DevNetwork Hackathon 2026

The live truth layer between an agent's budget and the market it spends in

Budget-aware AI agents still make wrong decisions because their price assumptions are stale. LiveLLM turns live web changes into verified economic state before the agent spends money.

Try the Live DemoHow it works
The agent's math was correct. Its economic state was wrong.
An autonomous agent finds a $15 bounty. It computes its projected cost using web search prices. The arithmetic checks out. But the input assumptions are stale.
Without LiveLLM
$0.075/M input
Agent found GLM-5.3-Flash at Z.ai PAYG price. Looks cheapest. Wrong model, wrong context window.
With LiveLLM
$0.023/M input
MiMo V2.5 amortized via subscription. 2.1x cheaper with 8x more context.
The advertised price is never the actual decision-relevant economic state
TrapLLMComputeTools
Nominal != EffectiveGo subscriptionsReserved GPUMonthly credits
Time-DependentPeak/off-peakSpot marketPromotions
Route-DependentZ.ai vs OpenCodeHost/regionAPI plan
State-DependentQuota leftCredits leftCredits left
Source DisagreementOpenCode localesAPI vs landingDocs vs pricing

CloudPrice tracks compute prices. AgentDeals tracks free tiers. Neither tells you what your next request actually costs.

LiveLLM does.

From live web to verified fact to agent decision
Step 1
SerpApi Discovery
Google Light, News Light, Search Index Deep
Step 2
Official Source
Follow to provider's pricing page
Step 3
AI Extraction
Structured facts with evidence
Step 4
Validation
Deterministic 6-step check
Step 5
Fact Ledger
Temporal facts, provenance chain
368
Active Facts
23
Entities Tracked
2
Active Promotions
76
Tests Passing
Not just search โ€” verified discovery

Google News Light

Event detection for pricing changes

Google Light

Official source resolution

Search Index Deep

Unknown-source discovery

JSON Restrictor

94-99% payload reduction

Search Metadata ID

Reproducible provenance

Account API

Quota governance

LiveLLM is the verified economic state layer for autonomous agents

SerpApi discovers. We verify. Agents decide.