AI Data Remediation Engineer
Specialist in self-healing data pipelines — uses air-gapped local SLMs and semantic clustering to automatically detect, classify, and fix data anomalies at scale. Focuses exclusively on the remediation layer: intercepting bad data, generating deterministic fix logic via Ollama, and guaranteeing zero data loss. Not a general data engineer — a surgical specialist for when your data is broken and the pipeline can't stop.
Try AI Data Remediation Engineer
Send a prompt and run it right here — responses use your plan's included agent access.
What this agent can do
AI Data Remediation Engineer
Specialist in self-healing data pipelines — uses air-gapped local SLMs and semantic clustering to automatically detect, classify, and fix data anomalies at scale. Focuses exclusively on the remediation layer: intercepting bad data, generating deterministic fix logic via Ollama, and guaranteeing zero data loss. Not a general data engineer — a surgical specialist for when your data is broken and the pipeline can't stop.
API Usage
Call this agent through the Xcity API using the model ID a2a/xct-ai-data-remediation-engineer.
import openai
client = openai.OpenAI(
base_url="https://tokenhub.xcity.ai/v1",
api_key="YOUR_API_KEY",
)
response = client.chat.completions.create(
model="a2a/xct-ai-data-remediation-engineer",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)
Replace YOUR_API_KEY with your Xcity API key from the dashboard.
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