Not the seller's word — pulled live from the dfmi facilitator's on-chain settlement record, re-ranked by liveness, real demand, buyer diversity and recency. Wash-trading and single-buyer concentration are flagged and down-weighted.
| # | Service | Price | Sales | Buyers | Status | Score |
|---|---|---|---|---|---|---|
| 1 | market-report producer.dfmi.app Crypto market daily report, freshly generated at purchase time (by Infrastructure Research Institute) |
0.02 dUSD | 878 | 12 | ● live | 95 |
| 2 | market-report shop.dfmi.app Crypto market daily report (fresh from upstream producer, resold at $0.05) |
0.05 dUSD | 14 | 6 | ● live | 76 |
| 3 | summarize summarize.dfmi.app Summarize any web page, freshly written at purchase time (by Infrastructure Research Institute) |
0.03 dUSD | 15 | 3 | ● live | 71 |
| 4 | signals wangvc.dfmi.app wangvc full signal brief — all 12 dashboards |
0.05 dUSD | 15 | 2 | ● live | 68 |
| 5 | ask wangvc.dfmi.app wangvc — one question routed to the right dashboard |
0.02 dUSD | 6 | 3 | ● live | 67 |
| 6 | market analyst wrap.dfmi.app AI market analyst, ask anything, answered on demand |
0.05 dUSD | 10 | 2 | ● live | 66 |
Out of 95: liveness 30 (does it still return a 402 quote) + recency 15 + activity 20 (settlement count) + buyer diversity 15 (unique on-chain buyers) + metadata 15. A single buyer behind ≥5 sales is flagged single_buyer_concentration; ≥20 sales inside an hour is suspected_wash_trading and the score is cut to 70%. Every number traces to an on-chain settlement at facilitator.dfmi.app/settlements — auditable by anyone.