On-Chain Carbon Analytics

Build a Dune Dashboard for IMPT Retirements in 30 Minutes

Published 2026-05-04 by the Web3 IMPT editors

Why On-Chain Carbon Retirement Dashboards Matter

Blockchain-native carbon credits solve the legacy registry opacity problem. When retirement happens on-chain, the attestation is immutable, timestamped, and queryable by any analyst with SQL fluency. IMPT retires 1 tonne of UN-verified CO₂ on-chain per booking—28× the average per-night hotel footprint. IMPT funds it from its commission, so the guest pays the standard nightly rate. This mechanic generates a growing dataset of retirement transactions that ESG teams, researchers, and auditors can independently verify.

Building a Dune Analytics dashboard gives you real-time visibility into cumulative tonnage retired, transaction frequency, regional distribution, and wallet-level attribution. Whether you are an on-chain ESG analyst validating corporate claims, a blockchain engineer benchmarking carbon protocols, or a crypto-native sustainability team preparing stakeholder reports, a custom dashboard turns raw event logs into actionable intelligence.

Dune is the standard tool for Ethereum-compatible chain analytics. Its collaborative SQL environment, pre-indexed event tables, and visualization engine let you move from schema exploration to published dashboard in under an hour. This guide walks through the exact queries, joins, and chart configurations needed to track IMPT retirements with production-grade precision.

Prerequisites and Environment Setup

Before opening Dune, confirm three things. First, you need a free Dune account at dune.com. Second, you should understand basic SQL—SELECT, WHERE, GROUP BY, and JOIN operations. Third, familiarize yourself with the IMPT smart contract address on Polygon and the retirement event signature. IMPT publishes contract addresses in its developer documentation, and the retirement event typically emits parameters like tonnage, timestamp, booking ID, and beneficiary wallet.

Dune automatically indexes Polygon event logs, so you will not manually scrape RPC nodes. When you create a new query, Dune provides access to decoded event tables if the contract ABI is already uploaded. If IMPT's contract is not yet decoded, you can submit the ABI via Dune's contract submission form. Decoding maps raw topic hashes to human-readable event names and parameter labels, which accelerates query development.

Set your workspace to Polygon mainnet. IMPT retirement transactions occur on Polygon for cost efficiency and speed. Switching networks in Dune is a single dropdown toggle. Once selected, all subsequent queries default to Polygon's indexed data.

Query One: Pulling Retirement Events

Your first query extracts all retirement events emitted by the IMPT contract. Open a new query editor and start with the base event table. Dune's schema uses a pattern like polygon.logs for raw logs or polygon.decoded_logs for ABI-decoded events. Assuming the contract is decoded, your query looks like this:

Example SQL:

SELECT
evt_block_time,
evt_tx_hash,
tonnage,
booking_id,
beneficiary_wallet
FROM polygon.decoded_logs
WHERE contract_address = '0xYourIMPTContractAddress'
AND event_name = 'CarbonRetired'
ORDER BY evt_block_time DESC;

Replace 0xYourIMPTContractAddress with the actual contract address. The event_name filter isolates retirement transactions from other contract interactions like token transfers or approvals. Column names depend on the decoded ABI—common parameters include tonnage (often in wei or fixed-point format), booking_id for hotel reservation linkage, and beneficiary_wallet for attribution.

Run the query. You should see a table of all historical retirements. Each row represents one on-chain transaction retiring one tonne of CO₂. Check the evt_block_time distribution to confirm data recency. If the table is empty, verify the contract address and event name spelling. If the contract is not decoded, switch to polygon.logs and filter by topic0 hash, though this requires manual parameter extraction.

Query Two: Aggregating Tonnage Over Time

Raw event lists are forensic tools; dashboards need aggregated metrics. Your second query calculates cumulative tonnage retired by day. This time-series view reveals growth trends and booking volume spikes. Modify the previous query to sum tonnage and group by date:

SELECT
DATE_TRUNC('day', evt_block_time) AS retirement_date,
SUM(tonnage) AS daily_tonnage
FROM polygon.decoded_logs
WHERE contract_address = '0xYourIMPTContractAddress'
AND event_name = 'CarbonRetired'
GROUP BY retirement_date
ORDER BY retirement_date;

The DATE_TRUNC function buckets timestamps into daily bins. SUM(tonnage) aggregates all retirements within each bin. For cumulative tonnage, wrap this query in a window function:

SELECT
retirement_date,
daily_tonnage,
SUM(daily_tonnage) OVER (ORDER BY retirement_date) AS cumulative_tonnage
FROM (
-- nested daily query here
) AS daily_retirements;

This produces three columns: date, daily tonnage, and running total. Visualize cumulative tonnage as a line chart. In Dune's visualization pane, select Line Chart, map retirement_date to X-axis and cumulative_tonnage to Y-axis. The upward slope demonstrates IMPT's growing environmental impact—a key metric for ESG reports and stakeholder presentations.

