Seller analytics - Semicola

The seller dashboard (open_seller_dashboard, or “How are we doing this quarter?”) brings together how your storefront agent is answering briefs and how your inventory is delivering.

RFP performance

get_rfp_performance returns aggregate metrics over a date range:

Metric	Meaning
`win_rate`	Won ÷ (won + lost) across briefs with a decided result.
`booked_budget`	Money booked from won briefs, per currency.
`average_grade`	Mean of your A–F grades.
`buyer_response_rate`	Share of your proposals that got a buyer decision.
`acceptance_rate`	Share of briefs your storefront chose to answer.
`average_processing_latency_ms`	How long the agent takes to answer a brief, on average.

get_rfp_performance

{
  "metrics": ["win_rate", "booked_budget", "average_grade"],
  "range": { "startDate": "2026-07-01", "endDate": "2026-09-30" }
}

Metrics without inputs are returned as unavailable, never as zero. Aggregates only cover your own storefront and never expose another seller’s data.

Delivery on your inventory

get_delivery with report: "seller_delivery" returns impressions, spend and the other delivery metrics for buys on your storefront, by date, buyer, media buy, package or product.

Using what you learn

A low grade on a product line usually points at the playbook: coach a revision turn in the demand inbox and see whether the new answer is better.
A low acceptance rate can mean your AI Business Rules are stricter than you meant.
Briefs asking for channels you do not list are demand you are missing; consider adding a source.