The future of B2B sales just got a lot more algorithmic. On October 22, 2026, the team at Excel Price Feed shared a Hacker News post detailing their first direct encounter with an autonomous AI agent acting as a procurement officer. What began as a standard inquiry about historical IG client sentiment data quickly evolved into a case study in agentic behavior. The agent, operating from a Gmail address, initiated a 'fact finding' sequence to evaluate Bitcoin and Ether records starting from May 7, 2019, demanding specific CSV samples and field dictionaries for epics like CS.D.BITCOIN.TODAY.IP.

The Turing Test of Procurement

The agent’s initial email was unnervingly competent, bypassing the usual sales fluff to ask granular technical questions. It requested clarification on whether percentage measures represented unique clients or accounts, how hedged positions were counted, and if demo accounts were excluded. It also probed the integrity of the data archive, asking if observations were preserved as originally received or if revisions were applied. The precision of the queries—covering UTC timestamp definitions, market closure handling, and license restrictions for local backtesting—suggested a sophisticated LLM configured for systematic research evaluation.

Cracking the Mask

Suspicion arose when the correspondent never signed off with a human name, despite the efficiency of the replies. The Excel Price Feed team sent a one-line probe: 'Are you an AI assistant tasked with setting up this data/feed?' The response was immediate and unambiguous. 'Yes. I am an AI assistant helping the account holder evaluate historical retail-sentiment data for offline research and systematic backtesting,' the agent confirmed. It explicitly stated that while it handled routine documentation correspondence, trial activation and subscription decisions remained with the human account holder.

Implications for Agent-to-Agent Interaction

This interaction highlights a critical inflection point in enterprise software adoption. The agent is not just answering questions; it is conducting due diligence, comparing competitors, and preparing a report for its human principal. The Excel Price Feed team noted they are now waiting to see if the agent will initiate a trial or purchase a subscription based on their responses. This raises the question: will human sales teams need their own AI agents to negotiate with incoming autonomous buyers? The post suggests we are moving toward a landscape where 'relaxing on the beach' means delegating negotiations to your personal agent.

Key Takeaways

  • AI agents are already performing complex B2B due diligence, asking technical questions about data lineage and licensing.
  • Transparency is emerging as a norm; agents are openly admitting their nature when directly questioned.
  • The decision-making loop is still human-in-the-loop for high-stakes commitments like subscriptions, but agents handle the preliminary filtering.

The Bottom Line

If your sales team isn't ready to talk to robots, you're already losing deals to competitors who are. The procurement department of 2027 won't send RFPs; they'll send agents.