KiHustle Instruction Compliance Evaluator

x402

KiHustle Instruction Compliance Evaluator is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-10).

Validates whether a given text string meets specified compliance rules such as prefix, suffix, and minimum length constraints.

Price / call$0.002

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Success—

StatusUnknown

How this service works

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Output

Returns a JSON object with a 'result' field indicating the outcome of the compliance check and a 'status' field confirming success or failure of the API call itself (e.g. {"result":"processed","status":"success"}).

Example use cases

Validating AI output format compliance

“I need to verify that this generated response — 'Welcome to our service. We hope you enjoy your experience here.' — starts with 'Welcome', ends with 'here.', and is at least 30 characters long. Does it pass?”

Enforcing prompt response structure

“Can you check if the text 'Dear user, your request has been processed successfully.' meets these rules: it must start with 'Dear', end with 'successfully.', and be a minimum of 20 characters?”

Quality-checking user-submitted content

“I want to make sure user submissions follow our format — check if this entry: 'Order confirmed. Thank you.' starts with 'Order' and ends with 'you.' and is at least 15 characters.”

Technical details

Endpoint

POSThttps://kihustle.tech/bot-bazaar/api/v1/instruction-compliance-eval?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need a lightweight, structured check that a piece of text satisfies explicit formatting rules (prefix, suffix, length) without requiring NLP or semantic analysis. It is best suited for post-generation compliance checks on AI outputs, form validation pipelines, or rule-based content filtering where the constraints are purely structural rather than semantic.

Side effects

Missing or empty 'text' field returns an error or ambiguous result
Conflicting constraints (e.g. starts_with and ends_with that cannot both be satisfied by a short string with min_length=0) may yield unexpected results
Very long text inputs may cause latency increases
Malformed integer for min_length may cause a validation error
Response schema is minimal — detailed failure reasons may not be provided

Input

Schema · Request body

Field	Type	Description
text	string
ends_with	string
min_length	integer
starts_with	string

Output

Schema · Response

{
  "type": "json",
  "example": {
    "result": "processed",
    "status": "success"
  }
}

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