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PBX Redact

KVKK forget: anonymize/delete Person phones + Promise text by id or phone; always audits a Redaction doc (audio may stay on customer disk).

POST /v1/pbx/redact · 1 credit

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POST/v1/pbx/redact

Request

{
  "target_type": "promise",
  "target_id": "prm_001",
  "reason": "KVKK talep",
  "mode": "anonymize"
}

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Response

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1endpoints

—data points banked

—time series

—median response

Why this exists

Built for hostile input

A Turkish address arrives as "Cd." or "Cad." or "Caddesi", with the flat number glued to the building number. Generic parsers drop half of it silently. This one tells you what it could not place.

Every number carries its provenance

Each archived point stores the source URL and a content hash of the page it came from, and the archive is committed to a Merkle root anchored in Bitcoin. Every commitment — with its cutoff, leaf count and anchors — is published at /proof, so you can check for yourself how current the latest one is. The bulletins themselves are public and anyone can read them; what this adds is that a number you quote can be shown to be the number we held on that date, and that it has not been edited since.

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Repeated inputs come from cache and cost zero credits. If a response ever fails its own schema, the call is refunded automatically.

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PBX Search1

/v1/pbx/redact PBX Redact 1 credit

KVKK forget: anonymize/delete Person phones + Promise text by id or phone; always audits a Redaction doc (audio may stay on customer disk).

Hardened redaction. mode=anonymize|delete. Lookup by target_id or phone. Media files remain customer-side when URI-only.

Parameters

target_type	"promise" \| "call" \| "person" \| "fact" \| "utterance"	Index document type. Optional when `phone` is set.
target_id	string	Document id (prm_, per_, call_, fact_).
phone	string	Caller phone — finds Person phones (+ linked Promise text).
reason	string	KVKK / forget reason.
mode	"anonymize" \| "delete"	anonymize (default) scrubs fields; delete removes docs.

POST/v1/pbx/redact

Request

{
  "target_type": "promise",
  "target_id": "prm_001",
  "reason": "KVKK talep",
  "mode": "anonymize"
}

no request sent yet

Response

Press Run to try free — no key needed.

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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 51 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/redact \
  -H "content-type: application/json" \
  -H "x-api-key: fk_live_…" \
  -d '{"target_type":"promise","target_id":"prm_001","reason":"KVKK talep","mode":"anonymize"}'

JavaScript

const res = await fetch("https://api.temsor.com/v1/pbx/redact", {
  method: "POST",
  headers: { "content-type": "application/json", "x-api-key": KEY },
  body: JSON.stringify({"target_type":"promise","target_id":"prm_001","reason":"KVKK talep","mode":"anonymize"})
});
const { data } = await res.json();

Python

import httpx
r = httpx.post("https://api.temsor.com/v1/pbx/redact",
    headers={"x-api-key": KEY},
    json={"target_type":"promise","target_id":"prm_001","reason":"KVKK talep","mode":"anonymize"})
data = r.json()["data"]