Vextorium Text Similarity

x402

Vextorium Text Similarity is a paid API for AI agents from api.vextorium.com, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-28).

Computes multi-metric text similarity between two strings, returning TF-IDF cosine, Jaccard scores, common words, and a similarity verdict

Price / call$0.003

Seller volume →—

Success—

StatusUnknown

How this service works

244 pay-per-call data APIs for AI agents: official statistics and economy (ECB, Fed, Eurostat, World Bank, SEC, BOE, INE), crypto prices and sentiment, Spanish public data, compliance (sanctions, VAT, IBAN, LEI), science, weather, web and developer tools and local AI text tools. Pay in USDC via x402.

Output

Returns a JSON object with: a text verdict (e.g. 'similar' or 'distintos'), an array of the most common shared words, TF-IDF cosine similarity score (0–1), count of words in common, characters Jaccard similarity (0–1), and vocabulary Jaccard similarity (0–1).

Example use cases

Duplicate content detection pipeline

“Check if these two product descriptions are basically the same thing: 'Wireless noise-cancelling headphones with 30-hour battery life and premium sound' vs 'Premium over-ear headphones featuring noise cancellation and 30 hours of playback' — give me the similarity scores and verdict.”

Plagiarism check on student essays

“I need to know how similar these two essay excerpts are — text A is 'The industrial revolution transformed society by shifting labor from farms to factories' and text B is 'Society was transformed during the industrial revolution as workers moved from agricultural to factory labor'. Show me the TF-IDF cosine, Jaccard, and whether they're flagged as similar.”

Search query relevance scoring

“Score the similarity between the search query 'best Italian restaurants in New York' and this document snippet 'Top-rated Italian dining spots across Manhattan and Brooklyn' — I want the cosine similarity, vocabulary Jaccard, and the verdict.”

Technical details

Endpoint

POSThttps://api.vextorium.com/v1/text-similarity?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need multi-dimensional text similarity covering lexical overlap (Jaccard) and semantic frequency weighting (TF-IDF cosine) together in a single call, without standing up your own NLP infrastructure. It is especially useful for lightweight duplicate detection, content matching, or relevance scoring tasks where you need a fast, pay-per-call solution without managing embeddings or vector databases.

Side effects

Missing text_a or text_b fields returns a validation error
Empty strings may produce zero-score outputs with a dissimilar verdict
Very long texts may degrade performance or hit payload limits
Non-UTF-8 or malformed input may cause parsing errors

Input

Schema · Request body

Field	Type	Description
text_a	string
text_b	string

Output

Schema · Response

{
  "type": "json",
  "example": {
    "verdict": "distintos",
    "most_common": [
      "pay",
      "per"
    ],
    "tfidf_cosine": 0.2316,
    "words_in_common": 3,
    "characters_jaccard": 0.2609,
    "vocabulary_jaccard": 0.3
  }
}

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