Insurance on Blockchain: Parametric Payout Architectures -- for Enterprise Insurers/Reinsurers

Parametric insurance is stepping out of the “concept” stage and into the realm of real, audited, and repeatable operations! With the right setup for your oracle, trigger, and settlement layers, we can achieve verifiable triggers, quick payouts within hours, and data governance that aligns with SOC 2 standards. Here’s a practical blueprint that links Solidity and ZK proofs to outcomes that really matter: lower Loss Adjustment Expenses, quicker liquidity, and clearer impacts on Risk-Based Capital (RBC).

Pain → Agitation → Solution, with real numbers and a deployable template

In the journey of problem-solving, we often go through a cycle that starts with pain, leads to agitation, and finally finds a solution. Let’s break this down with some real-world numbers and a handy template you can use.

Step 1: Identify the Pain

Start by pinpointing the core issue. What’s causing the discomfort or frustration?

• Example: A company might be losing customers due to slow service.

Step 2: Agitation

Once you’ve identified the pain, it’s time to dig a little deeper. Highlight the consequences of this pain, showing how it affects the broader picture.

• Real Numbers:
  • Let’s say your customer satisfaction score is at 65%.
  • If each lost customer represents $100 in revenue, and you’re losing 50 customers a month, that’s a staggering $5,000 in lost revenue every month!

Step 3: Propose a Solution

Now comes the best part--offering a solution! Outline how you plan to tackle this issue.

• Example Solution: Implement a training program to speed up service times.

Deployable Template

Here’s a simple template you can use to structure your own Pain → Agitation → Solution narrative:

### Pain:
- Describe the issue in simple terms.
  
### Agitation:
- Highlight the implications using real numbers:
  - Current metric: [Insert metric]
  - Financial impact: [Insert calculations]

### Solution:
- Propose your action plan or solution.

Conclusion

With this approach, you're not just highlighting a problem--you're making a compelling case for change, backed by solid data. Use this template to bring your insights to life, and watch the solutions unfold!

Insurance on Blockchain: Parametric Payout Architectures

In recent years, the insurance industry has been shaken up by technology, and blockchain is at the forefront of this change. One particularly exciting area is parametric insurance, which uses smart contracts to automate payouts when specific conditions are met. Let's dive into how this tech is reshaping the way we think about insurance.

What is Parametric Insurance?

Parametric insurance operates differently than traditional insurance policies. Instead of going through lengthy claim processes, payouts are determined based on predefined parameters. For example, if a natural disaster occurs, rather than assessing damages one by one, a parametric policy would automatically trigger a payout based on the occurrence of that event.

Key Benefits of Parametric Insurance:

• Speedy payouts: Since there's no need for claims adjusters, policyholders can get money faster.
• Transparency: Smart contracts on the blockchain provide a clear view of what triggers a payout.
• Reduced costs: By minimizing administrative processes, costs can be lower for both insurers and customers.

How Does Blockchain Fit In?

Blockchain technology enhances parametric insurance in several ways:

1. Smart Contracts: These are self-executing contracts with the terms directly written into code. They automatically execute payouts once conditions are met.
2. Immutable Records: Every transaction is recorded on the blockchain, making it tamper-proof and transparent.
3. Decentralization: This reduces reliance on a central authority, making processes more efficient and secure.

Real-World Examples

Several companies are already leveraging the power of blockchain for parametric insurance:

• Etherisc: They offer flight delay insurance that automatically pays out customers when flights are delayed, using smart contracts.
• Aon: This global insurance broker has developed a parametric insurance solution for natural disasters using blockchain technology.

Challenges to Consider

While the potential is huge, there are still some hurdles to overcome:

• Regulatory Issues: Different countries have varying regulations that may affect the implementation of blockchain solutions.
• Data Reliability: Accurate data sources are crucial for the success of parametric insurance. If the data is flawed, it can lead to incorrect payouts.
• Adoption Barriers: The insurance industry is traditional and slow to change, which can slow down the integration of blockchain solutions.

