string"
                },
                "name": {
                  "type": "string"
                }
              }
            }
          },
          "ai_summary": {
            "type": "string",
            "description": "An AI-written summary."
          },
          "industries": {
            "type": "array",
            "items": {
              "type": "object",
              "properties": {
                "code": {
                  "type": "string"
                },
                "name": {
                  "type": "string"
                },
                "is_primary": {
                  "type": "boolean"
                }
              }
            }
          },
          "iptc_codes": {
            "type": "array",
            "items": {
              "type": "object",
              "properties": {
                "code": {
                  "type": "string"
                },
                "name": {
                  "type": "string"
                }
              }
            }
          },
          "is_opinion": {
            "type": "boolean"
          },
          "word_count": {
            "type": "number",
            "description": "The article's length in words."
          },
          "is_breaking": {
            "type": "boolean"
          },
          "article_type": {
            "type": "object",
            "properties": {
              "code": {
                "type": "string"
              },
              "label": {
                "type": "string"
              }
            }
          },
          "iab_categories": {
            "type": "array",
            "items": {
              "type": "object",
              "properties": {
                "code": {
                  "type": "string"
                },
                "name": {
                  "type": "string"
                }
              }
            }
          },
          "published_date": {
            "type": "string",
            "description": "When it was published (date and time)."
          },
          "sentiment_score": {
            "type": "number",
            "description": "The sentiment score."
          },
          "company_mentions": {
            "type": "array",
            "items": {
              "type": "object",
              "properties": {
                "name": {
                  "type": "string"
                },
                "uuid": {
                  "type": "string"
                },
                "website": {
                  "type": "string"
                },
                "is_primary": {
                  "type": "boolean"
                }
              }
            },
            "description": "The companies the article mentions."
          },
          "is_press_release": {
            "type": "boolean"
          },
          "original_language": {
            "type": "string",
            "description": "The article's language code."
          },
          "newsworthiness_score": {
            "type": "number",
            "description": "The newsworthiness score."
          }
        }
      },
      "description": "The articles, one per item."
    },
    "count": {
      "type": "number",
      "description": "How many articles this response holds."
    },
    "limit": {
      "type": "number",
      "description": "The most articles asked for."
    },
    "total": {
      "type": "number",
      "description": "How many articles match in all."
    },
    "offset": {
      "type": "number",
      "description": "How many matches were skipped (always 0)."
    }
  },
  "description": "The matching articles."
}