text_similarity
Document similarity and near-duplicate detection: compare two texts (a, b) or cluster up to 200 texts. Metrics: TF-IDF cosine on stemmed content words, word Jaccard, k-word shingle Jaccard and containment, 64-bit SimHash with Hamming distance, and character edit ratio for short texts, plus a verd...
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What text_similarity does on ScorpTech x402 API
AI agents use text_similarity to create or update resources in ScorpTech x402 API, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your ScorpTech x402 API environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
a | string | — | First text |
b | string | — | Second text |
texts | array | — | Batch mode: texts to compare pairwise and cluster |
minScore | number | — | Batch: only report pairs with cosine >= this |
threshold | number | — | Shingle Jaccard needed to call two texts duplicates (batch clusters) |
shingleSize | integer | — | Words per shingle |
Parameters from the server's own tool schema.
Why text_similarity is rated Medium
An AI agent can call text_similarity faster than any human can review: one bad instruction and it creates or modifies resources in ScorpTech x402 API by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs text_similarity safely
PolicyLayer is an MCP gateway: it sits between your AI agents and ScorpTech x402 API, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For text_similarity, this is the rule to start with:
text_similarity stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect ScorpTech x402 API, apply this rule, and every text_similarity call is checked against it from then on.
Questions about text_similarity
Document similarity and near-duplicate detection: compare two texts (a, b) or cluster up to 200 texts. Metrics: TF-IDF cosine on stemmed content words, word Jaccard, k-word shingle Jaccard and containment, 64-bit SimHash with Hamming distance, and character edit ratio for short texts, plus a verdict (identical / near-duplicate / similar / related / different). Batch mode returns the most similar pairs and duplicate clusters. Offline, deterministic. Price: $0.002 USDC per successful call (x402, Solana). Same tool over HTTPS: POST https://scorptech.it.com/api/x402/v1/text-similarity. It is categorised as a Write tool in the ScorpTech x402 API MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
text_similarity accepts 6 parameters: a, b, texts, minScore, threshold, shingleSize. The full parameter table on this page comes from the server's own tool schema.
Register the ScorpTech x402 API MCP server in PolicyLayer and add a rule for text_similarity: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches ScorpTech x402 API. Nothing to install.
text_similarity is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the text_similarity rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for text_similarity. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
text_similarity is provided by the ScorpTech x402 API MCP server (https://scorptech.it.com/api/x402/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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