Conclusion

Parametric insurance powered by blockchain has the potential to revolutionize the way we think about risk management. By automating payouts and increasing transparency, it could create a smoother experience for policyholders and insurers alike. While there are challenges to tackle, the future looks bright for this innovative blend of technology and insurance.

Hook (Pain): Where Your Current Parametric Pilots Break Down

• Oracle Ambiguity: You've got a bunch of weather feeds that come with all sorts of sampling intervals and licensing quirks. This really messes things up when actuaries won’t give a thumbs up because you can’t prove immutability or clearly explain the variations among those sources.
• Trigger Disputes: When the model hits “triggered,” the legal team wants an audit trail, risk management is asking for a dispute window, and ops is inquiring about who’s responsible for overrides. It gets messy!
• Settlement Latency: Treasury is itching for T+1 liquidity, but your admin stack is stuck at T+30 due to banking rails, KYC, and reconciliation processes not being synced up with the trigger engine. That’s a bottleneck nobody needs.
• Compliance Friction: Before you can even think about production traffic, procurement is all about that SOC 2 Type II life, insisting on data residency and those regulator-facing disclosures (like New York’s new parametric disclosure law). (carriermanagement.com)

The Cost of Shipping Late--or Shipping Wrong

• Missed CAT windows = lost renewal leverage: Public facilities that use parametric structures tend to get their payouts fast--like, within days! For instance, CCRIF managed to execute payouts within 14 days, including an impressive $84.5M after Hurricane Beryl in 2024 and a record-breaking $70.8M to Jamaica following Hurricane Melissa in 2025. If you're still wrestling with CSV reconciliations by day 10, you'll have already lost the upper hand with brokers and regulators. (ccrif.org)
• Basis risk headlines: A 2025 study found that expectile-based schemes can help cut down on basis risk compared to more basic threshold methods. If you can't convincingly explain “why this payout curve” to the regulator and the insured, you’re stuck with model-risk and a hit to your reputation. (arxiv.org)
• Regulatory exposure: New York’s §3416 requires clear parametric disclosures during application and issuance. If you’re not on point with your disclosure management, it could turn into a compliance headache and even a risk for market conduct exams. (go-ires.org)
• Cost blowouts: If you're using Oracles on L1 with a basic Solidity setup, a simple trigger could end up racking up a six-figure annual gas bill. With the recent Post-Dencun EIP-4844 update, L2 storage costs have plummeted, and sticking to old methods is just wasting OPEX and hurting your business case. (blog.ethereum.org)

7Block’s “Parametric Delivery Blueprint” (PDB)

We create comprehensive parametric solutions that keep your actuaries, legal teams, treasury, and regulators on board--no smoke and mirrors here!

1) Data Plane: Signed, Redundant, and Provable

• Primary Feed: We kick things off with first-party weather providers that ensure secure delivery. Think AccuWeather’s Chainlink node, which sends out cryptographically signed payloads, or their first-party API3 Airnode. These sources are enterprise-licensed, keeping things reliable with solid SLAs and predictable sampling frequencies. Check it out here.
• Redundant Feeds: Next up, we’ve got our secondary providers through oracle networks. We bring together a mix of data from weather stations, satellites, and model reanalysis (yep, that includes NOAA/NASA/ESA via cool climate marketplaces like dClimate) to help with adjudication and backtesting. You can learn more about it here.
• ZK-Proofed Analytics (Optional but Recommended): For our more complex needs like area-yield or rainfall accumulation indices, we compute the data off-chain and use a zero-knowledge Proof of SQL. This means our on-chain contracts can verify everything’s on the up and up without peeking at the raw data. It keeps things private for licensing and gives regulators the transparency they require. Dive into the details here.

