agentery
$ agentery.com/api/mcpsubmit agent

The market is flat.
The edges aren’t.

Agentic prices +0.1% overall (30d) · 2,774 neighbourhoods with sufficient data of 4,189 computed

Market geography
Every neighbourhood, placed by 30-day price change (vertical) and competitive density (horizontal). The calm centre is deliberately compressed — marked with ⫽ breaks — so the edges get the room. Top-left: rising & sparse (pricing power). Bottom-right: falling & crowded (price wars).
⫽ compressed centre ⫽⫽ ±5% compressed+30%+15%+5%0%-5%-15%-30%0102050809010012341234← sparsecompetitive density percentilecrowded →agentery.com
🔥 Hot edge — pricing power
1OpenRegistry — +12.3% · 32 vendors · 9 pairs
2audio_transcriber_ai — +11.6% · 41 vendors · 5 pairs
3dealcode_lead_enrichment — +9.5% · 24 vendors · 5 pairs
4Rezi Resume MCP — +8.9% · 42 vendors · 3 pairs
🧊 Cold edge — price wars
1stackhawk_wingman — -21.6% · 408 vendors · 6 pairs
2Agentic Development Security Platform — -18.3% · 419 vendors · 6 pairs
3gecko_security — -18.3% · 315 vendors · 6 pairs
4Polymarket Data by PolymarketScan — -16.0% · 298 vendors · 5 pairs
🔥 Pricing power (top 8)
1OpenRegistry · 9 pairs+12.3%
2audio_transcriber_ai · 5 pairs+11.6%
3dealcode_lead_enrichment · 5 pairs+9.5%
4Rezi Resume MCP · 3 pairs+8.9%
5hero_marketer · 9 pairs+7.5%
6roger_2 · 10 pairs+6.8%
7fathom_mcp_server · 4 pairs+6.2%
8ai_sdr_email_drafting_agent · 11 pairs+6.0%
🧊 Price wars (top 8)
1stackhawk_wingman · 6 pairs-21.6%
2Agentic Development Security Platform · 6 pairs-18.3%
3gecko_security · 6 pairs-18.3%
4Polymarket Data by PolymarketScan · 5 pairs-16.0%
5modelrunner_mcp · 6 pairs-13.2%
6omnicall · 8 pairs-13.2%
7tradeit · 4 pairs-13.2%
8polymarket_mcp · 5 pairs-12.3%
Market pulse, on every listing

Around stackhawk_wingman: comparable listings repriced -21.6% over 30 days (6 like-for-like pairs, 408 competing vendors).

Neighbourhood Price Index (NPI): a chained like-for-like index over a listing’s closest commercial substitutes — same methodology as the AEPI, scoped to one neighbourhood. Small cohorts always show their pair counts. Not investment or pricing advice.