Gobii sells always-on AI agents that browse, research, and deliver work into the tools a revenue team already runs. The buying decision is not whether the agents are impressive.
It is whether you can forecast what they cost once a single instruction turns into a chain of tool calls.
That is the question this Gobii review answers first. If you are shortlisting agent platforms alongside AI CRM software or evaluating automated prospecting for lead management, the plan math below is the part that decides the budget.
Pro lists at $50 per month for 1,000 included tasks and Scale at $250 for 10,000. The new Team plan is $50 per seat with pooled credits, all checked on August 10, 2026 against Gobii’s pricing page.
Quick Verdict
| Quick verdict | Assessment |
|---|---|
| Best for | Teams with a repeatable browser or research job that runs daily or weekly and delivers into a CRM, ATS, inbox, or channel |
| Not ideal for | Occasional one-off questions, or buyers who need a fixed cost per business request before piloting |
| Starting price | $50 per month (Pro), after a 7-day free trial |
| Practical plan | Pro for a single owner under roughly 3,000 monthly task units; Scale above that |
| Free plan or trial | 7-day free trial on Pro and Scale for first-time customers; no free tier on the public pricing page |
| Setup difficulty | Moderate on cloud, high for self-hosting (Docker with at least 12 GB RAM allocated) |
| Main strength | Persistent scheduled agents with documented approval controls and an Agent API |
| Main limitation | Official sources describe the billing unit two different ways, so real credit burn has to be measured |
| Best alternative | n8n for deterministic step-based automation; Zapier Agents for a lighter agent layer on an existing stack |
Methodology: How This Gobii Review Was Built
This analysis draws on Gobii’s live pricing page, its official product site, and its published documentation for tasks, task credits, billing, integrations, approvals, the Agent API, self-hosted deployment, and privacy. Pricing, plan limits, and feature gates were checked on August 10, 2026.
Gobii was assessed against the same buyer criteria applied to every agent platform on this site: usable entry pricing, upgrade triggers, usage limits, plan-gated workflows, integration architecture, admin control, support scope, and the cost of scaling a recurring job.
Greater weight was given to factors that change a purchase order: included allowance, overage mechanics, seat pooling, API throughput, contact ceilings, and deployment burden. Vendor positioning and demo figures carried no weight in the assessment.
Claims that could not be traced to a current official source were excluded. Where two official Gobii pages describe the same billing concept differently, both descriptions are reported and neither is presented as settled.
What Is Gobii?
Gobii is an AI agent platform from Gobii Inc. built around persistent agents that keep running on a schedule rather than answering a single prompt and stopping. The documentation calls the agents Gobiis, while developer resources use the term agent for the underlying API object.
The product is positioned for recurring recruiting, sales, research, browser automation, structured data collection, and workflow execution, with results delivered into an existing tool such as a CRM, ATS, inbox, spreadsheet, or chat channel.
One naming point is worth settling before the pricing math. No Gobii source in this research names the product “Gobii Kimi K2.5” or identifies Kimi K2.5 as its cloud model.
Treat that pairing as unverified. Read the separate Kimi K2.5 review if the model itself is what you are evaluating.
Source: Gobii and the Gobii documentation, checked August 10, 2026.
Gobii Pricing in 2026
Three self-service plans are published, plus a sales-led Enterprise tier and an MIT-licensed self-hosted option. Pro and Scale are month-to-month, and Gobii states that a first-time customer can cancel before the trial ends to avoid charges.
| Plan | Monthly price (US) | Included usage | Extra task price | Trial |
|---|---|---|---|---|
| Pro | $50 | 1,000 tasks | $0.10 | 7 days |
| Scale | $250 | 10,000 tasks | $0.04 | 7 days |
| Team | $50 per seat | 1,000 pooled task credits per seat | Metered overage, unit price not published | Not listed |
| Enterprise | Custom | Custom | Custom | Sales-led |
A freshness warning belongs here. Several pages still ranking for this keyword state that Pro includes 500 tasks, and one of those pages was the earlier version of this review.
The current Gobii plan comparison states 1,000 included tasks on Pro, and this Gobii review uses that figure throughout. Any cost model built on the old 500-task number understates what $50 buys and misplaces the upgrade point by roughly a thousand task units.
Source: Gobii pricing, checked August 10, 2026.
The Pro to Scale crossover is 3,000 task units
Pro charges $50 plus $0.10 for every task above 1,000, and Scale charges a flat $250 up to 10,000, both taken from the published Gobii plan cards.