2) Trigger Engine: Deterministic, Dispute-Aware, and Gas-Optimized

• The trigger contracts are designed to:
  • Perform reliable checks based on parameters like wind, rainfall, or area-yield indices.
  • Have a flexible dispute period using UMA’s Optimistic Oracle v3 as the go-to escalation manager (the process goes from assertion → challenge → resolution by UMA voters if there’s a dispute). Check out more about it here.
• Gas Profile:
  • We’re leveraging EIP-1153 for transient storage (TSTORE/TLOAD) and EIP-5656 (MCOPY) wherever it makes sense. These updates were launched with Ethereum’s Dencun on March 13, 2024, and they really help to cut down intra-transaction state costs for complex checks. You can read up on it here.
  • After EIP-4844, we’re planning to deploy the core policy lifecycle on an L2. This will keep the costs of minting/renewing and trigger ingestion under a few cents--thanks to the blob-based cost structure which significantly reduces rollup data fees. More info is available here.
• Signed Policy Artifacts: We’re using EIP-712 typed data for underwriting approvals and endorsements that eliminate the confusion of off-chain PDF trails. You can check the details here.

3) Policy Representation: Claims-Grade Composability

So, here's the scoop on policy representation. Each policy is basically a tokenized object that comes packed with:

• Coverage metadata: This includes stuff like the location grid, index parameters, payout curve, and any exclusions.
• Beneficiary routing: We’re talking about how the benefits are directed, whether it’s to an escrow, a lender, or the cedent.
• Compliance attestations: This is where things get really official. We record KYC/KYB status and disclosures through the Ethereum Attestation Service (EAS), giving us a solid, verifiable trail that regulators can audit. Check it out here: attest.org.

And if you want a little extra layer of security, there’s also optional vaulting. You can model your premium flows and reinsurance tranches using ERC-4626 vault semantics. This makes accounting super clear and helps integrate with treasury systems. Plus, there are variants like ERC-7540 and ERC-7575 for when you need asynchronous or multi-asset setups. Learn more about it here: vault.foundation.

4) Settlement & Treasury: T+hours, Reconciled, Compliant

• Payouts: We’ve got automated payouts in stablecoins for verified beneficiaries, plus you can throw in a fiat option using bank APIs. If you need to get fancy with cross-chain or cross-venue settlements, just integrate CCIP or bank-rail orchestration. Check out more details in this Chainlink blog post.
• Controls: We're aligning our processes with SOC 2 Type II standards, which means we have detailed logs of oracle calls, signature verifications, parameter checks, and payout events. Plus, these logs are exportable for IA/IT audits and NAIC exams, covering everything from ORSA to climate-risk disclosures and new privacy laws. Learn more at KPMG.
• IFRS 17/RBC: For event-driven subledger entries--think coverage units, CSM release, and loss components--everything is generated from the same event stream that kicks off the payouts. No hassle with any re-keying!

5) Dispute Governance: Aligned Incentives

• Optimistic Flow: The system operates on a “triggered / not triggered” basis with signed proofs; counterparties have N hours to raise any disputes.
• If There's a Dispute: UMA’s DVM steps in to arbitrate. This has been put to the test in scenarios similar to insurance and across different chains. Plus, there are updates coming in 2025 to improve staking and verification incentives. (blog.uma.xyz)

6) Program Governance and Reporting

• With attestations for every key event--like underwriting approvals, parameter changes, and trigger proofs--we can create real-time dashboards that keep regulators and reinsurers in the loop. Plus, EAS provides a neutral, on-chain audit layer. Check it out at attest.org!

Practical Architecture (Reference)

• Feeds:
  • Primary: We’re pulling data from AccuWeather through either Chainlink or API3.
  • Secondary: Using backup weather providers, dClimate datasets broken down by location and time, plus satellite tracking to confirm landfalls. You can check out more about AccuWeather here.
• Compute:
  • We’ll run off-chain calculations for things like area-yield and hurricane wind field interpolation, then verify it all with ZK Proof of SQL.
  • On the blockchain, we’ll double-check these proofs and make sure they meet our deterministic threshold checks. Learn more about it here.
• Dispute:
  • We’ll use UMA OOV3 assertions with a challenge window of 24 to 72 hours. You can find additional details here.
• Payout:
  • Payouts will go through stablecoin rails, with a fallback to fiat. Additionally, a reconciliation file will be sent to the data warehouse for tracking.

