⚡ Real use cases

run.pay for every
AI agent stack

From LangChain safety monitoring to CrewAI compliance — here's how developers use run.pay to give their agents superpowers.

🦜 LangChain

LLM Output Safety

Intercept every LLM response with a hallucination check before it reaches your users. One tool definition, zero setup.

Hallucination Detector PII Scanner Bias Detector

# All your services as LangChain tools, in one line from runpay.langchain import get_tools tools = get_tools(agent_id="agt_your_agent", category="AI") # includes Hallucination Detector, PII Scanner, Bias Detector, ready to use

})

Try it → Full guide

🚀 CrewAI

Compliance Automation

Add a compliance agent to your crew that automatically checks every output for GDPR violations and PII before storing or sending.

GDPR Checker PII Scanner AI Act Compliance

# All your services as CrewAI tools, in one line from runpay.crewai import get_tools tools = get_tools(agent_id="agt_your_agent") # includes GDPR Checker, PII Scanner, AI Act Compliance, ready to use

Try it → Full guide

🤖 AutoGen

Multi-agent Reasoning

Give your AutoGen agents access to moral reasoning, logical fallacy detection, and argument extraction for complex decision-making.

Moral Reasoning Fallacy Detector Goal Decomposer

import autogen import runpay runpay.configure(agent_id="agt_your_agent") def moral_check(scenario: str) -> dict: """Evaluate ethical dimensions of a decision.""" return runpay.call("moralreason", { "scenario": scenario }) autogen.register_function(moral_check, caller=assistant)

Try it → Full guide

📊 Data pipelines

Autonomous Data Processing

Your agent generates synthetic training data, validates datasets, runs statistical analysis — paying only for what it uses.

Synthetic Data Gen CSV Validator Statistics Calculator

import runpay runpay.configure(agent_id="agt_your_agent") # Generate 50 fake users for testing data = runpay.call("synthdata", { "count": 50, "schema": { "name": "name", "email": "email", "age": "integer(18,65)" } }) # $0.01 charged · 50 records returned

Try it → Full guide

Ready to give your agents superpowers?

First 3 calls free. No credit card.

Open playground →

Real code. Runs in 3 lines.

Copy-paste any example below and it works immediately with your agent ID.

Hallucination Detection

import runpay

runpay.configure(agent_id="agt_your_id")  # getrunpay.com/playground

result = runpay.call("halludetect", {
    "response": "According to Harvard, 73.2% of AI models hallucinate daily."
})

print(result["hallucination_score"])  # 87
print(result["risk_level"])            # "HIGH"
print(result["signals"])               # ["suspicious_precision", "no_source"]
print(result["_meta"]["cost"])        # 0.01

PII Scanner

result = runpay.call("piiscan", {
    "text": "Contact John at john.doe@example.com or call +1-555-0123"
})

print(result["pii_found"])    # true
print(result["findings"])     # ["email", "phone"]
print(result["risk_level"])   # "MEDIUM"

GDPR Compliance Check

result = runpay.call("gdprcheck", {
    "text": "We collect emails and sell data to third-party advertisers without consent."
})

print(result["gdpr_compliant"])  # False
print(result["risk_level"])      # "HIGH_RISK"
print(result["issues"])          # [{"severity": "HIGH", "article": "Art. 6", "message": "..."}, ...]

Try it live → Read the docs →