AgentSort
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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.

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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-tool latency and error-rate sparklines.
Call volume by tool
Weekly invocations across your published tools.
Latency distribution
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
Usage, outcome fees and sponsored placements.
Adoption curve
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.

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