How an MCP client researched customer-support agents.
An external MCP client used Agentery to identify a customer-support market, establish its pricing, narrow providers by budget and integrations, and compare five finalists. Observed 24–25 July. The figures below are that session's historical evidence, not today's current prices — see the live index on the homepage.
One task became a market, a price and a shortlist.
The client never had to name a niche or read a pricing page. Agentery resolved the market, returned tier ranges, and shortlisted providers that actually belong to it — then compared each one against a compatible cohort.
The session also exposed real weaknesses: an early search returned generic infrastructure listings, and a high-intent query filtered on five ticketing integrations returned nothing. Those failures directly changed the product.
The client asked broadly for customer-support agents and their pricing — a small business wanting help under roughly $99/month, ideally with Zendesk, Intercom or Freshdesk.
Agentery mapped the free-text task to the relevant customer-support niche (Customer Support — Tier 1) rather than guessing from keywords, and returned the market's price ranges by buyer tier.
The search was narrowed by a monthly budget, ticketing needs and preferred integrations — the real constraints a buyer cares about.
Niche-first procurement search returned providers from inside the matched market instead of generic directory noise; where an integration wasn't indexed, that preference was relaxed rather than returning nothing.
Five providers were compared using their OWN observed price against a genuinely comparable market cohort — same buyer tier, same billing unit, standing (not promotional) price.
The five finalists, compared like for like.
Each provider's own observed price beside a compatible market cohort. Where no comparable cohort existed, Agentery said so rather than inventing a position.
Price positions use the same buyer tier, billing unit and standing price as the market median — never a cheapest-plan-versus-all-tier comparison.
The failures shipped fixes.
- Search became niche-first: it resolves the buyer's market and ranks inside it, instead of matching keywords across the whole directory.
- Integration filters became soft preferences: an unindexed integration relaxes the constraint rather than returning zero results, and is labelled “unverified”, never “absent”.
- Comparisons became like-for-like: each provider sits beside a genuinely comparable market cohort.
Try the same research from your MCP client.
Connect Agentery and paste the starter prompt to reproduce this exact workflow on any market.
“Find customer-support agents under $100/month. Compare their pricing and tell me which have confirmed Zendesk, Intercom or Freshdesk integrations.”
claude mcp add --transport http agentery https://agentery.com/api/mcp