DataGrout.ai Logo
Platform fees reflect current platform economics ยท model costs are illustrative

DataGrout Credits Usage Examples

The Credit Calculation Model

Unit of account

One fixed number, platform wide. Enter it whichever way you think about it โ€” all three are the same value.

$ per credit

0.002

credits per $1

500

$ per 1,000 credits

2

Charges always round up to whole credits, so this is also the smallest amount anything can cost: a call with $0.000200 of real cost still bills 1 credit ($0.002000). A smaller peg makes that rounding finer.

Platform fees

Flat charges that ride on top of cost recovery. They apply to every call that crosses the gateway, whatever the tool behind it.

Gateway base (credits)

1

Auth, materialization, policy, cadence and receipts. Never waived.

Discovery premium (credits)

2

Charged on top of the gateway base.

Discovery call (credits)

3

The base plus the premium, on a call that needs discovery.

Refraction

A new refraction is a flat 5 credits. Any model cost above the allowance is added on top of it, rounded up to a whole credit.

Refraction (credits)

5

Flat price for a new refraction.

Model allowance (credits)

0

Model calls up to this are already covered by the flat price.

If model calls costSurchargeRefraction charges
0 credits05
1 credit16

Margin policy

Applied on top of cost recovery. Recovery itself is not tunable โ€” an LLM call always covers its own tokens.

Profit margin (billed)

1.5

+50% on cost ยท 33.3% gross

Estimate bound (not billed)

1.5

Pre-flight ceiling only. Never charged.

Comped classes

1.0 means fully comped โ€” the user pays nothing for that class of work.

Embeddings

1.0

Fully comped โ€” the user pays nothing.

Annotations

1.0

Fully comped โ€” the user pays nothing.

The charge is still computed so a receipt can show the value given, e.g. 0 (1 back). Turning a class off is a settings field, not a deploy.

LLM passthrough is never comped โ€” the 1.5 margin is where the platform's margin on tokens comes from.

Search provider

A search provider is priced per query, with a recovery floor set in credits. Charging a credit price and charging a multiple of what it costs us are the same setting โ€” set one and the other follows.

Cost per query

$0.01

$150 buys 15,000 searches.

Recovery floor (credits)

5

Credits to break even on the query.

Charge (credits)

0

What the user pays.

or ร— the floor

0

The floor multiplied by the charge.

Absorbed โ€” recorded as cost with no recovery.

What these settings do

Recomputed live from the values above, before anything is saved.

recovery = provider cost รท $0.002 ยท charged = recovery ร— 1.5, rounded up to a whole credit โ€” roughly 750 credits per dollar of provider cost.

ScenarioProvider costRecoveryChargedEst. ceiling

One SerpAPI search

$150 buys 15,000 searches

$0.0100588

$2.00 of LLM usage

provider cost

$2.00100015001500

gpt-4.1-mini ยท 1k in / 500 out

gpt-4.1-mini rates

$0.0012000.611

claude-opus-4 ยท 10k in / 2k out

claude-opus-4 rates

$0.0400203030

Embedding ยท 1k tokens

text-embedding-3-small ยท comped in full

$0.0000200.010 (1 back)1

Search is shown at the 1.5 floor. Whether search is charged or absorbed is a provider setting โ€” an absorbed call is recorded as cost with no recovery.

Fixed Costs

Base control plane call

1 credit

Includes:

  • -Auth, materialization, policy, cadence and receipts
  • -Never waived โ€” every call that crosses the gateway pays it
  • -Deterministic tools simply add nothing on top of it

Discovery engine

3 credits

Includes:

  • -2-credit premium on top of the 1-credit base
  • -Semantic search across tool surface
  • -Prolog planning and path optimization
  • -Type inference and adapter generation
  • -CTC safety verification
  • -Pareto-optimal route selection

Skill minting

~10 credits

Includes:

  • -Extracts parameterized workflow
  • -Generates reusable MCP tool
  • -Caches plan and adapters
  • -Creates organizational asset

Multi-agent coordination

~2 credits per agent

Includes:

  • -Agent bidding protocol
  • -Plan comparison
  • -Optimal agent selection

Variable Costs (Cost Recovery + Margin)

LLM calls

  • -Formula: recovery = provider cost รท $0.002, then charged = ceil(recovery ร— 1.5) โ€” always a whole credit
  • -Rule of thumb: charged โ‰ˆ provider cost ร— 750, rounded up
  • -Rates come from the same model dataset the LLM Cost Calculator uses
  • -LLM passthrough is never comped โ€” the 1.5 margin is where the platform's margin on tokens comes from

Embeddings

  • -Comped in full: the charge is computed, then given back โ€” net 0
  • -The receipt still shows the value given, e.g. 0 (1 back)
  • -The gateway base still applies to the call

External APIs (SERP, etc.)

  • -Charged either as a credit price or as a multiple of what it costs us โ€” the two are the same setting
  • -Absorbed calls are recorded as cost with no recovery

BYOK (Bring Your Own Key)

  • -LLM costs: 0 credits โ€” there is no passthrough to bill
  • -The gateway base and any discovery premium still apply
  • -Example: the discovery workflow below drops from 6 credits to 3

Caching & Optimization

  • Cached embeddings: 0 credits โ€” embeddings are comped in full
  • Cached LLM responses: 1 credit โ€” the gateway base for the call that crosses it
  • Cached discovery plans: 1 credit โ€” the premium is skipped, the base is never waived
  • Compiled skill execution: 1 credit plus the model cost of the run

Approx. costs provided in estimate and actual costs shown in receipt

Example Workflows

We use cookies to improve your experience, analyze site traffic, and serve personalized content. By clicking "Accept All", you consent to our use of cookies. See our Privacy Policy for details.

Ask the Advisor