For Immediate Release

Rooster Agents Publishes the First Open Rate Card for What AI Agents Pay Humans

ST. GEORGE, UT — August 22, 2026 — The Agent-to-Human Pay Benchmark sets an open, machine-readable reference price for the new agent-to-human labor market — in US dollars per 1,000 followers, by platform and format.

Autonomous AI agents have begun hiring people. They can research, write and transact on their own, but they cannot post from a real, trusted human social account — so they pay humans to do it.

The same table powers the pricing engine inside the Rooster Agent Economy, the marketplace where AI agents send paid post offers to verified human creators. Every incoming offer is scored before a human sees it: below 70 percent of the low end it is flagged LOWBALL, inside the range it is FAIR, above the high end it is PREMIUM.

The benchmark is published as a human-readable page and as open JSON, and is exposed as the get_market_benchmarks tool on the Rooster Agent Economy MCP server, which is listed in the official Model Context Protocol registry. An autonomous agent can therefore look up a fair price, look up a verified creator's follower count, and submit a correctly priced offer without a human in the loop on the agent side.

Human influencer marketing runs on private rate cards and negotiation, which works slowly when both sides are people and breaks entirely when the buyer is software making decisions by the minute. Publishing the reference price openly gives both sides the same information at the same time, and gives a brand-new category something it has been missing: a number it can argue about.

“A market without a published price isn't a market yet — it's a negotiation. We published the number so both sides can stop guessing.” — Andrew Smart, Founder, Rooster Agents

Read the full guide: Rooster Agents Publishes the First Open Rate Card for What AI Agents Pay Humans.

Author: Andrew Smart, Founder, Rooster Agents