Freshprobe FAQs

Question 1

How does Freshprobe determine if data is fresh or stale?

Accepted Answer

Freshprobe utilizes six distinct verification signals: HTTP cache headers, endpoint liveness, content fingerprinting (SHA-256 hashes), TLS certificate health, DNS resolution timing, and redirect chain analysis. It provides a deterministic JSON verdict (FRESH, STALE, or UNKNOWN).

Question 2

What deployment options are available for Freshprobe?

Accepted Answer

Freshprobe is a single Go binary that offers flexible deployment. It can run as a command-line interface (CLI), an MCP (Multi-Agent Communication Protocol) server for direct integration with AI agents (e.g., Claude, Cursor), or an HTTP API microservice.

Question 3

Can I define custom data freshness requirements?

Accepted Answer

Yes, Freshprobe supports 'freshness-as-code' through YAML policies. You can define specific thresholds for staleness, minimum freshness scores, maximum latency, TLS certificate validity, and content change requirements per domain.

Question 4

What is Freshprobe's primary purpose?

Accepted Answer

Freshprobe is designed to verify data freshness for AI agents, ensuring they always act on current and reliable information. This prevents costly errors and improves the accuracy and trustworthiness of AI-driven decisions.

Question 5

Why is data freshness so critical for AI agents?

Accepted Answer

Unlike typical software crashes, stale data in AI agents leads to confident, well-formatted, but catastrophically wrong responses. This can result in significant financial losses, operational inefficiencies, and project failures, as multi-agent pipelines might report 'green' while producing incorrect outputs.

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