FLEET-LEVEL COST AVOIDANCE

Stop paying to revalidate the same fact across your agent fleet.

Put a SeenRelay CHECK before repeated paid or slow validation. When recent matching evidence meets your policy, skip the expensive operation. Otherwise validate exactly as you do today, then OBSERVE the independently obtained result for the next run or agent.

Add it to a validation path Run Shadow Proof Client options

SeenRelay API feeCurrently $0Measure first · reuse remains caller policy

USE IT WHERE THE MATH CAN WIN

Best fit: validation work with a visible marginal cost.

SeenRelay is a preflight, not a replacement for every fetch. The protected operation should cost meaningfully more than CHECK and should repeat across runs, workers or agents.

Paid web searchSearch tool calls that are billed per request and repeat the same fact validation.

Metered scrapingCommercial scrape, proxy or fetch credits spent re-reading the same source-backed fact.

Browser / extractionHeadless browser, render or extraction work that can be skipped when policy accepts recent evidence.

Multi-step validationFetch → render → parse → model or other chains where one reusable observation can prevent the full downstream path.

Poor fit: a cheap one-off GET, a fact that almost never repeats, or a policy that requires authoritative live source confirmation on every call.

THE FLEET FORMULA

Aggregate repetition is the opportunity.

Let N be protected validations, C the marginal cost of one full validation and r the measured share of calls whose recent matching evidence your policy would actually reuse.

When the provider charge is purely usage-based and SeenRelay's current API fee is zero, the first-order direct provider-spend model is:

without SeenRelay ≈ N × C

with reusable evidence ≈ N × (1 - r) × C

gross provider spend avoided ≈ N × r × C

Then subtract your own CHECK network/compute overhead
and any fixed plan minimums.

CONCRETE LIST-PRICE ARITHMETIC

100,000 repeated validations · 30% measured reusable.

Illustrative arithmetic using public provider prices checked 26 August 2026. That 30% is an illustration, not a promised hit rate. Shadow Proof must measure your workload first.

OpenAI Web Search$10 / 1,000 calls → 100k calls = $1,000. If 30k validations are safely reusable, 70k paid searches = $700. $300 gross search-call spend avoided. Search-content token effects are excluded.

Firecrawl Pay As You Go$5 / 1,000 credits and a standard scrape uses 1 credit. 100k scrapes = $500 of purchased credits. At 30% reusable: 70k scrapes = $350. $150 gross credit spend avoided, assuming the avoided credits would otherwise have been purchased.

Browserbase ExtractPublished marginal Extract rate: $4 / 1,000 calls without proxies after plan allowance. For 100k billable marginal calls: $400 → $280 at 30% reuse. $120 gross marginal spend avoided.

Fixed-tier counterexampleFirecrawl Standard is $83/month billed yearly for 100k credits. 100k scrapes → 70k still remains inside the same tier: $83 → $83. 30k credits are freed, but the bill falls only if lower usage changes tier, overage or future capacity needs.

Price sources: OpenAI API pricing · Firecrawl pricing · Browserbase pricing. Provider pricing can change; use your invoice for production decisions. Examples exclude SeenRelay network/compute overhead, taxes, fixed plan minimums and unmeasured conditional-request savings.

RIDICULOUSLY SMALL INTEGRATION

Bind once. One line per revalidation after that.

The deterministic clients bind SeenRelay around one existing fixed-fact validation. With no reuse policy they are automatically shadow mode: CHECK runs, your original validation still runs, and OBSERVE records the independent result.

After measurement, adding a caller-approved reuse policy can allow matching recent evidence to suppress the expensive validation.

JavaScript / TypeScript

const validatePrice = relay.protectValidation({
  fact,
  validate: ({ conditionalHeaders }) =>
    expensiveValidation(conditionalHeaders)
});

const value = await validatePrice(knownValue);

PYTHON

The same bind-once pattern.

The Python helper keeps the same semantics and uses only the standard library.

from seenrelay_easy import protect_validation

validate_price = protect_validation(
    relay,
    fact=fact,
    validate=lambda ctx:
        expensive_validation(ctx.conditional_headers),
)

value = validate_price(known_value)

FOR AGENT FLEETS

One agent's necessary validation can become another agent's avoided spend.

A fleet does not need an external public network to start. The first run validates normally and OBSERVEs. Later runs in the same integration or fleet can CHECK that evidence. External observations expand coverage later.

The larger the fleet and the more duplicated the validation workload, the larger the aggregate opportunity — provided the measured reuse rate remains above your latency and cost break-even thresholds.

Agent ACHECK → UNKNOWN → paid validation → OBSERVE.

Agent BSame fact soon after → CHECK sees recent matching evidence.

Policy acceptsSkip the paid validation and reuse the already-known value.

Policy rejectsValidate normally. SeenRelay fails open and does not weaken the source policy.

PROVE IT ON YOUR BILL

Run shadow mode first. Keep SeenRelay only where your own workload shows positive value.

Implement the preflight Economics Lab