Works with the AI Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+21 more

    Exchange API Integration Diagnostics Agent

    1

    Diagnose exchange API failures, authentication errors, and rate limit issues with evidence-based fixes and tests.

    $24.99

    Secure checkout via Stripe

    Money-back guarantee

    Converts to your local currency at checkout

    Security scanned
    Exchange API Integration Diagnostics Agent

    Exchange API Integration Diagnostics Agent

    Example session with this skill installed

    I'm getting 'Invalid Signature' errors on Binance REST API using Python. Here is my redacted request, the signing string I'm using, and the 401 response. We are using HMAC SHA256.

    • Read your context and instructions
    • Compiled the exchange api integration

    I have analyzed the provided request logs and signing string for the Binance REST API. The discrepancy appears to be related to the parameter ordering in the canonical request string.

    Exchange Diagnostic Report

    CategoryFindingEvidence
    EnvironmentBinance REST API (Production)User logs
    AuthenticationSignature MismatchProvided signature does not match calculated HMAC
    SymptomsHTTP 401 UnauthorizedAPI Error Code -1022
    Root CauseParameter OrderingQuery parameters are not alphabetized before signing
    SeverityHighBlocks all authenticated requests

    Code Changes

    import hmac
    import hashlib
    import time
    from urllib.parse import urlencode
    
    # FIX: Ensure parameters are sorted alphabetically and timestamp is current
    def sign_request(params, secret):
        query_string = urlencode(sorted(params.items()))
        signature = hmac.new(
            secret.encode('utf-8'),
            query_string.encode('utf-8'),
            hashlib.sha256
        ).hexdigest()
        return signature
    
    # Example usage
    params = {
        'symbol': 'BTCUSDT',
        'side': 'BUY',
        'type': 'LIMIT',
        'timeInForce': 'GTC',
        'quantity': 0.001,
        'price': 60000,
        'recvWindow': 5000,
        'timestamp': int(time.time() * 1000)
    }
    
    # secret = 'REDACTED_LOCAL_KEY'
    # sig = sign_request(params, secret)
    

    Regression Tests

    Alphabetical Sort Test: Verify that symbol=BTC&side=BUY and side=BUY&symbol=BTC produce the same signing string.
    2. Timestamp Window Test: Verify timestamp is within the recvWindow of the Binance server time.
    3. Empty Body Test: Ensure GET requests with no parameters do not append a trailing ? to the base string.

    Next steps

    • Verify your local system clock is synced with NTP to avoid timestamp errors.
    • Run the Alphabetical Sort Test using the Binance HMAC SHA256 test vectors.
    • Confirm your recvWindow is set to at least 5000ms to account for network latency.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Exchange API integrations are notoriously fragile due to non-standard signing algorithms, strict rate limits, and asynchronous order states. This skill provides a systematic diagnostic framework to identify why your exchange connection is failing and how to fix it without leaking sensitive credentials.

    What it does

    • Authentication debugging validates signing algorithms, parameter ordering, and body serialization against exchange-specific requirements.
    • Rate limit analysis identifies 429 triggers, request weights, and burst patterns to recommend optimal backoff strategies.
    • WebSocket health checks evaluates heartbeat behavior, subscription acknowledgments, and sequence number gaps.
    • Order synchronization models lifecycle states to handle delayed or missing events and prevents duplicate order submission.
    • Fix generation produces minimal, language-appropriate code patches and regression tests for specific integration failures.

    How it works

    1. Intake where you provide sanitized exchange data, error codes, and redacted request/response logs.
    2. Analysis where the agent checks authentication, rate limits, timestamps, and WebSocket reliability.
    3. Hypothesis generation to explain the root cause based on evidence and exchange documentation.
    4. Reporting which delivers corrected code snippets, regression test cases, and a confidence assessment.

    Frameworks & tools

    Works with REST and WebSocket APIs across all major crypto and financial exchanges. Supports diagnostics for any programming language or library including CCXT, Web3.js, or native implementations in Python, Go, and Node.js.

    Why this beats prompting it yourself

    Generic LLMs often hallucinate exchange-specific signing rules or suggest unsafe retry logic. This skill follows a strict evidence-based workflow that enforces local verification and prevents credential leakage while prioritizing order-state reconciliation over simple retries.

    Use cases

    • Debugging "Invalid Signature" errors on new exchange integrations.
    • Fixing race conditions in high-frequency order placement.
    • Resolving WebSocket connection drops and missed execution events.
    • Implementing robust rate-limiting and exponential backoff logic.

    Known limitations

    Does not perform live trading or execution. Cannot verify fixes without user-provided sanitized logs. Requires manual entry of exchange documentation links if specific endpoints are non-standard.

    Requires sanitized logs; cannot access live accounts or private keys. Diagnostics are hypotheses until verified by the user in a sandbox environment.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

    Reviews

    No reviews yet

    Be one of the first to try it. Every listed skill goes through the trust checks below.

    Security scanned

    Checked by our 8-point scan before listing

    Fresh listing

    Recently published to Agensi

    Money-back guarantee

    Doesn't do what its page promises? You get your money back.

    Trust & safety

    Security scan

    Security scan passed 22 days ago

    Permissions

    No special permissions declared or detected

    Listed22 days ago

    What's inside

    Frequently Asked Questions

    This agent focuses on the 'fragile' layer of exchange connectivity—specifically debugging HMAC signing errors, resolving 429 rate limit triggers, and fixing asynchronous WebSocket event gaps that generic LLMs often misinterpret.

    The agent is language-agnostic and works with any stack, including CCXT, native Python, Node.js, or Go implementations, as long as you provide the sanitized logs and error codes for analysis.

    No, for security reasons, the agent never asks for your private keys or secrets; it analyzes your signing logic and redacted request/response headers to identify failures without exposing your credentials.

    You receive the diagnostic framework, pre-configured analysis workflows for authentication and rate-limiting, and templates for generating regression tests and code patches.

    The agent is highly effective for major exchanges like Binance, Coinbase, and Kraken; for smaller or non-standard exchanges, you can simply provide the API documentation link for the agent to ingest and analyze.

    No, this is a diagnostic and testing tool only; it provides the 'fix' in the form of code snippets and test cases that you must manually review and implement in your own trading environment.

    New in Testing & Debugging