Predictika · Datadog annual-commit quotes

An AI sales agent's annual-commit quote, checked before it goes out

An AI sales agent prepares an enterprise annual-commit quote: Infrastructure and APM hosts, ingested and indexed logs, prepaid containers, a committed annual spend and a volume discount, in US dollars per year. Before it goes out, the agent sends it to Predictika, which checks it against a declarative model of the host, commit and discount rules, compares the annual total the quote states with the computed one, and returns every finding together with the line-item quote. This is an illustrative model built from public information; it is not Datadog's internal rule set.

Scope: enterprise Datadog annual-commit quotes: Infrastructure and APM hosts, logs, containers, committed spend and volume discounts. See everything this validator covers

This validator models one process: enterprise annual-commit quotes for Datadog's Infrastructure Monitoring, APM and Log Management products, including committed spend, usage beyond the commit and volume discounts. It handles any quote built from these choices, not only the scenarios shown on this page. It does not cover Datadog's other products.

  • Covered: hosts — Infrastructure Pro or Enterprise hosts and APM hosts, which must sit on Infrastructure hosts.
  • Covered: logs — ingested gigabytes and indexed events with 15-day retention.
  • Covered: containers — the allotment included with each host, prepaid containers, and an estimate of on-demand overage.
  • Covered: committed spend — minimum commit, expected spend above the commit, and a commit far above expected spend.
  • Covered: commercial terms — term, volume and term discount authority, and the annual total the agent states.
  • Not covered — Synthetics, RUM, Database Monitoring, Security products, Flex Logs, other retention periods, on-demand billing, taxes and cloud-marketplace purchases. Other areas can be added.
  • Labeled as assumptions — per-unit prices are Datadog's public list prices as read on its pricing page on October 4, 2026, and may have changed. The minimum commit, discount percentages, term bonus, sales rep authority, 125 percent headroom check and the 12 to 36 month range are invented, because Datadog does not publish them.
The AI sales agentBuilds the annual-commit quote from the conversation and says it is ready.
Predictika validatorChecks every rule at once and returns the verdict, each finding, and the computed figures.

7 scenarios in 3 groups · each group runs from the agent’s first attempt to the outcome · click one to switch

What the agent proposes

The AI sales agent says

Illustrative agent statement. The validator receives the structured request below.

Proposing agent: AI sales agent (scripted)

Before sending, the agent must call Recorded run

Predictika validator


      
Waiting for the call.

Where rules-based CPQ gets it wrong

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Our assessment of what a typical rules-based CPQ (product rules, price rules and validation rules, as in Salesforce CPQ) does with the same cases. It is a judgment about effort and reliability, not a claim that nothing can be built.

What the validator caughtTypical rules-based CPQPredictika
APM hosts that cannot exceed the Infrastructure hosts they attach toOnly with care
Comparing two quantity lines on the same quote is a cross-line check. Per-line rules do not see it, so it ends up in a summary field or custom code.
The host counts are compared on every call and the finding states both numbers.
Expected spend against the committed annual spend, in both directionsOnly with workarounds
Spend is a total over many usage lines, and the commit is a contract field. Warning that usage will overrun the commit, or that the commit is far above the spend, needs a computed total plus two thresholds.
The annual total is computed from the line items and compared with the commit; overrun and shelfware each get their own finding.
Volume discount ceiling that depends on host count and commit termOnly with care
A host-count band and a term bonus are two inputs to one ceiling. It works when every combination is entered, and drifts when a band changes.
The ceiling is derived from host count and term in one place; the rep limit, the approval band and the block are evaluated together.
Container allotment that scales with hosts and planOnly with care
The included containers depend on the plan and the host count, and prepaid containers offset the overage. The result is a gray zone between included and billed on demand.
The allotment is recomputed from hosts and plan; the overage and its estimated cost appear as an approval finding.
Stated annual total that must match the computed oneOnly with workarounds
A validation rule can compare a stated figure with a calculated one only if the stated figure is a field on the quote, which it rarely is.
The stated annual total travels with the quote and is compared with the computed one on every call.
Indexed log events that need ingested logs behind themOnly with care
The dependency between two usage lines is easy to state but is rarely enforced across products on one quote.
The two log quantities are checked together on every call.