Code Sketch: Trigger with ZK-Proofed Index + Optimistic Dispute

In this section, we're diving into a code sketch that showcases how to set up a trigger using a zero-knowledge (ZK) proofed index combined with an optimistic dispute mechanism. This approach helps enhance privacy and security in decentralized applications. Let's break it down step-by-step!

Key Components

1. ZK-Proofed Index: This index allows you to verify information without revealing the underlying data. It’s all about keeping things private while ensuring that everything checks out.
2. Optimistic Dispute Resolution: Instead of assuming the worst, this method lets users interact with a system under the assumption that things will go smoothly. If a dispute arises, there’s a straightforward way to address it.

Code Example

Here’s a snippet that gives you an idea of how this can come together:

// Pseudo-code for trigger setup
class Trigger {
    constructor(index) {
        this.index = index; // ZK-Proofed Index
    }

    async verifyProof(proof) {
        // Logic to verify ZK proof
        return await zk.verify(proof);
    }

    async execute(triggerData) {
        const valid = await this.verifyProof(triggerData.proof);
        if (valid) {
            // Proceed with the trigger action
            console.log("Trigger executed successfully!");
        } else {
            // Handle optimistic dispute
            console.log("Proof invalid, initiating dispute resolution...");
            await this.handleDispute(triggerData);
        }
    }

    async handleDispute(data) {
        // Logic for optimistic dispute resolution
        console.log("Resolving dispute for:", data);
        // Further dispute handling...
    }
}

Explanation of the Code:

• Trigger Class: This is where all the magic happens. We set up a constructor that takes the ZK-proofed index as an argument.
• verifyProof Method: Here, we’ll check if the proof is valid. If everything checks out, we’re good to go!
• execute Method: This method runs the actual trigger action. If the proof fails, we kick off the dispute resolution process.
• handleDispute Method: This is where you’d put your logic for addressing any disputes that pop up.

Conclusion

To wrap it all up, using a ZK-proofed index with an optimistic dispute mechanism can really take your decentralized application to the next level. It offers a blend of privacy and efficiency that’s tough to beat. Feel free to tweak the code to better fit your specific needs!

For more detailed insights, you can explore our documentation or check out the GitHub repository. Enjoy coding!

// SPDX-License-Identifier: BUSL-1.1
pragma solidity ^0.8.24;

// Simplified interfaces (illustrative)
interface IZKProofVerifier {
    function verifyProof(bytes calldata proof, bytes32 queryHash, bytes32 resultHash) external view returns (bool);
}

interface IUMAOOv3 {
    function assertTruth(bytes calldata claim, address asserter, address callbackRecipient, address escalationManager, uint64 liveness) external returns (bytes32 assertionId);
}

contract ParametricTrigger {
    using FixedPointMath for uint256;

    IZKProofVerifier public verifier;
    IUMAOOv3 public oo;
    address public treasury;
    uint256 public threshold;      // e.g., mm rainfall or expectile result scaled
    uint64  public livenessSecs;   // UMA dispute window

    // EIP-1153 opcodes used in inline assembly for transient caching
    bytes32 private constant _TSTORE_SLOT = keccak256("pdb.tstore.slot");

    event TriggerProposed(bytes32 policyId, uint256 indexValue, bytes32 assertionId);
    event PayoutAuthorized(bytes32 policyId, uint256 amount);

    constructor(IZKProofVerifier _verifier, IUMAOOv3 _oo, address _treasury, uint256 _threshold, uint64 _liveness) {
        verifier = _verifier;
        oo = _oo;
        treasury = _treasury;
        threshold = _threshold;
        livenessSecs = _liveness;
    }

    function proposeTrigger(bytes32 policyId, bytes calldata proof, bytes32 queryHash, uint256 indexValue, bytes calldata payoutCalldata) external {
        // ZK proof attests: "indexValue = f(data)" where data remains private
        bytes32 resultHash = keccak256(abi.encode(indexValue));
        require(verifier.verifyProof(proof, queryHash, resultHash), "Invalid ZK proof");

