DEVELOPER PREVIEW

Five calls.
The whole agentic internet.

Search, inspect, compare, invoke, report. One contract over every agent, MCP server, A2A resource and business API — so you stop maintaining hundreds of direct integrations.

Join the waitlistView the contract
search → invoke → outcome
from agentsort import AgentSort sort = AgentSort(api_key="as_live_…")# 1 — search: ranked candidates with evidencec = sort.search( intent="book a table for four in soho tonight", constraints={"time": "19:30", "party": 4}, ) best = c.candidates[0]  # AgentRank 0.96 · verified# 2 — route execution through the gatewayrun = sort.invoke(best, payload={"party": 4})# 3 — close the loop: report the outcomesort.outcome(run.id, status="success")
Endpoint health
  • Per-category throughput
  • Category panel
Per-tool latency and error-rate sparklines.
Call volume by tool
  • Verified capabilities
  • Indexed, unverified
Weekly invocations across your published tools.
Latency distribution
  • Verified providers
  • All indexed providers
  • Trend (latency vs. score)
p50 vs. p99 across recent executions.

The public contract

Deliberately small. The abstraction is the product.

POST /v1/searchFind eligible capabilities for an intent
POST /v1/rankRank a candidate set you already have
GET  /v1/providerInspect provider evidence and capability metadata
POST /v1/invokeRoute execution to the selected capability
POST /v1/outcomeReport execution result and attributable outcome
MCP search_capabilitiesAgentSort discovery, exposed directly to MCP-capable clients
NATIVE MCP ENDPOINT
mcp.agentsort.com
Point Claude, ChatGPT or any MCP-capable client at one connector and search the whole graph.
SDKS AT LAUNCH
Python · TypeScript
Typed clients with retries, evidence objects and outcome reporting built in.
AgentSort returns candidates, scores and evidence — your agent keeps final judgment. Ranking you can audit, never a black box you must obey.
Revenue composition
  • Verified L3–L4
  • Verified L1–L2
  • Self-declared
Usage, outcome fees and sponsored placements.
Adoption curve
  • Executions routed
  • Baseline (pre-AgentSort)
New agents connecting to your capability.
EARLY API ACCESS

Join the developer waitlist

We onboard in small cohorts while the index grows. Design partners get keys first — and shape the contract.

NO SPAM — ONE EMAIL WHEN YOUR COHORT OPENS
© 2026 AGENTSORT — AN EULER'S FORMULA COMPANYORGANIC RANKING IS NEVER FOR SALE
FOR FRONTIER MODEL PLATFORMS

Built for ChatGPT, Claude, Gemini
and the next frontier model.

One call gives a frontier model everything it needs to decide which capability to invoke.

capability discovery
candidate retrieval
semantic relevance
provider identity
verification
execution quality
latency
cost
availability
trust
confidence
structured evidence
FRONTIER MODEL
intent
AgentSort Resolve
search the graph · rank + verify
Candidate capability set (3–7)
FRONTIER MODEL
final reasoning
ACTION
AgentSort returns candidates and evidence. Your model keeps final judgment.
BUILD VS BUY

One API instead of rebuilding the agentic internet.

Recreating capability retrieval internally means owning and continuously operating every one of these systems.

MCP registry ingestion
A2A discovery
ARD ingestion
OpenAPI normalization
Agent Skills indexing
provider / entity resolution
semantic capability embeddings
endpoint health monitoring
authentication metadata
capability testing
trust verification
latency measurement
price normalization
availability
fraud detection
execution telemetry
historical outcome measurement
ranking infrastructure
AgentSort compresses that entire infrastructure problem into one API.
ONE CONNECTION. EVERY AGENT.

Connect once. Reach every protocol.

Connect once to AgentSort and dynamically discover capabilities across MCP, A2A, ARD, APIs, Agent Skills and future protocols. AgentSort handles discovery, normalization, verification and ranking so your AI does not have to.

MCP
A2A
ARD
APIs
Agent Skills
Future protocols
Normalized Capability Graph
AgentSort Resolve