Vera

Agent Procurement Intelligence

Agent online

Agent procurement intelligence

The layer between intent and settlementfor machine-paid APIs.

Intent · Compare · Policy · Decide · Settle · Receipt

Let agents buy what they need — without overpaying, buying the wrong tier, or settling before policy clears. Vera asks should the agent buy this? before any USDC moves.

Run the live demoSee the problem
  1. 01

    Intent

    mission → need

  2. 02

    Compare

    price · fit · latency

  3. 03

    Policy

    limits check

  4. 04

    Decide

    APPROVE · ASK · BLOCK

  5. 05

    Settle

    x402 USDC

  6. 06

    Receipt

    why it cleared

Problem

Agentic spend is scaling faster than procurement judgment

Payment rails unlock machine commerce. Without a buy decision in front of settlement, waste and policy breaches scale with autonomy.

Agents can pay before anyone asks if they should

Rails, wallets, and facilitators move money. They do not judge whether the purchase is the right one.

Authorization ≠ procurement

Caps and allowlists stop overspend. They do not compare providers, catch inflated tiers, or score mission fit.

Enterprise PO tools miss machine micropurchase

Source-to-pay suites govern human workflows. They were not built for agent↔API pay-per-request on x402.

Solution

Vera decides the buy.Then hands a clean APPROVE to the rail.

Procurement intelligence for autonomous spend — intent, comparison, and policy before settlement. Not a wallet. Not analytics after the fact.

Should it buy?

Mission alignment and provider fit — not just “can it pay?”

At what price?

Compare options so the agent does not overpay for the same result.

Under what rule?

Hard gate before x402. ASK when judgment is needed. BLOCK when it fails.

Process

Four steps from mission to receipt

The same flow as the live demo — written out. Policy decides; settlement follows.

  1. 01

    State the mission

    An agent declares what it needs — data, compute, a tool call — not which vendor to hit first.

  2. 02

    Compare options

    Vera scores providers on price, latency, and fit so the agent does not overpay for the same capability.

  3. 03

    Run policy

    APPROVE, ASK, or BLOCK before any signature. Settlement never starts on a blocked request.

  4. 04

    Settle and receipt

    Cleared buys settle over x402. Every receipt carries why it was allowed — audit-ready for the humans funding the agent.

Example use cases

Where procurement intelligence pays for itself

Any agent that shops paid APIs, tools, or data under a human-funded budget.

Research agent

Needs market data. Vera picks the cheapest fit under policy — and blocks a $3.20 premium when a $0.02 lite tier is enough.

Tool-using agent

Calls paid MCP / API endpoints. Vera compares routes and only settles when the buy clears mission and budget.

Ops agent

Buys infra or SaaS micropurchases. Humans get ASK on edge cases; routine in-policy buys auto-approve with a receipt.

Product

One gate in front of the rail

Vera sits between the agent’s mission and x402 settlement. Caps alone are not enough — quality of the buy is the product.

  • Intent → need

    Turn a mission into a priced requirement before shopping.

  • Provider comparison

    Score options together — not first-responder wins.

  • Hard policy gate

    APPROVE / ASK / BLOCK enforced before x402.

  • Settlement handoff

    Only cleared buys reach the payment rail.

  • Reasoned receipts

    Intent, verdict, and on-chain proof in one trail.

Market timing

Demand shows up as adjacent pain

The category label is early. The buyers’ problems are not.

Adjacent pain is already loud

Finance wants caps and approvals. CIOs want runtime policy. Procurement wants governed agents. That demand exists before a “Vera” label does.

Competitors validate the problem

Spend-control planes are already selling “control plane for agentic spending.” Buyers are being pitched the category — Vera sharpens the wedge.

Finance wants caps and approvals. CIOs want runtime policy. Procurement wants governed agents. Spend-control products pitching a “control plane for agentic spending” means the problem is already being sold — Vera owns the buy decision those planes leave open.

Wedge

How Vera is different

Authorization stops bad spend. Vera improves the buy itself — then settles only when it clears.

Procurement quality, not only authorization.

Vs spend-control planes: compare / fit / overpay — not just cap / allowlist / approve.

Agent↔API micropurchase on x402.

Vs enterprise PO suites: machine pay-per-request, not human source-to-pay workflows.

Vision

Every autonomous purchase is warranted before it settles.

Agents become economic actors. Rails will multiply. Vera is the procurement judgment layer — so machine commerce scales capability without scaling waste.

Mission in. Receipt out.

Watch Vera compare options, block an overpriced buy, and settle only when policy clears.

Open the procurement demo