What this validator catches: findings from its test cases

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Every rule is checked on every call, in any order the choices arrive; one problem never hides another. Blocking findings stop the quote; approval findings need a person to sign off; everything else is computed.

11,500 million indexed log events are quoted with no log ingestion; events must be ingested before they can be indexed.
21,800 containers are above the 1,500 included with the hosts; the extra 300 are billed on demand, about $438.00 a month (an estimate).
310 percent discount is above the 5 percent a sales rep can give; approvable up to 10 percent.
415 percent discount exceeds the 10 percent maximum for 600 hosts on a 12 month term.
5350 APM hosts is more than the 300 Infrastructure hosts; APM is priced with Infrastructure attached to the same hosts.
6A $12,000.00 annual commit is below the $20,000.00 minimum commit.
7A 6 month term is outside the 12 to 36 months the validator accepts.
8Expected annual spend of $231,600.00 is above the $230,000.00 commit; usage beyond the commit is billed at on-demand rates.
9Stated annual total does not match: the agent stated $442,800.00; the validator computes $376,380.00.
10The $100,000.00 commit is more than 125 percent of the $78,300.00 expected annual spend; unused commit is not refunded.
11The quote has no products or usage.

Scenarios and results

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The recorded result of the validator for each scenario on this page: the request the AI agent sent, the verdict, and every finding, in the order they appear above.

1. Volume discount and stated total: 12-month commit with a 15 percent discount

The agent's request. Quote for Halvorsen Retail Cloud on the Datadog Enterprise plan, 12-month commit: 600 Infrastructure hosts, 400 APM hosts, 20,000 GB of ingested logs and 3,000 million indexed log events (15-day retention) a month, about 6,000 containers a month, a $425,000 annual commit and a 15 percent volume discount. The quote states an annual total of $442,800.00. It is ready to send.

Verdict: Blocked.

  • Discount above the maximum. 15 percent discount exceeds the 10 percent maximum for 600 hosts on a 12 month term.
  • Stated annual total does not match. Stated annual total does not match: the agent stated $442,800.00; the validator computes $376,380.00.

2. Volume discount and stated total: 12-month commit at 5 percent discount

The agent's request. Quote for Halvorsen Retail Cloud on the Datadog Enterprise plan, 12-month commit: 600 Infrastructure hosts, 400 APM hosts, 20,000 GB of ingested logs and 3,000 million indexed log events (15-day retention) a month, about 6,000 containers a month, a $425,000 annual commit and a 5 percent volume discount. The quote states an annual total of $420,660.00. It is ready to send.

Verdict: Allowed.

  • Quote summary. Annual total $420,660.00 after discounts: infrastructure $165,600.00; APM $192,000.00; logs $85,200.00.

3. Hosts, logs and committed spend: APM on more hosts than Infrastructure, logs indexed but not ingested

The agent's request. Quote for Brightmoor Health Platforms on the Datadog Pro plan, 24-month commit: 300 Infrastructure hosts, 350 APM hosts, 0 GB of ingested logs and 1,500 million indexed log events (15-day retention) a month, about 1,800 containers a month, a $230,000 annual commit. The quote states an annual total of $231,600.00. It is ready to send.

Verdict: Blocked.

  • More APM hosts than Infrastructure hosts. 350 APM hosts is more than the 300 Infrastructure hosts; APM is priced with Infrastructure attached to the same hosts.
  • Indexed logs without log ingestion. 1,500 million indexed log events are quoted with no log ingestion; events must be ingested before they can be indexed.
  • Expected spend above the commit. Expected annual spend of $231,600.00 is above the $230,000.00 commit; usage beyond the commit is billed at on-demand rates.
  • Containers above the included amount. 1,800 containers are above the 1,500 included with the hosts; the extra 300 are billed on demand, about $438.00 a month (an estimate).

4. Hosts, logs and committed spend: Hosts and logs corrected

The agent's request. Quote for Brightmoor Health Platforms on the Datadog Pro plan, 24-month commit: 300 Infrastructure hosts, 300 APM hosts, 10,000 GB of ingested logs and 1,500 million indexed log events (15-day retention) a month, about 1,800 containers a month, a $200,000 annual commit. The quote states an annual total of $222,600.00. It is ready to send.

Verdict: Needs approval.

