Rate Limits

All API requests are rate limited per organization to ensure fair usage and platform stability.

Default Limits

Window	Limit
Per minute	60 requests
Per day	5,000 requests

Per-organization overrides are available on enterprise plans. Contact support@dealmachine.com to discuss higher limits.

Response Headers

Every API response includes rate limit headers so you can track your usage in real time:

Header	Description
`X-RateLimit-Limit`	Maximum requests allowed per minute
`X-RateLimit-Remaining`	Requests remaining in the current minute window
`X-RateLimit-Reset`	Unix timestamp (seconds) when the minute window resets
`X-RateLimit-Day-Limit`	Maximum requests allowed per day
`X-RateLimit-Day-Remaining`	Requests remaining today

429 Response

When you exceed the rate limit, the API returns a 429 Too Many Requests response:

{
  "error": {
    "code": "rate_limit_exceeded",
    "message": "Too many requests. Please retry after the specified time.",
    "request_id": "req_abc123def456",
    "details": {
      "limit_type": "minute",
      "retry_after": 12
    }
  }
}

The response also includes a Retry-After header with the number of seconds to wait before retrying.

Field	Description
`details.limit_type`	Which limit was exceeded: `minute` or `day`
`details.retry_after`	Seconds until you can retry
`Retry-After` header	Same value as `details.retry_after`

Exponential Backoff

When you receive a 429 or 5xx response, use exponential backoff to retry. This means waiting progressively longer between retries:

Wait 1 second, then retry
If still failing, wait 2 seconds, then retry
Then 4 seconds, 8 seconds, 16 seconds…
Cap the maximum wait at 30 seconds

Add a small random jitter (0-500ms) to each wait to prevent thundering herd problems when multiple clients retry simultaneously.

JavaScript / TypeScript

async function fetchWithRetry(
  url: string,
  options: RequestInit,
  maxRetries = 5
): Promise<Response> {
  for (let attempt = 0; attempt <= maxRetries; attempt++) {
    const response = await fetch(url, options);

    if (response.ok) return response;

    // Don't retry client errors (except 429)
    if (response.status >= 400 && response.status < 500 && response.status !== 429) {
      return response;
    }

    if (attempt === maxRetries) return response;

    // Exponential backoff with jitter, capped at 30s
    const baseDelay = Math.min(1000 * Math.pow(2, attempt), 30000);
    const jitter = Math.random() * 500;
    await new Promise((resolve) => setTimeout(resolve, baseDelay + jitter));
  }

  throw new Error("Unreachable");
}

// Usage
const response = await fetchWithRetry(
  "https://api.v2.dealmachine.com/v1/enrichment/address",
  {
    method: "POST",
    headers: {
      Authorization: `Bearer ${apiKey}`,
      "Content-Type": "application/json",
    },
    body: JSON.stringify({
      addresses: [{ full_address: "123 Main St, Austin, TX 78704" }],
    }),
  }
);

Python

import time
import random
import requests

def fetch_with_retry(url, headers, json_body, max_retries=5):
    for attempt in range(max_retries + 1):
        response = requests.post(url, headers=headers, json=json_body)

        if response.ok:
            return response

        # Don't retry client errors (except 429)
        if 400 <= response.status_code < 500 and response.status_code != 429:
            return response

        if attempt == max_retries:
            return response

        # Exponential backoff with jitter, capped at 30s
        base_delay = min(2 ** attempt, 30)
        jitter = random.uniform(0, 0.5)
        time.sleep(base_delay + jitter)

# Usage
response = fetch_with_retry(
    "https://api.v2.dealmachine.com/v1/enrichment/address",
    headers={"Authorization": f"Bearer {api_key}"},
    json_body={
        "addresses": [{"full_address": "123 Main St, Austin, TX 78704"}]
    },
)

Best Practices

Do	Don’t
Retry `429` and `5xx` responses with exponential backoff	Retry `400` or `401` errors (fix the request instead)
Check `X-RateLimit-Remaining` before sending bursts	Ignore rate limit headers and retry blindly
Use batch endpoints to reduce request count	Send one item per request when batch is available
Cache results locally when possible	Re-fetch data you already have
Add jitter to retry delays	Have all clients retry at the exact same time

All enrichment and batch endpoints accept up to 250 items per request. Batching reduces your request count significantly — 250 addresses in a single request counts as 1 request toward your rate limit.

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AI Assistants

Rate Limits

Rate Limits

Default Limits

Response Headers

429 Response

Exponential Backoff

JavaScript / TypeScript

Python

Best Practices

​Rate Limits

​Default Limits

​Response Headers

​429 Response

​Exponential Backoff

​JavaScript / TypeScript

​Python

​Best Practices

Rate Limits

Default Limits

Response Headers

429 Response

Exponential Backoff

JavaScript / TypeScript

Python

Best Practices