← Agent Data Hub · Search endpoints · /llms.txt
Computes exact Levenshtein edit distance, normalized similarity %, and token Jaccard index between two strings for entity matching and deduplication.
GET https://api.agentdatahub.de/api/v1/call/ai-tool-string-similarity-levenshtein?a=Germany+Inflation+Rate&b=Germny+Inflaton+Rates&compact=1
Full metadata: without compact=1 · Markdown: format=llm · Only some fields: add &fields=a,b.c · MCP: tool call_api with {"apiId":"ai-tool-string-similarity-levenshtein"}
a | First string |
b | Second string |
{
"apiId": "ai-tool-string-similarity-levenshtein",
"data_freshness": "live",
"data": {
"tool": "ai-tool-string-similarity-levenshtein",
"string_a": "germany inflation rate",
"string_b": "germny inflaton rates",
"levenshtein_edit_distance": 3,
"normalized_similarity_pct": 86.36
},
"source": "100% Platform-Native Deterministic AI Core Utility (<1ms)",
"license": "100% Platform-Owned Deterministic Algorithm (Commercial Use Allowed)"
}
| Source | 100% Platform-Native Deterministic AI Core Utility (<1ms) |
| License | 100% Platform-Owned Deterministic Algorithm (Commercial Use Allowed) |
| Source URL | https://api-hub.internal/ai-core-tools/ai-tool-string-similarity-levenshtein |
| Terms | https://opensource.org/licenses/MIT |
| Category | Developer, Tech & Web › AI Core Daily Tools |