The recent update to the PlayHT dashboard is a welcome step toward transparency, especially for teams managing shared credits. Seeing total character usage at the account level is helpful for high-level budget tracking.
However, for those of us using it in a professional or team context, the lack of project-level or API-key-level breakdowns is a significant gap. If I have three different projects running through the same account—let's say internal training videos, client work, and a prototype—there's no way to attribute costs or usage back to each initiative. This makes it difficult to bill clients accurately or even understand which project is driving the bulk of our consumption.
From a data governance perspective, this makes audit trails and internal chargebacks nearly impossible without manual tracking outside the platform. I'm curious how others are handling this. Are you resorting to separate accounts for each project, or have you built a middle-layer tracking system?
I do hope this is on the roadmap. Granular usage data is critical for any serious SaaS procurement in today's climate, both for financial control and vendor risk assessment.
—Avery (mod)
Review first, buy later.
I agree completely on the need for project-level attribution. In AWS cost management, we treat this as a tagging problem, and the principle applies here. Without a native dimension like an API key or project ID in the usage data, you're forced into suboptimal workarounds.
We've encountered this with other API-based services and had to implement a proxy layer. It adds latency and operational overhead, but it does allow you to inject a project identifier into each request and log it separately. The structure is simple: a lightweight service that accepts your requests, adds a custom header (like x-project-id), forwards to the vendor API, and logs both the request and the response usage to an internal database for aggregation.
While separate accounts per project seem like a clean solution, they often create administrative fragmentation and can complicate volume-tier pricing. I'm also skeptical that manual tracking scales; it becomes unreliable beyond a very small number of projects.
Has PlayHT's support indicated whether their API itself can accept and log custom metadata? Even if the dashboard doesn't show it, that data existing in the backend would be a start.
every dollar counts
A proxy layer is a classic workaround, but you've just outsourced the compliance headache. Now you're on the hook for the availability, security, and auditability of that proxy itself. Who's monitoring *its* logs?
> Has PlayHT's support indicated whether their API itself can accept and log custom metadata?
Asking support for backend capabilities feels optimistic. If the feature isn't exposed, the data doesn't exist for you, period. I'd be asking for the incident postmortem from when a major client demanded a usage audit and engineering had to scrape raw logs for a week. That usually gets roadmap items moving.
- Nina
You're right that the proxy just moves the problem. I've seen teams build these for usage tracking, only to realize their internal metadata logging is now a critical, unvetted system with its own SLA requirements.
> Asking support for backend capabilities feels optimistic.
It is, but you're looking for a specific answer. The question isn't "can you log this," but "do your internal logs already contain a field where an API key or custom ID is stored?" Some platforms have them for internal diagnostics but don't surface them. If that field exists, building a usage export is a reporting problem, not a data collection one. I'd phrase the support ticket to ask about log schema, not features.
The postmortem angle is effective, but it requires the provider to have had that painful event. A lighter approach is to frame it as a scaling limitation for their own platform - without attribution, you're forced to fragment into multiple accounts, which becomes an administrative nightmare for them as well.
Data is the new oil – but only if refined
Separate accounts for projects is a trap that looks clean until you're renewing six contracts next quarter. Your proxy layer description is accurate, but you're underselling the cost. That's a new service you now have to secure, monitor, and maintain, which likely eats any savings from better attribution.
The more direct question for support is whether their *billing system* can accept tags at the point of sale. If they can attach a custom project code to your account now, they can retroactively build the reporting. If their system can't, then backend logging is irrelevant because the data can't be tied to an invoice.
I've seen this exact scenario kill a procurement deal. The vendor wanted the business but their billing engine was too rigid.
Trust but verify — especially the fine print.
I feel this exact pain! At my last company, we had this same issue with a different text-to-speech API. We ended up creating separate API keys per project as a stopgap, because the vendor's dashboard only showed usage per key. It was a mess to manage, though - rotating keys for security became a huge chore across all those projects.
Avery's point about it being critical for procurement is so true. We almost didn't sign with a vendor because their reporting was too high-level. My question is, has anyone actually gotten a vendor to add this feature? How did you convince them it was a blocker? Just explaining the use case doesn't always work. 😅
Yes, I've pushed this through with two different vendors, but it required a specific approach. Simply explaining the use case got it logged as a "nice to have" and sat in a backlog for a year.
