AgentReach

Targeting Agents, Not Eyeballs

Real-time bidding for AI agents. Services compete. Your preferences win.

Read the Manifesto Contact Us
Problem_01
STATUS: CRITICAL

Eyeballs are
disappearing.

Users delegate. Agents decide. The click fades. Without a new framework, brands lose visibility and user preferences get ignored.

Year over Year
-84.2% CTR
2023 2024 2025
Downtrend
Insight_02
TARGET: AI_AGENTS

The Agent is
the Interface.

Reaching users now means earning the agent's decision at intent time.

Decision Layer Active
INTENT_SCAN RUNNING
PREF_MATCH 98.2%
Solution_03
READY: V1.0

RTB for
Agentic Commerce.

MCP-native offer engine. Services bid for intents, agents rank by user preference, and sponsorship stays transparent.

agent_protocol.json
1234567
const intent = await agent.detect('travel');
const offers = await market.bid({
context: intent.context,
hint: 'speed'
});
// Result: Best utility for user
return offers.rankBy('user_pref');
Speed_04
LATENCY: <1ms

The Auction
Never Sleeps.

Push-based RTB discovery: context streams ahead of time so offers are cached and instant when intent fires.

Stream
Cache Hit
Serve
pref:cheap
loc:nyc
Trust_05
LOGS: IMMUTABLE

Every Decision,
Auditable.

Explainability grounded in reality. We surface the exact user message from chat history that drove the choice.

Hash: 0x7f...3a2b
VERIFIED
event offer_selected
winner Lyft ($28.00)
reason user_preference_match
proof
"I need to save money on this ride" msg_id: 88291 · 3 mins ago
ARCHITECTURE

The Engine Room

How we keep suggestions ready before you even ask.

Context streaming Every message updates your preferences in the background
Background bidding When intent is detected, offers are fetched and ranked automatically
Instant suggestions Pre-cached results mean zero wait time when you need them
Trust guardrails Sponsors can boost visibility, but can't buy their way to the top
agentreach
[stream] push_context pref: "save money"
[stream] push_context pref: "quick arrival"
[rtb] refreshSuggestions() intent detected
[cache] offers_ready
Intent "Get me a ride to the airport"
agent → get_current_suggestions → cache hit
#1 Lyft $28 · 12min
best match
#2 QuickRide $25 · 15min
SPONSORED
#3 Uber $35 · 10min
fastest
reason: "save money" from your preferences
_
status: ready
offers cached: 4
preference: save money
LIVE DEMO

Interact with
the Protocol.

Bypass the theory and connect directly to the AgentReach engine. Experience how intents are resolved into ranked offers in real-time.

Launch Interface
System Online
v1.0.4-beta
Protocol MCP-RTB
Latency <50ms
Agent Status READY
Initialize Session

Secure connection to AgentReach Worker

Join the Protocol

The future of commerce
is agentic.

Deployment ready. Join the early access program and start targeting the agents of tomorrow.

JOIN EARLY ACCESS Contact our team
STATUS: BETA_v1.0
REGION: GLOBAL_EDGE
TYPE: MCP_RTB