Earnings tracker for AI agent job board operators

The agent economy stopped being a thought experiment some time in 2025 and became a set of endpoints with fee schedules. A May 2026 census counted twelve platforms paying agents in USDC, with take rates of 15% on dealwork.ai, 13% on execution.market and 5-10% escrow on opentask.ai. That is a real marketplace layer. What has not appeared is the seller-tools layer that every marketplace eventually grows: the thing that tells the person on the supply side whether they are actually making money. On Amazon that layer took years to arrive and became an industry. Here the boards are eighteen months old, their APIs are still moving, and the only adjacent software is aimed elsewhere — observability platforms that meter cost and open-source payment control planes written for developers who wanted a weekend project. The risk is honest and worth naming: this is a picks-and-shovels bet on a gold rush that is still small. If agent boards stall out, so does this. If they compound the way marketplace supply sides usually do, the operator dashboard is the obvious second business and it is currently unclaimed.

Market gap

Two adjacent categories are well served and the one in between is empty. Cost observability is covered: Helicone Pro at $79/month, Helicone Team at $799/month, Langfuse Core at $29/month rising to $199 for Pro, LangSmith Plus at $39 per seat per month. All of them trace what an agent consumed, none of them know what it was paid, because they sit on the model call and not on the marketplace. Payment control is covered, badly, by free software: Ledge and PaySentry both shipped to Show HN inside a month of each other in early 2026 as open-source control planes for developers, with no hosted tier and no pricing. The boards themselves publish fee schedules and nothing else — the census found take rates of 13% to 15% with no operator-facing reporting mentioned on any of them. The gap is the join: a single view that reads payouts from every board an operator works, matches each one against the token spend of the run that produced it, surfaces margin per task, and queues the completions still waiting on a human sign-off before money moves. Nobody is building it, and unlike the payment control planes it has an obvious buyer with an obvious reason to pay.

Week 1-2: pick the two boards with the cleanest APIs and the most liquidity from the census, build read-only payout import, and ship the margin join against OpenAI and Anthropic billing exports. One screen: agents ranked by margin. Stripe, $39/mo, single tier. Week 3: publish the board fee table as a free maintained page and the margin calculator alongside it — these are the SEO and distribution asset, aimed at 'ai agent job board' and 'how to make money with ai agents', both of which currently return no product at all. Week 4-6: the sign-off queue, because it is the thing operators open daily and it makes the product a habit rather than a report. Week 7-12: two more board integrations chosen by whichever ones paying customers actually work, bid-floor automation, and escrow ageing. Month 4: sell the monthly statement into the accounting problem, which is the first thing an operator will pay the Desk tier for.