Set those equal and the crossover lands at exactly 3,000 published task units per month. Below that, Pro is cheaper.
Above it, Pro overages climb while Scale stays flat until its own included ceiling.
| Monthly task units | Pro cost | Scale cost | Cheaper plan |
|---|---|---|---|
| 1,000 | $50 | $250 | Pro |
| 3,000 | $250 | $250 | Tie |
| 5,000 | $450 | $250 | Scale |
| 10,000 | $950 | $250 | Scale |
| 12,000 | $1,150 | $330 | Scale |
| 20,000 | $1,950 | $650 | Scale |
Treat this as plan arithmetic from the pricing page, not a measured cost per finished business outcome. The task terminology problem in the next section is the reason for that caveat.
Team is a collaboration purchase, not a volume discount
At five seats, Team costs $250 per month and pools 5,000 task credits, against the same $250 and 10,000 included tasks on Scale. Both figures come from the Gobii Team and Scale plan cards.
On raw allowance, Scale wins that comparison. Team earns its price through shared agents, private templates, shared credentials, integrations, API keys and secrets, roles, invites, and team billing.
| Team seats | Monthly cost | Pooled task credits per month |
|---|---|---|
| 1 | $50 | 1,000 |
| 5 | $250 | 5,000 |
| 10 | $500 | 10,000 |
[CHART: Grouped bar chart showing Team monthly cost at 1, 5, and 10 seats against pooled task credits of 1,000, 5,000, and 10,000. Supports the seat-to-credit ratio and the ten-seat cost of $500 per month.]
Ten seats is the reference point most buyers ask about, and at the published $50 per seat rate it lands at $500 per month with 10,000 pooled credits. I would not buy Team because the company has ten people.
I would buy it when two or more of them must own, edit, or govern the same agents.
Hidden costs and billing controls
Gobii’s Billing console can stop work at the included allowance, permit capped extra usage, or permit unlimited additional usage where supported. Saved billing settings and add-on quantities carry into future billing periods until someone changes them.
That persistence is the trap. A cap raised during a busy month stays raised in the quiet one that follows.
Documented add-on categories include Task Packs, Contact Packs, Browser Task Packs, Advanced CAPTCHA, and Dedicated IPs. No current public price was verified for any of them, and none was verified for Team metered overage, so a full high-usage Team budget cannot be built from public pages alone.
For a first production rollout I would set capped additional usage rather than unlimited, then raise the cap only after a month of observed data.
Source: Gobii billing, usage, and tasks documentation, checked August 10, 2026.
What a Task Really Means in Gobii
This is the part of the Gobii review that changes budgets. Gobii’s own pages describe the billing unit in two different ways.
The pricing FAQ says a task is a single automation job submitted to Gobii, and that each submission counts as one task against quota. The task documentation says an agent breaks a user request into discrete tasks and tool calls, and its worked example turns one request into five tasks.
Task credits add a third layer. They are consumed granularly, each agent can carry a daily soft limit, the agent can slightly exceed that soft limit to finish its current cycle, and it pauses until the next day once the derived hard limit is reached.
[DIAGRAM: Flow showing one user request branching into several tool-call tasks, those tasks drawing down task credits at a rate influenced by the intelligence setting, the agent crossing its daily soft limit, finishing the current cycle, then pausing at the derived hard limit until the next day.]
Two consequences follow for a buyer. An always-on agent is not always running, because a conservative daily cap can stop time-sensitive work while monthly allowance still remains.
And no one should assume that one prompt equals one billed task. The honest move is to run one representative workflow for a week, read the Usage console, and derive the monthly figure from observed burn.
One more inconsistency is worth flagging. The generic task credits page states that additional tasks were 10 cents each at the time of writing, while the live plan-specific page prices Scale overage at 4 cents, so the pricing page is the figure to budget from.
Source: Gobii tasks and task credits documentation, checked August 10, 2026.
Feature Gates by Plan
Three gates matter more than the rest, and none of them is about raw task volume.
| Capability | Pro | Scale | Team |
|---|---|---|---|
| API rate limit | 600 requests/min | 1,500 requests/min | 2,000 requests/min |
| Max contacts per agent | 20 | 50 | 50 |
| Batch scheduling and queueing | Not listed | Included | Included |
| Shared agents and private templates | Not listed | Not listed | Included |
| Team roles, invites, and team billing | Not listed | Not listed | Included |
| Shared credentials, integrations, API keys, secrets | Not listed | Not listed | Included |
| Intelligence selection | Available | Available, highest levels advertised | Available |
| Support channel | Email and chat | Dedicated channel | Priority support |
Batch scheduling and queueing sits on Scale and Team, so a Pro buyer running many scheduled agents can hit an operational ceiling before a financial one.
