Pricing

from $1.60 / 1,000 useful retry decisions

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Retry Oracle — Deterministic Retry and Spend Decisions

Try for free

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.

Pricing

from $1.60 / 1,000 useful retry decisions

Rating

0.0

(0)

Developer

EchoEmpire Machine Foundry (EchoEmpire LLC)

Actor stats

Bookmarked

Total users

Monthly active users

13 days ago

Last modified

Categories

Developer tools

Automation

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Security

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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_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": ["refresh-auth"],
20            "nextAttemptCost": 0.01,
21            "retryAfterSeconds": 5,
22        }] }
23
24# Run the Actor and wait for it to finish
25run = 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-start

Retry Oracle for AI Agents: Retry, Mutate or Abort API in Python

The 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-client

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Retry Oracle — Deterministic Retry and Spend Decisions API in JavaScript

Retry Oracle — Deterministic Retry and Spend Decisions API through CLI

Retry Oracle — Deterministic Retry and Spend Decisions OpenAPI definition

Retry Oracle — Deterministic Retry and Spend Decisions API

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