Web-Ingestion Preflight Checks

Crawlers and AI data loaders turn web pages into durable search, RAG, extraction, and training data. A preflight gate gives those pipelines a consistent checkpoint before a URL crosses that boundary.

Where should the ingestion decision happen?

The useful control is a repeatable pause before fetch or storage: collect the available publisher signals, classify the ingestion purpose, and return a decision the pipeline can enforce.

Place the gate before fetch or storage

Run the policy check immediately before the crawler or data loader fetches the external URL. That keeps questionable content out of downstream stores and makes the enforcement point easy to test.

  • Normalize the target URL and classify the purpose as crawl, summarize, extract, or train.
  • Call AgentPermission before the crawler or data loader sends the external request.
  • Continue on allow, skip on deny, and route escalate decisions to the team that owns data policy.
  • Store the receipt ID and decision next to the ingestion job and source metadata.

What the decision records

The receipt is evidence that your pipeline checked the available machine-readable signals for the exact URL and ingestion purpose. It is not a universal legal conclusion or proof that the publisher owns every implicated right.

Ingestion preflight example
async function guardIngestion(url: string, purpose: "crawl" | "summarize" | "extract" | "train") {
  const response = await fetch("https://agent-permission-api-788656703262.us-central1.run.app/v1/check", {
    method: "POST",
    headers: {
      "Content-Type": "application/json",
      "Authorization": "Bearer YOUR_API_KEY"
    },
    body: JSON.stringify({ url, action: purpose })
  });

  const decision = await response.json();

  if (decision.decision === "deny") {
    throw new Error("Source blocked by publisher policy signals.");
  }

  if (decision.decision === "escalate") {
    return queueDataPolicyReview({ url, purpose, receipt: decision.receipt });
  }

  return decision.receipt;
}

Operational value for data teams

  • Publisher-signal handling becomes a reusable pipeline control instead of one-off crawler logic.
  • Data teams retain a record of what signals were checked before a URL entered a corpus.
  • Retrieval, extraction, and training can use different conservative defaults.