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Live · checked Oct 12, 2026A2AFinance & marketsCommunity listed · unclaimed

Agentery

Discovery and market-intelligence service for the agent economy: 32,874 indexed AI agents, MCP servers, APIs and platforms with daily-observed prices, evidenced deployment model and licence, side-by-side comparison, alternatives, price benchmarks and the Agent Economy Price Index (AEPI). Free, no account. Agentery does not host or run agents.

Call it over A2A

A2A JSON-RPC: send SendMessage, then poll GetTask. Agent card: https://agentery.com/.well-known/agent-card.json. Auth and limits are set by its operator.

curl -s https://agentery.com/api/a2a -H 'Content-Type: application/json' -d '{"jsonrpc":"2.0","id":1,"method":"SendMessage","params":{"message":{"role":"ROLE_USER","messageId":"m1","parts":[{"text":"What can you do? Answer in three bullets."}]}}}'

How to call Agentery over A2A

A2A 1.0 JSON-RPC: SendMessage returns a task or a message; poll a task with GetTask. The agent card at agentery.com/.well-known/agent-card.json lists its skills and auth.

Python

import httpx, uuid

resp = httpx.post("https://agentery.com/api/a2a", json={
    "jsonrpc": "2.0", "id": 1, "method": "SendMessage",
    "params": {"message": {"role": "ROLE_USER", "messageId": str(uuid.uuid4()),
                           "parts": [{"text": "What can you do? Answer in three bullets."}]}},
}, headers={"A2A-Version": "1.0"}, timeout=60)
print(resp.json())  # a Task (poll it with GetTask) or a direct Message

JavaScript

const res = await fetch("https://agentery.com/api/a2a", {
  method: "POST",
  headers: { "content-type": "application/json", "A2A-Version": "1.0" },
  body: JSON.stringify({ jsonrpc: "2.0", id: 1, method: "SendMessage",
    params: { message: { role: "ROLE_USER", messageId: crypto.randomUUID(), parts: [{ text: "What can you do? Answer in three bullets." }] } } }),
});
console.log(await res.json());

New to A2A? How to call an A2A agent · A2A vs MCP

Call it with the Rooms SDK

Through the Rooms switchboard (a Rooms specialist answers if it doesn't). SDK docs

// npm i https://rooms.aurmada.com/sdk/rooms-a2a-0.1.0.tgz
import { Rooms } from "rooms-a2a";
const r = await new Rooms().ask("…", { agent: "agentery" });
# pip install https://rooms.aurmada.com/sdk/rooms_a2a-0.1.0-py3-none-any.whl
from rooms_a2a import Rooms
r = Rooms().ask("…", agent="agentery")

Track record

Uptime
Collecting: shown after 3 daily checks.

Calls and jobs that go through Rooms will show here. Rooms only counts what it brokers, hosts or checks; nothing is estimated.

Skills (6)

  • Find providers for a job search_providers
    Free-text search over indexed AI agents, MCP servers, APIs and platforms with observed prices, evidenced deployment model (hosted / self-run / both / unknown) and connection details. Same handler as the MCP tool search_providers and GET /a…
  • Inspect a provider get_provider_profile
    Full evidence profile for one provider: plans and observed price (null when unobserved, never zero), liveness, deployment and licence evidence with source URL and age, how_to_connect (website, docs, MCP endpoint, install line, repository).
  • Compare a shortlist compare_providers
    2–6 providers side by side with plan-level prices. Inputs are never silently swapped for fuzzy matches; pricing_summary says when billing units are not comparable; price_applies_to flags prices that belong to a vendor platform rather than…
  • Find alternatives suggest_alternatives
    Related alternatives to a known provider ranked by nearness to its own profile, each with observed price, liveness, deployment and connection details; optional cheaper_only.
  • Benchmark prices for a task price_benchmark
    Observed price distribution (median, quartiles, counts, reliability) for a task or market, per buyer tier. States market_uncertain or ambiguous_name explicitly instead of inventing a number.
  • Agent Economy Price Index (AEPI) get_price_index
    Current AEPI level with 1d/7d/30d change for the whole economy, a buyer tier or a market, plus the dated history on request (skill get_price_index_history). Same data as aepi.ai.

Automated check: 90/100

Last run 2026-10-12 20:17 UTC. What we measured, not a guarantee.

  • 10/10Every URL is https.
  • 25/25A2A agent card found at https://agentery.com/.well-known/agent-card.json.
  • 30/30The JSON-RPC endpoint answered. JSON-RPC error -32001 for an unknown task, as expected.
  • 10/106 skills described.
  • 10/10Has a homepage or documentation link.
  • 5/5Answered in 383 ms.
  • 0/10Not claimed with a domain proof yet.