The intelligence selector is the gate with the least obvious cost. Pro, Scale, and Team can all adjust agent intelligence, and Gobii states plainly that higher intelligence consumes task credits faster.
That makes model choice a budget decision, not only an accuracy decision. I would start every new agent at the lowest intelligence level that produces acceptable output and raise it only where the work fails.
Source: Gobii intelligence selector documentation, checked August 10, 2026.
Key Features and What They Gate
Persistent scheduled agents
Agents run on cron-like schedules including daily and every-30-minute patterns, and they can be activated or deactivated without being rebuilt. The use case is any job with a fixed cadence, such as a Monday sourcing list or a nightly competitor sweep.
The limitation is the daily credit cap described above, which pauses an agent rather than queueing its work for later in the day.
Browser automation and web research
Gobii positions browsing, structured data collection, and workflow execution as the core of the product rather than an add-on. This is the capability that separates it from step-based automation tools that need an API for every action.
Browser-heavy work is also where credit burn is least predictable, and Browser Task Packs and Advanced CAPTCHA appear as separate add-on categories in Billing.
Connected apps
App connections are documented with an explicit flow: open Gobii, find integrations, search the app, authorize it, assign it to an agent, send a test instruction, then review timeline activity or pending requests. Many of those connections are Pipedream-backed rather than first-party.
Architecture matters here because authentication, permissions, and troubleshooting differ between a native app and a brokered connection.
Approvals and secret handling
Gobii documents human input, secret, contact, spawn, and change approval requests, and instructs users to supply credentials through the secret flow instead of pasting them into chat. This is the control that keeps an autonomous agent from quietly widening its own scope.
The tradeoff is that an unattended workflow can sit paused waiting for a human to approve a request.
Agent API
The Gobii Agent API exposes persistent agents, schedules, activation state, messages, timelines, processing state, and recent browser-task inspection, authenticated with an API key. Published throughput runs 600 requests per minute on Pro, 1,500 on Scale, and 2,000 on Team, per the plan comparison table.
Failure behavior at the ceiling is not documented on the pricing page, so client-side throttling is the safe assumption until a team confirms it.
Source: Gobii Agent API documentation, checked August 10, 2026.
Setup, Ease of Use, and the First Working Agent
Getting a useful agent running is less about the interface and more about writing a charter narrow enough to be cheap. The documented path is to create the agent, attach only the tools it needs, set a schedule, set a conservative daily credit limit, activate it, then read the timeline and task state.
Difficulty on cloud is moderate for an operator comfortable with automation tools. Difficulty on self-hosted deployment is high and belongs to an engineering team.
Gobii also publishes a troubleshooting order that is worth adopting on day one: check Tasks for status and errors, then Usage for credit pressure, then Billing for limits and add-ons. Three consoles, one sequence, and most stalled-agent questions resolve inside it.
The 30-day and 90-day test I would apply is simple. After 30 days, one recurring job should be running unattended with a stable credit burn.
After 90 days, the output should be landing in the destination system without a human reformatting it.
Integrations and Ecosystem
Integration depth is uneven, and treating every logo as equivalent is the mistake to avoid.
| Connection type | Example | What the buyer gets | What to check |
|---|---|---|---|
| Native workspace app | HubSpot via OAuth | CRM object operations inside the connected account | HubSpot plan, OAuth scopes, and user permissions still bind the agent |
| Native bot | Discord | Channel-level monitoring and replies | One server per authorization; Manage Server permission needed at setup |
| Pipedream-backed connection | Many catalog apps | Broad app coverage through a documented connect and authorize flow | Auth and troubleshooting run through the connection layer |
| Browser access | Sites without an app | Work on pages that expose no API | Credit burn and CAPTCHA handling |
| API and MCP | Custom systems | Programmatic agent control | Plan-level rate limits |
The HubSpot path is the one that matters most to a revenue team, and it is documented as a native OAuth app whose reach is capped by the connected account, its plan, its scopes, and its permissions. An agent cannot exceed what that HubSpot user could do, which is exactly the boundary a RevOps lead should want.
If you are pricing the CRM side of that stack at the same time, the HubSpot CRM review and current HubSpot pricing cover the gates on that end.
Discord behaves differently. Each authorization adds a single server, individual agents subscribe to selected channels, and setup needs Manage Server permission, so a multi-server community is a multi-step rollout.
Source: Gobii connect apps, HubSpot, and Discord documentation, checked August 10, 2026.
API and Automation Limits
Throughput is a clean upgrade trigger for engineering buyers. Scale publishes 2.5 times Pro’s ceiling, and Team publishes roughly 3.33 times Pro’s ceiling.
A bursty integration can therefore force a plan change while monthly task usage stays comfortably inside Pro’s 1,000. Teams unfamiliar with rate-limit design should read what an API is before sizing the tier.
Contact ceilings work the same way. The Gobii plan limits allow 20 contacts per agent on Pro against 50 on Scale and Team, so an outreach-heavy agent can hit the contact wall long before the task wall.
Security, Privacy, and Admin Controls
Approvals are the strongest control in the product. Read the request and its reason, check who and what and where and for how long, approve only what matches intent, narrow or reject anything broader, and route credentials through the secret flow.
Gobii’s privacy policy covers account data, submitted content and instructions, usage and log data, and downstream data an agent returns. It states that the customer remains controller of downstream personal data it directs an agent to collect, and it describes itself as designed around GDPR, CPRA, and comparable obligations.
The policy carries a last-updated date of May 20, 2025.
That controller language is the sentence a security reviewer should read twice. Pointing an agent at a public profile page and pulling personal data back into a CRM is a data-governance decision that sits with the buyer.
No published SOC 2 report or certification statement was found in the official Gobii pages reviewed for this article. That is a research boundary rather than proof of absence, and procurement teams that require the artifact should request it directly before contracting.
Source: Gobii approvals and requests and privacy policy, checked August 10, 2026.
Support
Support scope differs by plan: email and chat on Pro, a dedicated channel on Scale, and priority support on Team, with SLAs referenced only for Enterprise. Public options include a Discord community staffed by Gobii people and a support contact form.
No response-time commitment was verified for the public channels. For a workflow that feeds a sales pipeline every morning, that gap is an argument for Scale or Team rather than a footnote.
Source: Gobii support, checked August 10, 2026.
Self-Hosting: What You Actually Take On
Gobii states that its core is MIT-licensed and can be self-hosted with buyer-selected AI models. That removes a Gobii software fee.
It does not make the deployment free.
The documented prerequisites are Docker with at least 12 GB of RAM allocated, Git, and an API key for the chosen LLM provider. First run requires creating an admin account and selecting a provider and model, with optional worker services added where needed.
| Self-hosting responsibility | Who owns it |
|---|---|
| Gobii core license | MIT, no vendor fee |
| Infrastructure and 12 GB RAM floor | Buyer |
| LLM provider account and usage billing | Buyer |
| Upgrades, workers, monitoring, reliability | Buyer |
| Managed cloud support tiers | Not applicable |
Self-hosting is a real option for a security-conscious engineering team that wants provider choice. It is the wrong option for a five-person sales team with no platform engineer, and no MIT license changes that.
Source: Gobii self-hosted deployment documentation, checked August 10, 2026.
Gobii Limitations
- The billing unit is described two ways. Pricing calls one submission one task while the task documentation decomposes one request into several, so cost per business outcome has to be measured rather than read off a page.
- Daily hard limits pause agents. A soft limit set too low stops an always-on agent mid-day even when monthly allowance is untouched.
- Higher intelligence burns credits faster. The setting that improves output quality also shortens the month, with no change to the sticker price.
- Several cost surfaces are unpriced in public. Team metered overage, Task Packs, Contact Packs, Browser Task Packs, Advanced CAPTCHA, and Dedicated IPs all lack a verified public rate.
- Migration fidelity is undocumented. No official source verified in this research specifies how agents, history, credentials, schedules, or automation state transfer in from another platform, which is the same diligence problem covered in this CRM migration guide.
- Compliance evidence is not public. No SOC 2 artifact was found in the reviewed official pages, and API rate-limit failure behavior is likewise undocumented.
Pros and Cons
| Pros | Cons |
|---|---|
| 1,000 included tasks on a $50 plan, doubled from the allowance most ranking pages still quote | One request can decompose into several billed tasks, so cost per outcome is unpredictable before a pilot |
| Billing controls can stop, cap, or allow additional usage rather than silently metering | Saved caps and add-on quantities persist into later billing periods until changed |
| Approval requests cover human input, secrets, contacts, spawning, and configuration changes | Autonomous workflows can stall while waiting for a human decision |
| HubSpot is a native OAuth app with permissions bound to the connected account | Many other app connections are Pipedream-backed rather than first-party |
| MIT-licensed core with buyer-selected models for self-hosting | Self-hosting needs Docker with 12 GB RAM, Git, a provider key, and ongoing operations ownership |
| Published API throughput of 600, 1,500, and 2,000 requests per minute by plan | No documented behavior at the rate ceiling, and no verified public SOC 2 artifact |
Who Should Use Gobii?
Outbound and RevOps teams of three to ten people running daily account or company research that has to land as structured records in a CRM. The recurring cadence is what makes the fixed plan cost defensible.
Recruiting operations teams producing weekly sourcing or candidate research lists. Recruiting is a first-party use case for the product, and the delivery-into-a-tool model fits an ATS workflow.
Competitive intelligence and market research functions monitoring pricing pages, launches, and company changes on a schedule. Browser access covers the sources that expose no API.
Automation engineers who want persistent agents behind an API with cron-like scheduling rather than a chat window. Scale or Team throughput is the relevant gate here, not task volume.
Security-conscious engineering teams willing to run the MIT-licensed stack themselves, with the infrastructure and provider billing that implies.
Who Should Avoid Gobii?
Individuals with occasional one-off questions. A few requests a month cannot justify the $50 Pro subscription plus the monitoring overhead of a persistent agent.
Buyers who need a fixed cost per business request up front. The task and credit terminology in the official documentation does not support that promise without a measured pilot.
Procurement teams that cannot proceed without a SOC 2 artifact. Nothing public was verified in this research, so that conversation has to start with the vendor.
Teams expecting self-hosting to be free. The license is free; the infrastructure, model usage, and operations work are not.
Anyone shopping specifically for a Kimi K2.5 product. That relationship is not established by any Gobii source reviewed here.
Gobii Alternatives
Three products came up repeatedly while building this Gobii review, and one honest non-product option belongs on the list too.
| Alternative | Choose it if | Pricing (checked August 10, 2026) |
|---|---|---|
| n8n | The work is deterministic step-to-step automation and you want execution-based billing or a free self-hosted core | Starter €20 per month billed annually for 2,500 executions; Pro €50 per month billed annually for 10,000; Community Edition self-hosted at no license cost |
| Zapier Agents | You already run Zapier and want an agent layer on top of an existing app ecosystem | Agents Free at 400 activities per month; Agents Pro at $400 billed annually, listed as $33.33 per month, for 1,500 activities |
| Self-hosted Gobii | Infrastructure control and provider choice outrank operational convenience | MIT-licensed core with no vendor fee, plus buyer-paid infrastructure and LLM provider usage |
| Keeping the work manual | The job runs a few times a month and the output changes every time | No software cost, paid instead in staff hours |
The n8n automation review covers a platform that prices per full workflow execution regardless of step count, which is the opposite trap to Gobii’s per-tool-call decomposition. That single difference decides many shortlists.
The Zapier automation review covers the lighter commitment for a team already paying for Zapier, and the broader Zapier alternatives comparison maps the rest of the step-based field.
Gobii is the stronger fit when the work is genuinely browser-based and needs to persist between runs. Step-based tools win when every action already has a clean API.
Sources: n8n pricing and Zapier pricing, checked August 10, 2026.
Final Verdict: Is Gobii Worth It?
The short version of this Gobii review: Gobii is a best fit for a specific job that repeats on a schedule, has clear success criteria, and ends in a system of record. Teams with occasional work, or finance owners who need a per-request cost before anything runs, should skip it.
The main strength is persistent scheduled execution with documented approval controls, and the strongest workflow is recurring browser research delivered into a CRM or ATS. The main limitation is that task and credit accounting limits any cost forecast built before a pilot, which is the risk I would price in first.
The decision chain I would follow is short. The documented capability is a persistent agent on a cron-like schedule with browser access and connected apps, verified in official documentation.
The operating consequence is that one instruction becomes several tool calls, which sets the setup consequence: a narrow charter and a conservative daily cap on day one. The affected buyer is the small revenue, recruiting, or research team that owns the recurring job.
The trade-off is the plan gate structure: batch queueing, 50 contacts, and higher API throughput sit above Pro, and daily caps add friction to time-sensitive runs. My recommendation follows from that chain, so confirm the job repeats at least weekly, pilot it on Pro during the 7-day trial with capped additional usage, read the Usage console after a full week, then project the monthly figure.
If that projection sits under roughly 3,000 task units, stay on Pro. Above it, Scale is cheaper than Pro overages and adds batch scheduling, 50 contacts per agent, and 1,500 requests per minute, all listed on the Gobii plan comparison.
The upgrade trigger for Team is ownership rather than volume: choose that tier once two or more people must own the same agents, because five seats cost the same as Scale for half the published allowance. Buyers outgrow self-service entirely and should choose Enterprise when dedicated infrastructure, an SLA, or custom governance becomes a procurement requirement.
I recommend shortlisting Gobii when the recurring job is genuinely browser-based, and comparing it against step-based automation first when every action already has a clean API.
The renewal question to write down now: after twelve months, can you point to a job that ran unattended and show what it cost per delivered output? If the answer is no by month three, the problem is scope, not the platform.
FAQ
What is Gobii AI?
Gobii is a platform for persistent AI agents that run on a schedule, browse the web, collect structured data, and deliver results into tools such as a CRM, ATS, inbox, spreadsheet, or chat channel. Gobii Inc. positions the agents as always-on workers for recurring recruiting, sales, research, and workflow jobs rather than one-off chat sessions.
How much does Gobii cost?
Pro is $50 per month with 1,000 included tasks, and Scale is $250 per month with 10,000, per Gobii’s published pricing. Team is $50 per seat per month and adds 1,000 pooled task credits per seat.
Enterprise pricing is custom and sales-led, and all figures were checked on August 10, 2026.
Is Gobii free?
There is no free tier on the public pricing page. Pro and Scale offer a 7-day free trial for first-time customers, and Gobii says you can cancel before the trial ends to avoid charges.
The MIT-licensed core can be self-hosted without a Gobii software fee, but infrastructure and model provider costs still apply.
What counts as a task in Gobii?
Gobii’s pricing FAQ says a task is one automation job submitted to the platform and that each submission counts once. Its task documentation says a request is broken into discrete tasks and tool calls, and gives an example where one request becomes five.
Because those definitions differ, measure a representative workflow in the Usage console before budgeting.
Does Gobii have a free trial?
Yes. Pro and Scale include a 7-day free trial for first-time customers, and both plans are month-to-month rather than annual commitments.
Can Gobii be self-hosted?
Yes. The core is MIT-licensed and deploys through Docker Compose, with documented requirements of Docker configured with at least 12 GB of RAM, Git, and an API key for the LLM provider you select.
First run creates an admin account and sets the provider and model.
Does Gobii integrate with HubSpot?
Yes. HubSpot is documented as a native workspace app connected through OAuth from Settings, then Integrations and MCP, then Add Apps.
What the agent can do is limited by the connected HubSpot account, its plan, the granted OAuth scopes, and that user’s permissions.
Does Gobii have an API?
Yes. The Agent API reference covers persistent agents, cron-like schedules, activation and deactivation, messages, timelines, processing state, and browser-task inspection, with API-key authentication.
Published rate limits are 600 requests per minute on Pro, 1,500 on Scale, and 2,000 on Team.
Is Gobii secure?
Gobii documents approval requests for human input, secrets, contacts, agent spawning, and configuration changes, and directs users to supply credentials through the secret flow instead of chat. Its privacy policy describes GDPR and CPRA alignment and states the customer controls downstream personal data an agent returns.
No public SOC 2 report was found in the official pages reviewed on August 10, 2026, so request that artifact directly if your review requires it.
What happens when a Gobii agent hits its daily credit limit?
Each agent can carry a daily task credit soft limit. The agent can slightly exceed it to finish the cycle in progress, then pauses until the next day once the derived hard limit is reached, even if monthly allowance remains.
Set the daily limit from observed usage rather than an arbitrary low number.
About the author
Macedona is the founder and lead reviewer at SaaS CRM Review, where he has published 175+ in-depth reviews, pricing guides, and comparisons of CRM and SaaS tools. Each review is based on hands-on testing or verified documentation, and every article states clearly which method was used. Pricing and features are checked against official vendor sources, with the verification date noted in the article. Macedona follows a published review methodology and editorial policy. SaaS CRM Review earns affiliate commissions from some links, which never influence ratings or rankings. Read the full affiliate disclosure.
