AI Agent Tools With Usage-Based Pricing
22 of the 94 tools in our index bill by usage rather than a flat seat or subscription fee — per minute, per resolution, per token, or per dollar of compute. For 5 of them, the rate you would actually pay per unit is never published: it is set in a sales call.
On this page
"Usage-based" sounds like the transparent option — pay only for what you use, and calculate your own cost before you sign up. That holds for all but five of these 22 tools, which publish an actual number you can price your own usage against: [Vapi](/vapi) at $0.05/minute, [Bland AI](/bland-ai) at $0.14/minute, [Intercom Fin](/intercom-fin) at $0.99/resolution, [OpenAI Realtime API](/openai-realtime-api) at $32/$64 per million audio tokens, [Webhound](/webhound) from $1 for a narrow research check — a real rate card in every case, whatever the unit. [Devin](/devin) sells the meter as an allowance rather than a rate, $500/month for 250 Agent Compute Units on its Team plan or from $20/month pay-as-you-go, which is still a number you can budget against.
It breaks for the other five. [Sierra](/sierra), [Decagon](/decagon), [Ada](/ada) and [PolyAI](/polyai) each state their pricing model in the abstract — "outcome-based," "per minute," "per conversation" — then list "Custom" where the actual number should be; none publishes a rate card or offers self-serve signup, and independent purchase-data estimates (not vendor figures) are the only cost signal available for three of the four. [Zendesk AI Agents](/zendesk-ai-agents) is the more interesting case: it publishes real seat pricing ($55-$115/agent/month) and bills genuine usage on top through Verified Resolutions, but the overage rate itself — what a resolution above your plan allowance actually costs — is not stated on Zendesk's own pricing page; the ~$1.20-$1.50 figure on that listing is a third-party estimate, not a published one.
The free-tier split tracks this same divide closely: [Clay](/clay), [Manus](/manus), [ElevenLabs Conversational AI](/elevenlabs-conversational-ai) and [Genspark](/genspark) — 4 of these 22 — let you run real usage at $0 before paying anything, and all four sit in the public-rate group. None of the sales-led, custom-quoted tools offers any free tier or self-serve path at all.
By category, the filter bites hardest in [support agents](/category/support-agents): 8 of 9 bill by usage, the highest share of any category here, and support is where the outcome-based, sales-quoted pattern concentrates. [Voice agents](/category/voice-agents) contribute the same number of entries from a larger pool, 8 of 12 — per-minute billing is close to the category default there. [Research & data agents](/category/research-agents) add 4 of 11, and [coding agents](/category/coding-agents) 2 of 25.
Why this collection
A tool earns a place here if its own Published, sourced listing records `attributes.pricingModel` as `usage-based` — billed by a metered unit (minutes, resolutions, tokens, dollars of compute) rather than a flat per-seat subscription or one-time fee. Within that set, each entry's own `pricingTiers` data was read directly for whether the vendor publishes an actual per-unit number a buyer could use to estimate cost before signing up, or states the pricing model without the rate (`priceDisplay: 'Custom'`, sales-led only, no self-serve signup) — and, separately, whether an ongoing $0 tier exists (a limited free trial or one-time signup credit does not count as a free tier). Every number cited is the listing's own already-researched, sourced figure; where a figure is a third-party estimate rather than the vendor's own published number, the entry says so explicitly, exactly as the source listing does.
22 agents in this collection
Best for Engineering teams that want maximum control to build custom voice agents on their own choice of model, voice and telephony.
$0.05/min pay-as-you-go orchestration fee, with the underlying model, voice and telephony billed through on top; about $10 in free trial credits, no permanent free tier.
Best for Product and engineering teams that want a low-latency, human-sounding phone agent with flexible model and telephony choice.
$0.07-$0.31/min pay-as-you-go, with $10 in free credits and 20 free concurrent calls to start, but no permanent free tier.
Best for Security-conscious enterprises in regulated industries that want a compliant, infrastructure-owned voice platform with deterministic call flows.
$0.14/min with a $0 platform fee and no card required to start, but no permanent free tier once the starting credits run out.
Best for Developers and product teams who want ElevenLabs' voice quality and cloning as the foundation of their agent, and are comfortable assembling the rest of the stack themselves.
The one usage-based voice tool here with an ongoing free tier: 15 call minutes/month at $0, then LLM and telephony usage billed separately on top.
Best for Large enterprises that want branded, autonomous customer agents that resolve issues end to end and are willing to run a managed engagement.
Priced entirely on outcomes, a pre-negotiated rate per resolved issue, but that rate is never published; Sierra states pricing as 'Custom' with no self-serve option or free tier at all.
Best for Support teams from mid-market to enterprise that want an AI agent layered over their existing helpdesk with pay-per-resolution economics, omnichannel coverage and a built-in tuning loop.
$0.99 per resolution with a 50-resolution monthly minimum; qualifications and handoffs are billed separately at $9.99 each.
Best for Large enterprises in retail, travel, fintech, health and telecom that want a heavily-funded, actively-improving AI agent to handle high-volume customer conversations across chat, voice and email, and that can run a multi-week, engineering-supported implementation.