        // Transient cache (EIP-1153 TSTORE) to avoid storage writes before dispute window passes
        assembly {
            // tstore(key=policyId, value=indexValue)
            tstore(policyId, indexValue)
        }

        // Assert via UMA OOv3 (anyone can dispute within livenessSecs)
        bytes memory claim = abi.encode(policyId, indexValue, payoutCalldata);
        bytes32 assertionId = oo.assertTruth(claim, msg.sender, address(this), address(0), livenessSecs);

        emit TriggerProposed(policyId, indexValue, assertionId);
    }

    // UMA callback pattern omitted for brevity; assume no dispute after livenessSecs:
    function finalizePayout(bytes32 policyId, uint256 payoutAmount) external {
        uint256 cachedIndex;
        assembly {
            cachedIndex := tload(policyId)
        }
        require(cachedIndex >= threshold, "Not triggered");

        // Route funds to treasury/beneficiary escrow; integrate with CCIP/bank rails off-chain
        // ...
        emit PayoutAuthorized(policyId, payoutAmount);
    }
}

• Notes:
  • With ZK-proof verification, data ingestion and verification are totally separated. UMA steps in with the economic safety net, and there's no need to hardcode any providers.
  • Transient storage is a game changer! It helps lower gas fees by skipping those persistent SSTOREs until the dispute window wraps up (this is happening after Dencun). Check it out more at the Ethereum blog.

What “Good” Looks Like: The External Benchmarks

• Arbol really stepped up by executing $10M in parametric reinsurance payouts for Hurricane Ian in just three weeks (2022), and they nearly hit $20M within 30 days after Hurricane Milton (2024). These timelines are the real deal--definitely something to aim for in actual production, not just some flashy pilot projects. (arbol.io)
• CCRIF has set the bar with their awesome habit of disbursing funds in under two weeks. This shows that parametric liquidity can totally work at scale for governments and utilities (2024-2025). (ccrif.org)
• On the infrastructure side, Ethereum’s Dencun upgrade (March 13, 2024) brought us EIP-4844 blobs (which means cheaper L2 data) and EIP-1153 for transient storage. These are two keys we’re using to lower costs per policy and per trigger. (blog.ethereum.org)
• For enterprise needs, AccuWeather’s got it covered with signed oracle delivery and API3 Airnode backing first-party, licensable feeds. Plus, UMA OOv3 introduces a dispute court, and EAS offers attestations for audits. (corporate.accuweather.com)

Emerging Best Practices We’re Adopting Now

• Expectiles over step functions: We're swapping out cliff triggers for expectile-based payout curves. This helps cut down on basis risk and adverse selection, plus it’s easier for insurers to explain the calculations and document their calibration. Check it out here: (arxiv.org).
• ZK proof of analytics, not raw data: Instead of dealing with raw data, we're proving SQL over NOAA/ESA datasets through Space and Time. This way, the legal team can stick to the licenses, and regulators can still verify the outcomes. More info here: (docs.spaceandtime.io).
• Typed attestations for everything: We’re using EAS to attest to underwriting approvals, oracle sources, and versioned trigger definitions. This helps establish a clear chain of custody for regulators without putting any personally identifiable information at risk. Learn more: (attest.org).
• Multi-oracle quorum with optimistic fallback: We’re setting up a primary source with signed inputs and a quorum from secondary sources, plus using UMA for escalation. This strategy helps us avoid relying on a single provider while keeping costs in check. Details can be found here: (docs.uma.xyz).
• Gas optimization post-Dencun: We’re all about optimizing gas costs with TSTORE/TLOAD for caching, MCOPY for efficient memory transfers, and EIP-712 for signature processes--all set to roll out on a budget-friendly L2. Read more about it here: (blog.ethereum.org).