  • Expected spend above the commit. Expected annual spend of $222,600.00 is above the $200,000.00 commit; usage beyond the commit is billed at on-demand rates.
  • Containers above the included amount. 1,800 containers are above the 1,500 included with the hosts; the extra 300 are billed on demand, about $438.00 a month (an estimate).
  • Quote summary. Annual total $222,600.00 after discounts: infrastructure $54,000.00; APM $126,000.00; logs $42,600.00.

5. Hosts, logs and committed spend: Commit raised and containers prepaid

The agent's request. Quote for Brightmoor Health Platforms on the Datadog Pro plan, 24-month commit: 300 Infrastructure hosts, 300 APM hosts, 10,000 GB of ingested logs and 1,500 million indexed log events (15-day retention) a month, about 1,800 containers a month with 300 prepaid containers, a $230,000 annual commit. The quote states an annual total of $226,200.00. It is ready to send.

Verdict: Allowed.

  • Quote summary. Annual total $226,200.00 after discounts: infrastructure $54,000.00; APM $126,000.00; logs $42,600.00; containers $3,600.00.

6. Minimum commit: 12,000 USD commit for a 40-host estate

The agent's request. Quote for Tamarack Labs on the Datadog Pro plan, 12-month commit: 40 Infrastructure hosts, 40 APM hosts, 0 GB of ingested logs and 0 million indexed log events (15-day retention) a month, about 200 containers a month, a $12,000 annual commit. The quote states an annual total of $24,000.00. It is ready to send.

Verdict: Blocked.

  • Commit below the minimum. A $12,000.00 annual commit is below the $20,000.00 minimum commit.
  • Expected spend above the commit. Expected annual spend of $24,000.00 is above the $12,000.00 commit; usage beyond the commit is billed at on-demand rates.

7. Minimum commit: 24,000 USD commit for the same estate

The agent's request. Quote for Tamarack Labs on the Datadog Pro plan, 12-month commit: 40 Infrastructure hosts, 40 APM hosts, 0 GB of ingested logs and 0 million indexed log events (15-day retention) a month, about 200 containers a month, a $24,000 annual commit. The quote states an annual total of $24,000.00. It is ready to send.

Verdict: Allowed.

  • Quote summary. Annual total $24,000.00 after discounts: infrastructure $7,200.00; APM $16,800.00.

Narration transcript

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The text of the narrated walkthrough, step by step.

  1. Welcome to a demo of Predictika's Validator. An AI sales agent prepares an enterprise annual-commit quote: Infrastructure and APM hosts, ingested and indexed logs, prepaid containers, and more. Before it goes out, the agent sends it to Predictika, which checks it against a declarative model of the host, commit and discount rules, compares the annual total the quote states with the computed one, and returns every finding together with the line-item quote. This is an illustrative model built from public information; it is not Datadog's internal rule set.
  2. I will start with the first request by the agent.
  3. The agent says. Quote for Halvorsen Retail Cloud on the Datadog Enterprise plan, 12-month commit: 600 Infrastructure hosts, 400 APM hosts, 20,000 GB of ingested logs and 3,000 million indexed log events (15-day retention) a month. The quote states an annual total of $442,800.00. The rest of the request is on screen.
  4. Before it goes out, the agent calls the validator.
  5. Blocked, with two findings, all in one answer. 15 percent discount exceeds the 10 percent maximum for 600 hosts on a 12 month term. Stated annual total does not match: the agent stated $442,800.00; the validator computes $376,380.00.
  6. The validator returned two blocking findings in one answer. A check that reads one field at a time would pass most of this; it shows only when the choices in the quote are checked against each other and against the stated total.
  7. What this shows: for stated annual total that must match the computed one, a rules-based CPQ can do this only with workarounds.
  8. Now the agent resubmits.
  9. The corrected request. It changes the discount requested to 5 percent and the stated annual total to $420,660.
  10. It calls the validator again.
  11. This time the validator clears it.
  12. The validator also returns the line-item quote. It starts with Infrastructure Enterprise hosts (annual) and APM Enterprise hosts (annual); the other three lines are on screen.
  13. Both earlier findings are cleared, and the validator's total, $420,660.00, matches the quote.
  14. Two problems caught in one call, fixed in one pass, and a clean $420,660 quote. That is the value of Predictika's validator: catching mistakes before they reach the customer. Now you can try the other scenarios yourself.