Inference Logoinference shell

Google Search Console

Read Search Console performance, URL index status, and sitemaps for your verified sites

seoproductivity
run in browser →run via API
run with your agent
# install belt
$curl -fsSL https://cli.inference.sh | sh
# sign in (or set INFERENCE_API_KEY on a headless machine)
$belt login
# view schema & details
$belt app get google/search-console
# run
$belt app run google/search-console --input '{}'
maker
google
category
other
price
from $0.00000277/sec
runs via
api, javascript and python sdk, belt cli, mcp
updated
2026-10-15

api reference

about

read search console performance, url index status, and sitemaps for your verified sites

1. calling the api

install the client

the client provides a convenient way to interact with the api.

bash
1pip install inferencesh

setup your api key

set INFERENCE_API_KEY as an environment variable. get your key from settings → api keys.

bash
1export INFERENCE_API_KEY="inf_your_key"

run and get result

submit a request and wait for the final result. best for batch processing or when you don't need progress updates.

python
1import os2from inferencesh import inference34client = inference(api_key=os.environ["INFERENCE_API_KEY"])567result = client.run({8        "app": "google/search-console",9        "input": {}10    })1112print(result["output"])

stream live updates

get real-time progress updates as the task runs. ideal for showing progress bars, partial results, or long-running tasks.

python
1import os2from inferencesh import inference34client = inference(api_key=os.environ["INFERENCE_API_KEY"])567# stream=True yields updates as they arrive8for update in client.run({9        "app": "google/search-console",10        "input": {}11    }, stream=True):12    if update.get("progress"):13        print(f"progress: {update['progress']}%")14    if update.get("output"):15        print(f"output: {update['output']}")

2. authentication

the api uses api keys for authentication. see the authentication docs for detailed setup instructions.

3. files

file inputs are automatically handled by the sdk. you can pass local paths, urls, or base64 data.

automatic upload

the python sdk automatically detects local file paths and uploads them. urls are passed through as-is.

python
1# local file paths are automatically uploaded2result = client.run({3    "app": "google/search-console",4    "input": {5        "image": "/path/to/local/image.png",  # detected & uploaded6        "audio": "https://example.com/audio.mp3",  # url passed through7    }8})

manual upload

you can also upload files manually and use the returned url.

python
1# upload and get a hosted URL2file = client.files.upload("/path/to/file.png")3print(file.uri)  # https://cloud.inference.sh/...

4. webhooks

get notified when a task completes by providing a webhook url. when the task reaches a terminal state (completed, failed, or cancelled), a POST request is sent to your url with the task result.

python
1result = client.run({2    "app": "google/search-console",3    "input": {},4    "webhook": "https://your-server.com/webhook"5}, wait=False)

webhook payload

your endpoint receives a JSON POST with the task result:

json
1{2  "event": "task.completed",3  "timestamp": "2024-01-15T10:30:05Z",4  "data": {5    "id": "task_abc123",6    "short_id": "abc123",7    "status": 10,8    "status_text": "completed",9    "output": { ... },10    "created_at": "2024-01-15T10:30:00Z",11    "updated_at": "2024-01-15T10:30:05Z"12  }13}
eventstringtask.completed, task.failed or task.cancelled
timestampstringiso timestamp of the delivery
data.idstringtask id
data.short_idstringshort task id
data.statusnumberterminal status (10=completed, 11=failed, 12=cancelled)
data.status_textstringthe status as a word: completed, failed or cancelled
data.outputobjecttask output (when completed)
data.errorstringerror message (when failed, omitted otherwise)
data.session_idstringsession id (when the task ran in a session, omitted otherwise)
data.created_atstringiso timestamp
data.updated_atstringiso timestamp

5. schema

input

no input parameters defined.

output

see task output for result format.

other other apps

Google Analytics

google/analytics

from $0.00000277/sec

HTTP Request

infsh/http

from $0.00000277/sec

FID Score

eval/fid-score

from $0.00055833/sec

CLIPScore

eval/clipscore

from $0.00055833/sec

ArcFace Identity Similarity

eval/arcface

from $0.00055833/sec

more from google

Google Analytics

google/analytics

from $0.00000277/sec

Gemini 4 Argon

google/gemini-4-argon

$2.00/M input, $10.00/M output

Gemini Nano Banana 2.1

google/gemini-nano-banana-2-1

$1.50/M input, $0.0336–$0.1134/image (1K–4K), +$0.014/query Google Search

Gemini 3.7 Flash

google/gemini-3-7-flash

$1.50/M input, $7.50/M output

new models

  1. Google Analytics

    google/analytics

    otherfrom $0.00000277/sec

  2. Fish Audio Drama 3

    fish-audio/drama-3

    audio$50.00/1M UTF-8 bytes

  3. Gemini 4 Argon

    google/gemini-4-argon

    chat$2.00/M input, $10.00/M output

  4. GPT-6 Sol

    openai/gpt-6-sol

    chat$2.00/M input, $0.20/M cached input, $10.00/M output

  5. GPT-6 Luna

    openai/gpt-6-luna

    chat$0.10/M input, $0.01/M cached, $0.50/M output

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