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Agent Tool Risk Audit

Pricing

from $43.00 / 1,000 apify actor run or buyer defined paid events

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Agent Tool Risk Audit

Agent Tool Risk Audit

Audit an agent tool scope and return an evidence-backed deliverable with findings, recommended actions, and completion metadata.

Pricing

from $43.00 / 1,000 apify actor run or buyer defined paid events

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Developer

Zentra

Zentra

Maintained by Community

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1

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4 days ago

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Audit an agent tool scope and return an evidence-backed deliverable with findings, recommended actions, and completion metadata.

What this Actor does

  • Runs the exact agent-tool-risk-audit contract against only the inputs and sources documented below.
  • Emits records that are validated against the bundled dataset schema before they are written.
  • Keeps source references and stable record identifiers in the output when those fields are declared.
  • Provides a bounded sample path for Store inspection; the sample path does not emit a paid event.

Inputs

  • buyerQuery: Buyer-safe query or scope for the records returned by this product.
  • taskIntent: Stable product-specific purpose for this saved Apify task.
  • sourceMode: Sample emits public-safe Agentops Deliverable Status rows. Approved live source mode keeps the same output fields and only uses owner-approved public URLs.
  • outputMode: Use sample records for Apify Store QA or buyer-ready records for approved Agentops Deliverable Status delivery.
  • startUrls: Public URLs to use for live Agentops Deliverable Status extraction after source-policy approval. Leave empty for sample mode.
  • maxItems: Caps the number of Agentops Deliverable Status rows written to the dataset.

Sources and access boundary

  • User-supplied or configured inputs declared by the Actor input schema; this package does not claim an undeclared external source.

Only public or user-authorized inputs may be processed. The Actor does not bypass authentication, paywalls, CAPTCHAs, access controls, or source terms.

Output

The default dataset exposes these Actor-relevant fields:

  • deliverableName: Service deliverable name.
  • scopeSummary: Fixed-scope service summary.
  • evidenceItems: Public-safe evidence item labels.
  • recommendedActions: Recommended service next actions.
  • completedAt: Example completion timestamp.

The output link exposed by .actor/OUTPUT_SCHEMA.json points to the default dataset: {{links.apiDefaultDatasetUrl}}/items.

Sample run

{
"buyerQuery": "Deterministic fixture Deliverable Name for Agent Tool Risk Audit",
"taskIntent": "buyer-ready-product-run",
"sourceMode": "sample",
"outputMode": "sample-records",
"startUrls": [],
"maxItems": 1
}

Example fields from the bundled deterministic sample:

{
"deliverableName": "Agent Tool Risk Audit sample",
"scopeSummary": "Sample scope summary for Agent Tool Risk Audit.",
"evidenceItems": [
"Sample evidence item for Agent Tool Risk Audit"
],
"recommendedActions": [
"Sample recommended action for Agent Tool Risk Audit."
],
"completedAt": "2026-01-15T09:00:00Z"
}

Sample values are labeled as sample data and are not claims about a live source result.

Pricing and cost control

This source package preserves the Actor's current Apify pay-per-event configuration. The authenticated current event definitions are:

  • risk-finding: Charge when Agent Tool Risk Audit produces Apify actor run or buyer-defined paid event.
  • dataset-processed: Base charge when Agent Tool Risk Audit writes a non-empty default dataset.
  • record-saved: Charge for each buyer-visible result saved by Agent Tool Risk Audit.
  • enriched-record: Charge when Agent Tool Risk Audit adds match scoring, source evidence, or enrichment to a saved result.

The per-result source event is record-saved. Production output uses Apify's charged dataset push path and checks the returned charge limit before continuing. Sample, demo, test, and quality-validation paths do not emit a paid event. Start production runs with a small maxItems and an Apify run spending limit.

Reliability and limitations

  • Live results depend on the supplied source availability and the fields the source actually returns.
  • Missing values remain missing, null, or warning-backed according to the schema; they are not invented.
  • A live run that cannot produce a schema-valid result fails instead of publishing a generic substitute.
  • Output is decision-support data and does not replace legal, financial, medical, safety, procurement, or compliance review.

Existing public Actor identity

This package updates that exact existing public Actor in place. It does not create, clone, upsert, duplicate, draft, privatize, or change pricing or visibility.