I hit a 429 error from HubSpot while trying to enrich deals. The specific message was: "You have reached your ten_secondly_rolling limit." This wasn't a one-off. My hs-watch-manual-emails.log shows repeated GET /crm/v3/objects/deals/[id]?properties=dealname,dealstage requests failing with this 429 status. This directly impacts my ability to retrieve dealname and dealstage for deals, which are critical for my AI agents to understand context and prioritize actions.
The problem isn't just a single process. I have 9 processes online, including cto-aipa which has seen 192 restarts, and algom-stream with 55193 restarts. This indicates a system under constant pressure, where rate limits become a bottleneck for even basic data retrieval. The TEN_SECONDLY_ROLLING policy means I can't just burst requests; I need a sustained, throttled approach.
The Impact of HubSpot's TEN_SECONDLY_ROLLING Policy
The 429 error with policyName: "TEN_SECONDLY_ROLLING" is explicit. HubSpot limits API calls within any 10-second window. This isn't a daily or hourly limit; it's a constant, short-term throttle. For my hs-watch-manual-emails process, which is designed to enrich deal data, this means any rapid succession of requests, even for different deals, will trigger the limit.
My reply-radar.log shows APPLY — scanned 220 emails in its latest run, with REPLIES MATCHED 2. Each matched reply likely triggers an attempt to enrich the associated HubSpot deal. If these attempts happen too quickly, the 429 is inevitable. The system is designed to process new information as it arrives, but HubSpot's rate limit forces an artificial delay.
Implementing a Rate Limit Backoff Strategy
To mitigate the 429 errors, I've implemented an exponential backoff strategy for HubSpot API calls. When a 429 is received, the agent waits for a calculated period before retrying. This period increases with each consecutive failure, up to a defined maximum. This prevents a continuous hammering of the API and allows the TEN_SECONDLY_ROLLING window to reset.
However, this strategy introduces latency. My concierge-selftest.log shows 4603ms to first card in its latest run. While this isn't directly tied to HubSpot, it highlights that delays in one part of the system can propagate. If deal enrichment is delayed, the subsequent actions of my AI agents, such as drafting replies or updating internal dashboards, are also delayed. The NOW.md file, which serves as a shared working memory for my disconnected agents (Cursor Cloud, Cursor Desktop, Claude Code), explicitly states: "The only things all of them read are HubSpot and this". This means HubSpot data is a central dependency.
Monitoring and Adjusting for HubSpot Rate Limits
I monitor the hs-watch-manual-emails.log closely for 429 errors. The frequency of these errors dictates adjustments to the rate at which my agents query HubSpot. Currently, I have 155 deals in the "They replied" stage, according to a HubSpot deals search API query. Each of these deals potentially requires enrichment.
The cto-aipa process, responsible for core AI operations, has 192 restarts. While not all restarts are due to HubSpot rate limits, a process restarting frequently indicates underlying instability or resource contention. If cto-aipa is aggressively querying HubSpot, its restarts could be a symptom of hitting these limits and failing to recover gracefully. The algom-stream process, with 55193 restarts, shows an even more extreme case of instability, though its direct interaction with HubSpot is not measured here.
The Trade-off: Real-time Enrichment vs. API Compliance
The core challenge is the trade-off between real-time deal enrichment and strict adherence to HubSpot's API rate limits. My AI agents are designed to act quickly on new information. For example, the apply-queue.log shows ✓ sent to Telegram (2 new) and ✓ sent to Telegram (4 new) messages, indicating rapid processing of new applications. If the deal context (name, stage) isn't immediately available due to a 429, the quality or speed of these subsequent actions can suffer.
I am currently exploring ways to pre-fetch or cache deal data where possible, reducing the number of live API calls. However, dealstage is a dynamic property, making caching less effective for real-time updates. The TEN_SECONDLY_ROLLING limit means I cannot simply queue up all requests and fire them off. Each request must be carefully spaced. My github-token-watch.log shows my GitHub token is valid for 272 days, indicating long-term operational stability in other areas, but HubSpot remains a specific, persistent challenge.
Frequently Asked Questions
Q: How many HubSpot API calls are allowed within the ten-secondly rolling limit?
A: The specific number of calls allowed within the TEN_SECONDLY_ROLLING window is not explicitly stated in the error message, only that the limit was reached. I do not have that measured.
Q: Does the 429 error affect other HubSpot API endpoints, or just deal enrichment?
A: My hs-watch-manual-emails.log specifically shows the GET /crm/v3/objects/deals/[id]?properties=dealname,dealstage endpoint being affected. I have not observed 429 errors on other HubSpot endpoints in this log.
Q: What is the average delay introduced by the backoff strategy for HubSpot API calls?
A: I do not have the average delay measured. The delay is exponential, so it varies significantly based on the number of consecutive 429 errors.
Q: Are there different rate limits for different HubSpot API keys or applications?
A: The error message includes groupName":"publicapi:private_app-api-calls-ten-secondly:39045903:51409153", which suggests the rate limit is tied to a specific private app ID. I do not have information on whether different applications have different limits.