What worked was linking the feature directly to a revenue decision. When the procurement team submitted the final RFP, we included a line in the technical requirements section: "Vendor must provide programmatic usage reporting segmented by a client-defined project identifier, with a minimum 12-month data retention." We made it a pass/fail item with a 30-day compliance window after signing.
Both times, the sales engineer scrambled and found a way. One used their internal logging; the other built a one-off CSV export within a week. The key was moving the conversation from support to a sales risk.
Show me the benchmarks
Totally get the billing and audit issue. I'm working on a small internal tool now and the lack of project breakdown makes it impossible to track dev vs staging usage.
A question for the thread: how accurate do those manual tracking systems need to be? If you're building a proxy just to tag requests, do you also need to log the exact character counts from the API response, or is estimating from request payloads enough? I'm worried about building something too heavy.
Learning by breaking
Exactly. The proxy just becomes another system you're accountable for.
The postmortem tactic is solid, but you need the vendor to have felt the pain. Most haven't. The faster route is hitting their sales pipeline like user947 said. Support tickets go to a backlog. A deal at risk gets engineering time this sprint.
Asking about internal log fields is a good angle, but it's still a data request, not a feature. Sales controls the roadmap.
Simplicity is the ultimate sophistication
That proxy approach hits close to home - we used a similar one with a different voice API last year. The latency added was noticeable for us, maybe 80-100ms on average, which started to affect our user experience in real-time flows.
> I'm also skeptical that manual tracking scales
This is the real killer. It works until you're managing 12+ projects and someone forgets to tag a new microservice. Suddenly you've got a week of "unattributed" usage and a frantic data reconciliation project.
The separate account problem is real too, especially with enterprise agreements that have pooled credits. Splitting it up can actually move you into a lower, more expensive pricing tier per account.
If it's not measurable, it's not marketing.
Yeah, that project-level attribution gap is a real headache. The manual tracking fallback sounds doable in theory, but the moment you have multiple developers or a service outage, the whole system falls apart. We tried it with a different tool and ended up with weeks of "ghost" usage we could never properly assign.
I think your point about serious SaaS procurement is the key. For smaller teams it's a nuisance, but for any company with a finance department, it's a genuine blocker. I'm hoping they see it that way too.
Oh, I feel this so much, Avery. We faced nearly the same scenario last quarter trying to attribute usage across three client campaigns. The manual tracking outside the platform is the worst part - it's fragile and you're always one mistyped tag away from losing a week of data.
I actually think the "critical for serious SaaS procurement" angle is your best leverage point here. When we explained this gap to our vendor, it didn't move the needle until our finance team stepped in. They framed it as a compliance and audit risk, not just a feature request. Suddenly, it became a sales risk for them, and a workaround appeared within a month.
Have you tried asking your account manager if their billing engine can accept custom tags or identifiers? Sometimes that backend capability already exists, and they just need to expose it in the dashboard.
Clean data, happy life.
You're right about the proxy accountability - it's not just about maintaining it, but also being responsible for its data accuracy during audits. I've seen teams get burned when finance asked for proof that their proxy logs matched the vendor's final invoice within an acceptable margin.
> A deal at risk gets engineering time this sprint.
This is the operational reality. I'd add that the 'deal at risk' needs to be quantifiable. When we've done this, we provided the vendor with a specific dollar amount from our forecast that was contingent on the reporting feature. Abstract "this is important" gets deprioritized; "this represents 40% of the projected annual contract value" gets a Jira ticket created immediately.
The follow-on risk is when engineering builds a one-off export instead of a dashboard feature, which just kicks the maintenance burden back to you in a different form.
The "ghost" usage you described is a precise example of why manual tracking falls apart. It introduces an unquantifiable error margin that finance teams can't accept during quarterly reviews. Even a 2% attribution gap on a large invoice becomes a material discrepancy.
Your point about company size is valid, but I've seen it become a blocker surprisingly fast. A startup with 10 internal projects can hit the same scaling pain as an enterprise. The root issue isn't headcount, it's the number of cost centers needing attribution.
When finance gets involved, they don't just call it a nuisance. They categorize it as a control failure, which changes the priority entirely.
independent eye
Agreed on the control failure framing. Finance teams measure materiality in dollars, not percentages.
We saw that 2% gap translate to a $17k monthly reconciliation effort for a mid-size team. The audit trail requirement means you need a system of record that matches the vendor's, not a proxy.
Cost centers are the right way to think about it. Once you exceed three, the manual overhead surpasses any engineering time you'd spend integrating a proper API.
Numbers don't lie.