GTM and ROI Model (What Your CFO and COO Care About)

• Time-to-payout:
  • Target: We aim for payouts within T+6-24 hours for undisputed triggers. This is pretty competitive when you look at public parametric programs that typically pay out in about 14 days and private ones that take around 3 weeks. The difference boils down to automated proofs, dispute windows tailored to your risk appetite, and pre-wired treasury rails. Check it out here: (ccrif.org)
• Loss Adjustment Expense (LAE):
  • Objective: We’re looking to move away from the old-school manual FNOL (First Notice of Loss) and field adjusting to snappier automated oracle proofs. This shift should lead to some nice line-item LAE reductions on parametric books where payouts are straightforward and mechanical.
• Procurement and Compliance:
  • We’ve got a strong focus on SOC 2 Type II-aligned logging and access controls, plus we’re mapping to ISO 27001 for how we handle data. And when it comes to state filings, we’re all set with deterministic artifacts, including the New York §3416 disclosures that are embedded right at the bind/issue stage. More details here: (go-ires.org)
• Capital and Reporting:
  • IFRS 17: The same on-chain and attested events are what drive CSM (Contractual Service Margin) release and coverage unit tracking.
  • RBC: Thanks to deterministic triggers, we get a much clearer volatility profile. This makes for smoother conversations with rating agencies and helps in layering reinsurance effectively.

Implementation plan (90-180 days)

Days 0-30: Discovery and calibration

• We’ll kick things off by collaborating with the actuarial team to define the index and payout curve. Meanwhile, the legal team will review provider licenses and disclosures. We’ll also identify the data sources for instruments, with AccuWeather as our main source and some secondary feeds. If needed, we’ll scope out the ZK pipeline. You can find more about AccuWeather here.

Days 31-60: MVP build

• During this phase, we’ll roll out the attestation schemas (EAS) to manage approvals and disclosures.
• We’ll implement a trigger engine using UMA OOv3 escalation. This will be connected to Layer 2 with Dencun economics, and we’ll set up the signed oracle routes. You can check out more details in the UMA docs here.

Days 61-90: Pilot and controlled launch

• Our goal here is to bind between 500 and 5,000 policies. We’ll run some shadow triggers for about 2 to 4 weeks. During this time, we’ll dry-run treasury disbursements and back-office reconciliations. Don’t forget, we’ll also capture evidence for SOC 2 compliance.

Days 91-180: Scale and reinsure

• Finally, we’ll integrate with reinsurance capacity. If it makes sense for treasury and risk transfer, we’ll tokenize premium and payout flows into vault structures. Lastly, we’ll publish the program KPIs for the board’s review.

How We De-Risk Delivery at 7Block Labs

• Build-with-compliance: We make sure to deliver artifacts that your compliance team can actually use--think attestation documents, oracle proof specs, and signed EIP-712 records--right alongside our code.
• Zero black boxes: Our contracts are fully deterministic, so there are no surprises. We keep everything transparent with documented data lineage, UMA-based dispute recourse, and ZK-proof verifiers that are open-sourced for easy auditing. Check it out here: docs.uma.xyz.
• Vendor-risk ready: We’ve got your back on vendor risk! We align our processes with SOC 2 controls, use least-privilege key management, and ensure our release processes are auditable, so your procurement team can confidently approve.

Relevant services you can plug today

• Smart contracts, triggers, and vaults: Check out our offerings in smart contract and dApp development.
  • Smart contract development
  • dApp development
• Oracles, ZK analytics, and integrations:
  • Blockchain integration
  • Web3 development services
  • Cross-chain solutions development
• Security and audits (including pre-SOC 2 evidence capture):
  • Security audit services
• Bringing capital to market (if you're launching new MGA/MGU products):
  • Fundraising
• End-to-end blockchain platforms for insurance operations:
  • Custom blockchain development services
  • Asset tokenization and treasury rails

Case-in-point configurations (you can adopt now)

