Rank candidate strings against an input with Jaro-Winkler, Levenshtein, token-se
Rank candidate strings against an input with Jaro-Winkler, Levenshtein, token-set and Soundex scores plus a verdict, for name matching and deduplication
Answeringour last check, 2026-10-20
1 of 1checks answered this week
322 msmedian answer time
$0.01listed price per call
$0.01price it asked us
Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.
Endpoint
GET https://saylorinnovations.com/api/text/fuzzy-match
| Category | Market data |
|---|---|
| Provider host | saylorinnovations.com |
| Networks | eip155:137, eip155:42161, eip155:8453, solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp |
| Payment schemes | exact |
| Self-reported calls, 30 days | 0 from 0 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-10-20 | valid payment request | 402 | $0.01 | 322 ms |
Example input (from the provider)
{
"method": "GET",
"queryParams": {
"a": "Jon Smyth",
"candidates": "John Smith|Jane Smith|Jonathan Smythe|Acme Corp"
},
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"properties": {
"a": {
"description": "String to match",
"type": "string"
},
"candidates": {
"description": "Up to 50 candidates separated by |",
"type": "string"
}
},
"required": [
"a",
"candidates"
],
"type": "object"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"properties": {
"best": {
"description": "Highest-scoring candidate with its component scores and verdict",
"properties": {
"candidate": {
"description": "Best matching candidate",
"type": [
"string",
"null"
]
},
"jaro_winkler": {
"description": "Jaro winkler",
"type": [
"number",
"null"
]
},
"levenshtein_distance": {
"description": "Levenshtein distance",
"type": [
"number",
"null"
]
},
"levenshtein_similarity": {
"description": "Levenshtein similarity",
"type": [
"number",
"null"
]
},
"same_soundex_first_word": {
"description": "Same soundex first word",
"type": [
"boolean",
"null"
]
},
"score": {
"description": "Score from 0 (worst) to 100 (best)",
"type": [
"number",
"null"
]
},
"token_set_similarity": {
"description": "Token set similarity",
"type": [
"number",
"null"
]
},
"verdict": {
"description": "Overall assessment derived from the listed reasons",
"type": [
"string",
"null"
]
}
},
"type": "object"
},
"input": {
"description": "String that was matched",
"type": "string"
},
"matches": {
"description": "Matching items",
"items": {
"properties": {
"candidate": {
"description": "Candidate string",
"type": [
"string",
"null"
]
},
"jaro_winkler": {
"description": "Jaro winkler"
},
"levenshtein_distance": {
"description": "Levenshtein distance"
},
"levenshtein_similarity": {
"description": "Levenshtein similarity"
},
"same_soundex_first_word": {
"description": "Same soundex first word"
},
"score": {
"description": "Score from 0 (worst) to 100 (best)"
},
"token_set_similarity": {
"description": "Token set similarity"
},
"verdict": {
"description": "Overall assessment derived from the listed reasons"
}
},
"type": "object"
},
"type": "array"
},
"normalized": {
"description": "Input after accent, case and punctuation folding",
"type": "string"
},
"note": {
"description": "Caveat or context for reading the result",
"type": "string"
},
"soundex": {
"description": "Soundex code of the first word of the input",
"type": "string"
},
"source": {
"description": "Data source the values come from",
"type": "string"
}
},
"required": [
"best",
"matches"
],
"type": "object"
},
"type": {
"const": "json",
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}