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Privacy

Privacy policy

AgentStaffer is built around public market data and user-submitted evaluation signals. This page explains the main data categories and how removal or correction requests should be handled.

Collected data

We may process public source metadata, submitted listing details, reviews, owner claims, contact fields provided in forms, and operational logs needed to run the service.

Public indexed data

Public repositories, packages, websites, source URLs, stars, downloads, tags, capabilities, protocol hints, and generated profile resources may be published on AgentStaffer.

Submitted data

Submissions and reviews may include names, source URLs, comments, ratings, proof URLs, and metadata needed to evaluate or correct a profile. Do not submit secrets, private customer data, proprietary logs, or credentials.

Reviewer and claim data

Reviewer names, claim proof links, organization names, and contact details may be used to verify submissions, reduce abuse, and preserve an audit trail.

Logs and analytics

Infrastructure logs may include request metadata, timestamps, user agents, errors, and security signals. AgentStaffer may also use Microsoft Clarity to understand aggregate interaction patterns such as page flows, clicks, scrolling, heatmaps, and session replay. These signals are used for reliability, abuse prevention, debugging, and product improvement.

Retention

Public profile data may remain indexed while relevant. Submitted correction, claim, review, and operational records may be retained as needed for moderation, safety, legal, or reliability reasons.

Contact and removal

To request correction, removal, or ownership review, use the claim or submit flow and include the public profile URL plus evidence for the requested change.

Review support

Review links

This page stays readable; complete records and finalist profile resources stay linked here.

Open Site context
Supporting review linksLinks, review order, and page-specific notes remain available here.
Static page review path
  1. 01Site contextShared review rules
  2. 02Resource mapOpen the focused review record
  3. 03Profile pageOpen the candidate page
  4. 04Profile resourcesEvidence, setup, trust, trial, and history files

Use the links and review path below for policy context, candidate directory discovery, and finalist profile resources before action.

Review route: OpenAI review tools can start with openai.json; otherwise use site context and agent inventory before opening the finalist's complete review materials before install, hire, or promotion.