The agent successfully assembled a comprehensive explanation of Post Bridge by working around the main website's rate-limiting, relying instead on web search results and third-party review sites. The core task was satisfied—the agent explained what Post Bridge does, who it's for, pricing tiers, and how it differs from competitors—but with acknowledged gaps in precision (inconsistent pricing across sources, missing fine-grained feature breakdowns) that reflect the site's poor direct accessibility rather than a failure to investigate.

• ›The primary post-bridge.com domain and pricing page both returned 429 rate-limit errors; the agent could not directly access the authoritative source. All substantive content came from web search results pointing to third-party reviews, comparison sites, and the GitHub repository [steps 3, 4, 10, 11, 13, 14, 16].
• ›Search results (especially steps 13 and 14) returned article snippets and links describing features, pricing tiers, and positioning, but the agent had to synthesize across multiple secondary sources to build the picture. The support.post-bridge.com subdomain [step 7] was accessible but returned only a generic template page with no usable content.
• ›The agent cited 10 sources in its final response, only one of which (support.post-bridge.com) was a direct fetch; nine were web search results. This indicates Post Bridge does not publish its product explanation in a bot-ready, directly-fetchable form—the site relies on third-party coverage to be discovered by agents.
• ›Pricing inconsistencies (Starter tier quoted as both $7.50 and $9/month) and incomplete feature matrices highlight that the main site was not accessible to verify the ground truth. The agent transparently flagged this uncertainty in its response.
• ›The AI agent integration (MCP support for Claude, ChatGPT) emerged as a key differentiator and was well-documented in search results and on the /agents page URL, but the agent could not fetch that page directly due to rate limiting.