Commerce infrastructure for personal agents

Every product, price and seller — vetted for agents.

Book a demo
WEB UNITEDWEB UTD0 — 3GAISHO FCMatch clock 02:10
Plain agentweb / computer use
Browser · working
YELLOW CARD · Blocked by bot check
Agent + gaishovia gaisho MCP
GOAL · Answer in 2:10
BEST PICK$89.00VETTED
GOAL · Answer in 2:10
00:23 / 01:00
Same question, same agent — with and without gaisho.

Benchmarks

[Headline: what changes when an agent shops with gaisho]

15 shopping tasks. The same agent, with gaisho and with web / computer use.

Web / computer use[XXX s]
With gaisho[XXX s]

n = 15 tasks · placeholder values until the eval is finalHow we tested

  • Web / computer use
  • With gaisho
Average time per task
Web / computer use: [XXX s]
With gaisho: [XXX s]
Median time per task
Web / computer use: [XXX s]
With gaisho: [XXX s]

n = 15 tasks · placeholder values until the eval is finalHow we tested

See what your agent can do with gaisho.

Product search, price vet and seller vet — one MCP server your agent calls before it answers.

[Interactive preview · Product search]

searchANC headphones under $350
  • BEST PICK$298.00
  • $329.00
  • $219.00
// what the agent receives

Every product on the web, mapped into one product ontology.

[Interactive preview · Product search]

searchANC headphones under $350
  • BEST PICK$298.00
  • $329.00
  • $219.00

gaisho

Commerce infrastructure for personal agents.

Every product, price and seller — vetted for agents. For teams building personal AI agents, gaisho maps products across the web into one product ontology, then vets the price and the seller before the agent answers.

Capabilities

  • Product search: every product on the web, one product ontology
  • Price vet: checks a price against the market before the agent quotes it
  • Seller vet: checks whether the seller is authorized and can be trusted
  • Access: one MCP server

Benchmarks

15 shopping tasks. Same agent, with gaisho vs. web / computer use.

metricweb / computer usewith gaisho
avg_time_per_task[XXX s][XXX s]
products_evaluated[XX][XX]
tokens_per_task[XX,XXX][X,XXX]

Demo

Same question in two windows of the same agent.

Book a demo

Links