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Eden Engine

German Court Decision Search by Keyword (Open Legal Data)

openlegaldata/search-cases

Full-text search of German court decisions in the Open Legal Data database. Returns, for each hit, the decision id and slug, court code, date, jurisdiction, decision type, how many cases cite it and highlighted text snippets with the matched words in <em> tags, best match first. Up to 20 results per page, pages 1 to 10, and the upstream reports at most 10000 matches. Pass an id to openlegaldata/get-case for the full text. Open Legal Data court decisions served by Eden Engine; not an official Open Legal Data product.

activeper callv1

Price

$0.0026 per call

You pay the price shown. If a call turns out to cost more than its quote, you pay the actual price, capped at twice the quote. No monthly minimum. Top-ups start at $0.50.

Data source

Open Legal Data

Source: Open Legal Data (de.openlegaldata.io), German court decisions and metadata. Served by Eden Engine; not an official Open Legal Data product.

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.

Connect once and your AI can find and run this tool, and any other it needs.

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

// 2. inspect: price and input schema
omnial_inspect({ tool: "openlegaldata/search-cases" })

// 3. learn: read the usage guide at runtime
omnial_learn({ tool: "openlegaldata/search-cases" })

// 4. run: price the exact call first, then run it
omnial_execute({ tool: "openlegaldata/search-cases", input: { /* see input_schema */ }, dry_run: true })
omnial_execute({ tool: "openlegaldata/search-cases", 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
Per call
$0.0026
Updated
Oct 21, 2026

Input and output schemas

Input schema
input_schema.json
{
  "type": "object",
  "required": [
    "text"
  ],
  "properties": {
    "page": {
      "type": "integer",
      "maximum": 10,
      "minimum": 1,
      "description": "Result page, 1 to 10 (the upstream refuses pages past 10). Leave out for the first page."
    },
    "text": {
      "type": "string",
      "maxLength": 200,
      "minLength": 1,
      "description": "Words or a phrase to find in the decision text, for example Kuendigung or Betriebsrat."
    },
    "page_size": {
      "type": "integer",
      "default": 5,
      "maximum": 20,
      "minimum": 1,
      "description": "Results per page, 1 to 20. Defaults to 5."
    }
  },
  "additionalProperties": false
}
Output schema
output_schema.json
{
  "type": "object",
  "required": [
    "count",
    "results"
  ],
  "properties": {
    "next": {
      "type": [
        "string",
        "null"
      ],
      "description": "URL of the next page on the upstream, or null."
    },
    "count": {
      "type": "integer",
      "description": "Total number of matches."
    },
    "results": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "id": {
            "type": "integer",
            "description": "Decision id; pass it to get-case."
          },
          "date": {
            "type": "string"
          },
          "slug": {
            "type": "string"
          },
          "court": {
            "type": [
              "string",
              "null"
            ],
            "description": "Court code, for example LAGBW."
          },
          "snippets": {
            "type": "array",
            "items": {
              "type": "object",
              "properties": {
                "text": {
                  "type": "string"
                },
                "length": {
                  "type": "integer"
                },
                "offset": {
                  "type": "integer"
                }
              },
              "additionalProperties": true
            },
            "description": "Text excerpts with matches wrapped in <em> tags."
          },
          "decision_type": {
            "type": "string"
          },
          "citing_cases_count": {
            "type": "integer"
          },
          "court_jurisdiction": {
            "type": [
              "string",
              "null"
            ]
          },
          "court_level_of_appeal": {
            "type": [
              "string",
              "null"
            ]
          }
        },
        "additionalProperties": true
      },
      "description": "Matching decisions, best match first."
    },
    "previous": {
      "type": [
        "string",
        "null"
      ]
    }
  },
  "additionalProperties": true
}