temsor API
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AI Infrastructure

Part of the catalogue. The same key, envelope and billing cover every other endpoint too.

LLM Endpoint Drift

  • No account needed to try any endpoint on this page.
  • Deterministic endpoints answer from cache in single-digit milliseconds.
  • Every response carries a receipt: credits charged, cache status, duration.
POST/v1/model/drift
{
  "view": "aliases"
}
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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.

History cannot be backfilled

The exchange-rate archive grows every business day and each point keeps its source URL and content hash. A competitor can read today’s bulletin too — nobody can produce last quarter’s.

You only pay for work

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

Endpointsexpand any row to see the parameters and call it live

AI Infrastructure1

/v1/model/drift LLM Endpoint Drift 1 credit

Independent daily record of what changed behind a provider endpoint: which alias resolved to which model, and when behaviour shifted.

Providers update models behind stable endpoint names. This endpoint publishes an independent measurement: a fixed probe suite is sent daily at temperature 0, three repeats per probe, and the identity a provider declares in its own response (`modelVersion`, `system_fingerprint`, region) is recorded alongside. A change is only reported as drift when the repeats agree with each other and disagree with the previous run — same-day disagreement is noise, not drift. `aliases` answers "what was actually behind `gemini-flash-latest` on that day"; a question that cannot be answered retroactively.

Parameters

view "aliases" | "events" | "probes" `aliases`: takma ad → arkasındaki gerçek model tarihçesi · `events`: sapma olayları · `probes`: son koşudaki sonda durumu. default "aliases"
provider string Sağlayıcıya göre süz (gemini, groq, cerebras, mistral).
severity "high" | "medium" | "low" | "info" Yalnız `events` görünümünde.
days integer Kaç günlük tarihçe (yalnız `events`). default 90
limit integer default 100
POST/v1/model/drift
{
  "view": "aliases"
}
no request sent yet
Press Run to call the live API from your browser.

Pricingone key covers every endpoint

Free
Free
credits
2,000
Rate limit
2/s
Try it now
Starter
$19/mo
credits
50,000
Rate limit
10/s
most picked
Pro
$79/mo
credits
300,000
Rate limit
30/s
Scale
$299/mo
credits
2,000,000
Rate limit
100/s

Credits are consumed per call and cache hits are free. Requests without a key run on a narrow per-IP demo quota so you can evaluate before signing up.

The API key is e-mailed the moment payment clears. Upgrades keep the same key, so your integration is never broken.

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 15 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/model/drift \
  -H "content-type: application/json" \
  -H "x-api-key: fk_live_…" \
  -d '{"view":"aliases"}'

JavaScript

const res = await fetch("https://api.temsor.com/v1/model/drift", {
  method: "POST",
  headers: { "content-type": "application/json", "x-api-key": KEY },
  body: JSON.stringify({"view":"aliases"})
});
const { data } = await res.json();

Python

import httpx
r = httpx.post("https://api.temsor.com/v1/model/drift",
    headers={"x-api-key": KEY},
    json={"view":"aliases"})
data = r.json()["data"]