Retry Oracle — Deterministic Retry and Spend Decisions
Under maintenancePricing
$2.00 / 1,000 useful retry decisions
Failed operation plus attempt, deadline, spend and idempotency context → RETRY, MUTATE or ABORT with reason codes, bounded delays and SHA-256 provenance. No LLM and no operation execution.
You can access the Retry Oracle — Deterministic Retry and Spend Decisions programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = { "items": [{9 "operationType": "http_get",10 "failureCategory": "rate_limit",11 "statusCode": 429,12 "attemptNumber": 1,13 "maxAttempts": 4,14 "elapsedSeconds": 2,15 "deadlineSeconds": 120,16 "amountSpent": 0.01,17 "maxSpend": 0.1,18 "idempotent": True,19 "allowedMutations": [],20 "nextAttemptCost": 0.01,21 "retryAfterSeconds": 5,22 }] }23
24# Run the Actor and wait for it to finish25run = client.actor("skilled_glee/retry-oracle").call(run_input=run_input)26
27# Fetch and print Actor results from the run's dataset (if there are any)28print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")29for item in client.dataset(run.default_dataset_id).iterate_items():30 print(item)31
32# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Retry Oracle — Deterministic Retry and Spend Decisions API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: