Feature · AI Automation Pricing

AI automation tools without the per-task credit meter.

Teams searching for AI automation tools without restrictions usually mean one of two things. One of those readings asks for an AI that will do anything regardless of safety guardrails; Strkr does not sell that and never will. The other reading asks for an AI automation platform that does not meter per task, per step, per API call, and per model invocation. That is the pricing restriction most teams actually hit, and the one Strkr removes. $50 per seat flat with no per-task meter, so a 400-step flow that runs 50,000 times a month costs the same as a 4-step flow that runs twice a day.

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What we mean by restrictions

Pricing restrictions vs safety guardrails.

Strkr draws a bright line. Safety guardrails stay: no exfiltration of PHI without a signed BAA, no outbound to unverified recipients from fresh tenants, no prompt-injection attack success path, no role bypass on the audit log. Pricing restrictions, on the other hand, are a vendor choice. Per-task meters, step taxes, operation caps, and credit overages are decisions a vendor makes to price-discriminate. Strkr skips those entirely. Flat per-seat, every AI capability on every tier, no premium meter.

Safety stays

HIPAA BAA, prompt injection defense, audit.

Safety guardrails are not up for negotiation. Strkr signs HIPAA BAAs for healthcare tenants. Prompt injection defense sanitizes untrusted content before the model sees it. The audit log is append-only with cryptographic integrity. SOC 2 Type II is in progress. The no-restrictions marketing phrase does not mean no safety. Any vendor that sells no safety restrictions is selling something a sane buyer does not want.

No per-task meter

Flat per-seat on every tier.

Strkr is $50 per seat flat on every tier. A rep running an agent 200 times a day costs the same as a rep running it twice a day. There is no credit meter that unlocks premium AI capability behind a paywall. The seat price on the pricing page is the full price for the AI capability. Admin can set per-tenant cost ceilings for safety; those are not a tier gate.

No step tax

A 400-step flow costs the same as a 4-step flow.

Flows with 400 steps that fan out through conditionals, enrichment calls, and record writes cost the same as flows with four. Credit-metered platforms charge per step and the natural result is that teams stop composing deep flows and start copying patterns. Strkr lets the flow look like the problem.

No model-call surcharge

AI calls priced inside the seat.

The reasoning node that fires a model call for every stalled deal every night does not generate a per-call line item on the invoice. Strkr absorbs the model cost inside the seat price. Teams can set a cost budget per flow and per tenant to prevent misconfiguration, but there is no vendor markup on the token itself.

No API-call cap

Record reads and writes do not meter.

Strkr record reads and writes do not meter per call. A flow that reads 50 custom fields on 10,000 accounts to recompute a risk score runs at the seat price. The common failure where a platform meters the record reads and the team ends up architecting around the meter rather than the business problem does not happen.

No connector surcharge

HubSpot, Salesforce, Slack included.

Outbound HTTP, HubSpot API calls, Salesforce reads, Slack posts, and the full connector catalog ship inside the seat price. The common failure where "premium connectors" sit on a per-connector monthly line is absent. The team that wires six integrations in a quarter spends the same as the team that wires one.

The economics of the meter

Why per-task pricing penalizes the teams that get the most value.

Per-task metering is designed to tax success. The pattern is familiar: a free tier covers a toy workload, a pro tier covers a quarterly experiment, an enterprise tier covers the first real production load, and after that the invoice scales with revenue impact. The teams that find the biggest ROI run the most volume. The teams that run the most volume pay the most meter. The incentive is backwards and every ops lead who has run a credit-metered platform at scale has the war story.

The 50k-flow surprise

The $18,000 invoice nobody budgeted.

A 40-seat SaaS runs a nightly lead-scoring flow that fires on 50,000 contacts a month across 12 enrichment steps each. On a credit meter, that is 7.2 million steps a month at $0.0025 per step, or $18,000. The budget line was $500. The invoice conversation lands on the CFO desk and the flow gets rate-limited rather than scaled.

The architecture tax

Teams stop composing deep flows.

When steps cost money, teams compose shallower flows and copy patterns rather than composing deep flows. The maintenance cost of 40 shallow flows is higher than the maintenance cost of 10 deep flows, but the credit meter made the shallow pattern cheaper. The architecture tax shows up quarters later when nobody can remember which flow owns the lead-scoring logic.

The experimentation freeze

Ops leads stop testing new agents.

Credit-metered platforms discourage experimentation because every test burns meter. The ops lead who would otherwise ship four agents a month ships one because the dry-run cost on the other three felt expensive. The platform that was supposed to accelerate automation becomes the brake on it.

The scale wall

Growth triggers a repricing.

Credit-metered platforms often reprice annually based on volume. The team that grew 60 percent year-over-year pays 60 percent more at renewal. The pricing conversation becomes the renewal conversation and the vendor relationship becomes adversarial. Flat per-seat decouples the pricing from the usage and the renewal stays about value.

The approval overhead

Every flow needs a budget sign-off.

When steps cost money, every new flow needs a budget sign-off. The ops lead who should be shipping flows is building spreadsheets to justify them. Strkr flat pricing moves the sign-off to the seat count, which is already in the HR system, and the ops lead ships without a weekly finance meeting.

The exit cost

Meter-driven architectures are expensive to port.

Flows designed around a credit meter inherit the shape of the meter. Porting them to a flat-pricing platform means redesigning the flows from the pattern up. Flows built on a flat-pricing platform port easily to a credit-metered platform (if the team ever chooses to), because the shape of the flow was never shaped by the meter.

What Strkr ships at the flat seat price

The full AI automation surface on every tier.

Every paid Strkr seat ships every AI automation capability. Nothing is behind a credit meter, a model gate, a connector surcharge, or a premium tier. The admin surface for cost ceilings and alert routing is there to catch misconfiguration, not to tax success. The pricing page is the whole price.

Reasoning node

Model calls included.

The reasoning node that calls a model with a typed context and parses a structured output runs on every tier. No premium meter unlocks it. The model cost is inside the seat. Admin can configure which model backs the node (fast vs capable, standard vs compliant) and the choice is a configuration decision, not a billing decision.

Full tool catalog

Every connector, every HTTP, every email.

HubSpot, Salesforce, Slack, Google, Microsoft, Zendesk, Intercom, and the full connector catalog ship at the seat price. HTTP nodes, email send through the compliant mail service, Strkr Messaging SMS send, and nested flow invocation are all included. No connector sits behind a per-connector monthly line.

Audit log unlimited

Every event, every write, retained.

The audit log retains every event, every tool call, every record read, every record write, every approval, and every model response at the seat price. Retention is configurable per tenant up to the compliance window. The common failure where "audit log retention" is a premium tier upsell does not happen because audit is table-stakes.

Observability included

Run page, cost dashboard, alert fan-out.

Every flow run opens on a run page with the full step graph, tokens used, tool calls made, and writes applied. The cost dashboard aggregates spend per flow, per tenant, per user. Alert fan-out routes failures to Slack, email, or PagerDuty. All included. No "observability" tier.

A/B shadow included

Prompt experimentation at the seat price.

Shadow mode runs a candidate prompt alongside the live prompt on the same inputs without writing the candidate output. The operator reviews a 100-run sample and promotes the candidate when it wins. Prompt experimentation is included on every tier because the alternative penalizes exactly the teams getting the most value.

Open API included

REST, GraphQL, webhooks, no gate.

Every record, every event, every flow run, and every audit log is accessible via REST and GraphQL. Webhooks fire on every object event. The API is included on every tier. The common failure where "API access" is a premium tier upsell gets avoided because the API is how real teams build.

The restrictions Strkr does enforce

What the flat seat price does not buy.

Strkr draws a bright line on safety. The flat seat price buys the whole AI automation surface, but it does not buy a license to exfiltrate PHI without a BAA, to send unsolicited SMS to US numbers without consent records, to bypass approval on key-account writes, or to disable the audit log. Those are not pricing tiers; they are guardrails that stay in every tenant.

HIPAA posture

PHI needs a BAA.

Tenants that process PHI must sign a Business Associate Agreement before PHI touches the AI tier. Strkr makes BAAs available to any paid tenant on request. PHI routes through the compliant model path with sealed logs. The BAA is table-stakes; the "no restrictions" marketing phrase does not override it.

SMS compliance

TCPA opt-in required.

Strkr Messaging requires TCPA opt-in records on every US number before outbound SMS sends. The AI agent that drafts a message cannot bypass the opt-in check; the compliance guard runs on the send node, not the model node. Teams that need to send compliant SMS at scale get the full tooling; teams that want to spam US numbers get a hard no.

Prompt injection

Untrusted content sanitized.

Content from external sources (inbound email, scraped web, external HTTP responses) runs through a prompt injection defense pass before the model sees it. An email with hostile instructions in the body cannot inject commands into the agent. The defense is on by default and the audit log records every sanitization event.

Approval on key accounts

Outbound to key accounts gates.

Admin can mark accounts, deals, or contacts as "key" and every outbound AI write to a key record routes to an approval. The approval posture is tenant-configurable; the capability to configure it is on every tier. The common failure where a key-account write fires without human approval and the account manager finds out from the customer does not happen.

Audit cannot disable

The audit log is append-only.

The audit log is append-only with cryptographic integrity. No role, including the root admin, can disable or redact it. The "no restrictions" marketing phrase does not override audit. Compliance teams can configure retention windows, but not retention disable.

Role bypass impossible

AI runs with acting user permissions.

Every AI agent runs with the acting user permissions. Field-level, row-level, and object-level permissions apply to AI reads and writes the same way they apply to a form. The common failure where an AI tier reads data the acting user would be denied in the UI does not happen because the authorization layer is shared.

AI automation without the per-task meter.

Strkr ships the full AI automation surface on every paid seat. Flat $50 per seat per month. No credit meter, no step tax, no connector surcharge, no model-call line item. Safety guardrails stay in every tier.

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Common questions

What buyers ask about this feature.

Does "no restrictions" mean Strkr will do anything the agent asks?

No. Strkr draws a bright line between pricing restrictions and safety guardrails. Pricing restrictions (per-task meters, step taxes, credit overages) are vendor choices that penalize success, and Strkr removes those. Safety guardrails (HIPAA BAA posture, TCPA SMS opt-in, prompt injection defense, append-only audit log, approval gates on key accounts, permission inheritance on AI reads and writes) stay in every tier. Any vendor who sells "no safety restrictions" is selling something a sane buyer does not want.

What does "flat per-seat with no per-task meter" actually cover?

Every AI automation capability ships on every paid Strkr seat at $50 per seat per month. That includes reasoning node model calls, every tool node including the full connector catalog, outbound HTTP, Strkr Messaging SMS send, compliant email send, nested flow invocation, run observability, cost dashboard, A/B shadow mode, prompt versioning, and the open REST and GraphQL API. There is no credit meter. There is no step tax. There is no connector surcharge. The seat price on the pricing page is the full price.

How does Strkr prevent a runaway agent from burning tokens overnight?

Admin can configure per-flow and per-tenant cost ceilings. The ceiling catches runaway loops in minutes and fires an alert to the configured channel. The ceilings are a safety guard, not a tier gate: they protect against misconfiguration without taxing legitimate usage. A rep running an agent 200 times a day stays well under any sane ceiling; an agent stuck in an infinite loop hits the ceiling and halts before the invoice becomes a conversation.

How does Strkr compare to Zapier, Workato, or Make.com on pricing?

Those platforms are strong at specific jobs (connector breadth, enterprise iPaaS, operation-level automation). They also charge per task, per operation, or per step. A workload that fires 50,000 times a month across a 12-step flow lands into five-figure monthly invoices on a credit meter. Strkr is $50 per seat flat with the same workload paying the seat price. The right choice depends on volume: at low volume, the credit-metered platforms can be cheaper; at any serious production volume, Strkr pricing wins by a wide margin.

Can the audit log be disabled for sensitive internal flows?

No. The audit log is append-only with cryptographic integrity. No role, including the root admin, can disable or redact it. Compliance teams can configure retention windows (shorter retention for low-sensitivity flows, longer for regulated workloads), but retention disable is not an option. The audit log is the primary evidence surface for compliance queries and the integrity guarantee holds across every tier.

What happens if we need capability that the flat seat price does not cover?

The flat seat price covers the full AI automation surface. The capabilities that sit outside the seat price are things like additional Strkr Messaging send volume (SMS carrier costs pass through at cost plus a transparent markup), additional sandboxes beyond the included allocation, and enterprise support with a named CSM. Those are usage-based rather than tier-gated. The AI capability itself is on every seat. If a use case genuinely needs capability that is not on the seat, the team gets a direct answer in the sales conversation, not a surprise in a renewal.

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