No published price list; a third-party cost analysis estimates roughly $50K/year platform fee plus $0.99/conversation and $0.50/resolution, not an official Decagon figure.
Best for Mid-market and enterprise support teams that want a fully outsourced, compliance-ready AI-native CX operation, including live channels, without staffing or building one in-house.
Priced per resolution from $2.99 with a 'Total Outcome Guarantee' (no charge for unresolved conversations), but no public self-serve tier; engagement starts with a paid pilot.
Best for Large enterprises running high-volume
An AWS Marketplace baseline of $150,000/year for one channel (chat or voice), then a published overage rate of $1.20/chat or $1.50/call beyond the contracted volume.
Best for Enterprises that want a long-running, well-capitalized AI support agent vendor with a public V2 REST API and an MCP server, rather than a sales-only integration surface.
No published price list; Vendr purchase-data analysis puts the median contract at $73,500/year, with independent estimates ranging roughly $30K to $300K+/year by volume.
Best for Teams that want a proven, enterprise-scale, compliance-certified voice AI vendor with a research-led model roadmap, and are prepared to start with a sales conversation: there is no self-serve or free way to trial it today.
Per-minute pricing bundling tuning, maintenance and support, per PolyAI's own pricing page, but the rate itself is never published; third-party estimates put typical contracts around $150,000/year and up.
Best for Operations and CX teams at mid-market or enterprise companies who want a visual, no-code way to design and launch phone agents without an engineering ticket.
$0.11-$0.16/min typical, billed as three separate components (voice engine, LLM, telephony); no permanent free tier.
Best for A consultant, marketer, founder or operations lead who wants research, files, code, slides and media handled in one web workspace.
Free tier included: about 100 credits/day refreshed daily with no card required, before its Super Agent workspace bills further usage.
Best for Organizations already running Microsoft Fabric or Power BI Premium capacity who want employees asking plain-English questions over governed lakehouse, warehouse, Power BI, mirrored and graph data without writing SQL, DAX, KQL or GQL themselves, and developers who want to embed that governed data access into a larger agent system via Azure AI Foundry, Copilot Studio, the runtime endpoint, or a service-principal-authenticated REST API.
Billed through Fabric's shared compute capacity rather than a per-query fee — the smallest capacity a data agent can run on costs roughly $0.36/hr (~$263/mo always-on), shared with every other Fabric workload on that capacity.
Best for Developers and technical researchers who want an agent-triggered research tool, callable via MCP from inside Claude, Codex or Cursor, that returns either a cited Report or a structured, sourced Dataset, priced transparently by the dollar rather than an opaque credit system.
Priced per dollar of compute with no subscription: roughly $1 for a narrow check, $5 for a standard cited report, scaling up from there; a one-time $5 free credit for new accounts.
Best for Support teams already committed to (or actively evaluating) Zendesk as their core helpdesk who want the AI agent to come from the same vendor and billing relationship, rather than layering a third-party agent on top.
Usage-metered on top of a per-seat plan starting at $55/agent/month, but the per-Verified-Resolution overage rate itself — roughly $1.20-$1.50 — is a third-party estimate; Zendesk does not publish the exact figure.
Best for Engineering teams building a voice agent from scratch who want to go directly to OpenAI's own speech-to-speech model (no orchestration platform, no per-minute markup) and are comfortable being single-vendor on OpenAI.
Billed purely on audio tokens with no platform fee: $32/$64 per 1M tokens for the flagship model, working out to an independently estimated $0.06-$0.11/min in production once caching is in effect.
Best for Engineering teams that want a managed speech pipeline with real LLM-provider choice, and regulated enterprises that need a self-hosted or VPC deployment option a typical closed-source voice-agent vendor does not offer.
$0.075/min down to $0.050/min depending on which components you bring your own key for; a one-time $200 credit for new accounts, no permanent free tier.
Best for Local service business owners who lose leads to slow follow-up and want phone and marketplace messages answered and booked automatically on their own calendar.
A $10/month voice number plus $1/minute of talk time, alongside separate flat monthly fees per channel (Facebook, Thumbtack, Yelp) — a mixed usage-and-subscription structure, not a pure per-minute rate.
Best for Cost-sensitive teams willing to trade code privacy for Contributor tier's roughly 12x cheaper input and 21x cheaper output, or anyone with a large multi-part refactor that benefits from several sub-agents working in parallel isolated worktrees.
$1.25/M input and $4.25/M output tokens on the Standard tier, or a steep discount on the Contributor tier in exchange for letting it train on your code.
Best for Engineering teams offloading well-scoped migration tasks without adding headcount
$500/month for 250 Agent Compute Units on the Team plan, or pay-as-you-go from $20/month on Core, billed by compute consumed rather than per seat; unlimited seats on every plan, and no confirmed ongoing free tier.
Best for Individuals and teams who want to offload whole multi-step tasks (research, simple builds, data work) to an autonomous agent rather than prompt a chatbot turn by turn.
Free tier included: about 300 daily refresh credits, roughly one task a day, before paid usage kicks in.
