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PBX ARI Orchestra Act

Query→act: whisper / hold / transfer / pci_stop / snoop. Records intent; optional customer Stasis webhook. ≤120/hour/key → 429. No DID sales.

POST /v1/pbx/orchestra/act · 1 credit

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POST/v1/pbx/orchestra/act

Request

{
  "call_id": "call_msp_001",
  "action": "whisper",
  "params": {
    "text": "Açık klima vaadi — dün 412",
    "agent_ext": "101",
    "source_type": "promise"
  }
}

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Response

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1endpoints

—data points banked

—time series

—median response

Why this exists

Built for hostile input

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PBX Search1

/v1/pbx/orchestra/act PBX ARI Orchestra Act 1 credit

Query→act: whisper / hold / transfer / pci_stop / snoop. Records intent; optional customer Stasis webhook. ≤120/hour/key → 429. No DID sales.

POST /v1/pbx/orchestra/act {call_id, action, params?, stasis_webhook_url?}. Turns search/suggest hits into ARI acts on THE CUSTOMER Asterisk (intent + optional webhook forward). No live Temsor RTP; stubs OK without Asterisk. Idle $0. Not a receptionist bot.

Parameters

call_id*	string	Live or indexed call id to act on.
action*	"whisper" \| "hold" \| "transfer" \| "pci_stop" \| "snoop"	whisper \| hold \| transfer \| pci_stop \| snoop
params	object	Action params (to_ext required for transfer).
pbx_id	string
stasis_webhook_url	string	Optional customer Stasis webhook — forge POSTs the act intent there.
skip_forward	boolean	Record only; do not POST webhook.

POST/v1/pbx/orchestra/act

Request

{
  "call_id": "call_msp_001",
  "action": "whisper",
  "params": {
    "text": "Açık klima vaadi — dün 412",
    "agent_ext": "101",
    "source_type": "promise"
  }
}

no request sent yet

Response

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Use it from an AI assistantthe same catalogue, exposed as MCP tools

Every endpoint is also published over the Model Context Protocol, so Claude, ChatGPT or your own agent can call it directly — no glue code, no wrapper functions. The assistant sees the same input schemas and the same metering.

Currently 68 tools. New endpoints appear automatically; nothing to update on your side.

claude_desktop_config.json

{
  "mcpServers": {
    "temsor": {
      "url": "https://api.temsor.com/mcp",
      "headers": { "x-api-key": "fk_live_…" }
    }
  }
}

Quickstart

Official client: npm install temsor-api · npmjs.com/package/temsor-api

Node.js

import Client from "temsor-api";

const api = new Client({ apiKey: KEY });
const r = await api.${(() => {
  const first = apis[0];
  return first.slug.split(/[/-]/).map((p, i) => (i === 0 ? p : p[0].toUpperCase() + p.slice(1))).join('');
})()}(${esc(JSON.stringify(apis[0].examples[0]?.input ?? {}))});
console.log(r, r.$meta);

cURL

curl -s https://api.temsor.com/v1/pbx/orchestra/act \
  -H "content-type: application/json" \
  -H "x-api-key: fk_live_…" \
  -d '{"call_id":"call_msp_001","action":"whisper","params":{"text":"Açık klima vaadi — dün 412","agent_ext":"101","source_type":"promise"}}'

JavaScript

const res = await fetch("https://api.temsor.com/v1/pbx/orchestra/act", {
  method: "POST",
  headers: { "content-type": "application/json", "x-api-key": KEY },
  body: JSON.stringify({"call_id":"call_msp_001","action":"whisper","params":{"text":"Açık klima vaadi — dün 412","agent_ext":"101","source_type":"promise"}})
});
const { data } = await res.json();

Python

import httpx
r = httpx.post("https://api.temsor.com/v1/pbx/orchestra/act",
    headers={"x-api-key": KEY},
    json={"call_id":"call_msp_001","action":"whisper","params":{"text":"Açık klima vaadi — dün 412","agent_ext":"101","source_type":"promise"}})
data = r.json()["data"]