• Hurricane named-storm coverage:
  • Trigger: This kicks in based on where a hurricane makes landfall and the maximum sustained windband along its path. We get our primary data from the signed provider, and for backup, we use satellite datasets to validate the track.
  • SLA: If there's a dispute, you have a 24-48 hour window to sort it out; if everything's clear, we’ll handle auto-payouts. If there's an issue, it escalates to UMA.
  • Public comps: Take a look at Arbol’s payouts from Hurricane Ian, which wrapped up in three weeks, and their under-30-day payouts for Milton. These show how quick we can be with reinsurance layers when our triggers are straightforward and processes are automated. (arbol.io)
• Area-yield crop programs:
  • Trigger: We rely on yield indices based on sampling and use ZK proofs of aggregation to keep farmers' personal info off the chain--privacy is key!
  • Governance: Sampling plans and surveyors are attested via EAS, and any disputes are sorted out through UMA OOV3.
  • Ecosystem reference: Lemonade’s coalition looked into area-yield and automated claims as their main design elements. Etherisc also jumped in early with index-based products and an automated flight-delay system as prototypes. (lemonade.com)
• Government liquidity covers:
  • Trigger: This one is all about the modeled loss from tropical cyclones and excess rainfall parameters.
  • SLA: The public benchmark is to be Treasury-ready within 14 days. Your setup should aim to be faster with pre-approved beneficiaries and on-chain attestations. (ccrif.org)

Why Now

• Cost curve inflection: With Dencun's EIP-4844, storing data on Layer 2 has become way more affordable. Plus, with TSTORE/TLOAD, runtime costs have taken a nosedive. This means you can manage solid portfolios on-chain without worrying about crazy budget spikes. You can read more about it here.
• Oracle maturity: We’re starting to see some really reliable first-party signed weather feeds out there. UMA’s V3 is all set to handle disputes in production, and EAS boasts millions of attestations now. This is all serious business, not just some experimental phase. Check out more details here.
• Market proof: Both public facilities like CCRIF and private platforms such as Arbol have shown they can deliver fast payouts after major events. The go-to-market risk is now much lower than it was just two years ago. For a deeper dive into this, take a look here.

Your Next Step

If you're looking for a pilot that can navigate procurement hurdles, meet legal requirements, and win over actuaries, we've got you covered. We'll provide a parametric stack that includes verifiable triggers, transparent processes, and measurable ROI.

Schedule Your 90-Day Pilot Strategy Call

Ready to kick off your project? Let’s dive into a 90-Day Pilot Strategy Call!

References and Notes

• Dencun kicked off on the Ethereum mainnet on March 13, 2024. This update includes EIP-4844 blobs and EIP-1153 transient storage, which are pretty crucial for the gas economics in parametric workflows. You can read more about it here.
• EIP-4844 is a game changer when it comes to lowering Layer 2 fees by shifting rollup data into blobs. In some cases, we've even seen fee reductions drop to below a cent. Check out the details here.
• If you're looking for insights on UMA Optimistic Oracle v2/v3, including a quick start guide for developers, look no further than their documentation.
• AccuWeather has teamed up with Chainlink nodes and API3 Airnode for delivering weather data, making blockchain applications based on weather a reality. Get the scoop here.
• Want to dive into ZK proof of analytics? Check out the Space and Time Proof of SQL and their Google Cloud BigQuery integration patterns for enterprise data. More info is available here.
• Keep an eye on CCRIF payouts and timelines for 2024-2025, as there are some record payout announcements coming up. You can learn more here.
• New York Insurance Law §3416, which focuses on parametric disclosures, is set to take effect on January 12, 2025. For details, check out this link here.
• There’s some interesting research on expectiles for minimizing basis risk in parametric design, set to be explored in 2025. You can find this research here.

Book a 90-Day Pilot Strategy Call

Ready to kick things off? Schedule your 90-Day Pilot Strategy Call today! Let's dive into how we can work together and make your project a success. Just hit the link below to secure your spot:

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