Query Three: Regional and Hotel-Level Attribution

Carbon retirements gain analytical depth when linked to booking geography. IMPT's smart contract may emit booking metadata like city or property ID. If the event includes a hotel_id parameter, you can join against an off-chain hotel registry or a Dune community-uploaded dataset mapping IDs to locations. For Ireland-specific analysis, filter for Dublin, Cork, Galway, or other Irish cities.

Assume the event log includes a city field. Query tonnage by city:

SELECT
city,
COUNT(*) AS total_bookings,
SUM(tonnage) AS total_tonnage
FROM polygon.decoded_logs
WHERE contract_address = '0xYourIMPTContractAddress'
AND event_name = 'CarbonRetired'
GROUP BY city
ORDER BY total_tonnage DESC;

This ranks cities by carbon retirement volume. If Dublin hotels generate high booking activity, Dublin will appear near the top. Visualize this as a bar chart or pie chart. For deeper geographic insights, add country-level aggregation or join with latitude/longitude tables for map visualizations. Dune supports map charts if you provide coordinate columns.

Hotel-level attribution requires either event-embedded property data or an external join. If IMPT publishes a public CSV mapping booking IDs to hotel names, upload it to Dune as a custom dataset and join on booking_id. This enables per-property leaderboards, useful for hotel partners tracking their environmental contribution.

Visualization Best Practices and Dashboard Assembly

With three queries complete, assemble them into a cohesive dashboard. Dune dashboards are collections of visualizations arranged in a grid. Click "New Dashboard," add your saved queries, and configure chart types. Use a line chart for cumulative tonnage, a bar chart for daily tonnage, and a table or pie chart for city distribution. Label axes clearly—use "Tonnes CO₂ Retired" for Y-axes and "Date" for X-axes. Add a counter widget for total retirements: a single-number visualization pulling SUM(tonnage) from all events.

Color consistency improves readability. Use green tones for carbon metrics to reinforce the environmental theme. Avoid red unless highlighting anomalies. Add text boxes to explain methodology—note that tonnage is UN-verified, on-chain, and funded by IMPT's commission. Include contract address and event name for reproducibility. Link to IMPT developer docs or block explorers for transparency.

Dune dashboards support parameters, which let viewers filter by date range or city without editing SQL. Wrap your queries in parameter syntax like WHERE evt_block_time >= {{start_date}} and expose a date picker in the dashboard UI. This interactivity transforms a static report into an exploratory tool.

Publish your dashboard with a descriptive title and tags like "carbon," "ESG," "IMPT," "Polygon." Public dashboards contribute to Dune's community analytics and increase discoverability. If your analysis reveals interesting trends—like a spike in retirements during a Dublin conference—share the dashboard on crypto Twitter or LinkedIn to drive engagement.

Advanced Extensions and Maintenance

Once your base dashboard is live, consider advanced features. First, cross-chain aggregation: if IMPT expands to Ethereum mainnet or other L2s, union queries across chains to report total retirements network-wide. Second, wallet cohort analysis: group beneficiary wallets by first retirement date to track retention and repeat booking rates. Third, price correlation: join retirement timestamps with carbon credit spot prices from oracles like Toucan or KlimaDAO to estimate the USD value of retired tonnage.

For ESG analysts, add compliance overlays. Query whether each retired credit links to a valid registry serial number by joining with on-chain registry attestations. Flag anomalies like duplicate retirements or tonnage mismatches. For blockchain engineers, benchmark gas costs per retirement transaction to optimize contract upgrades.

Dashboard maintenance is minimal. Dune auto-updates indexed data, so your queries reflect new retirements within minutes of transaction confirmation. Schedule weekly reviews to check for schema changes—if IMPT upgrades its contract or adds event parameters, update your queries accordingly. Pin the dashboard to your team's internal wiki or ESG reporting portal for stakeholder access.

Frequently Asked Questions

Do I need to pay for Dune to build this dashboard?

No. Dune's free tier supports unlimited public dashboards and queries. Paid plans add private dashboards, API access, and priority execution, but the core functionality described here—event querying, visualization, and publishing—is free. IMPT retirement data is public on-chain, so transparency aligns with free tooling.

What if the IMPT contract is not decoded on Dune?

Submit the contract ABI via Dune's contract decoder at dune.com/contracts/new. You will need the contract address and ABI JSON, both available from IMPT developer documentation or Polygonscan. Decoding typically completes within 24 hours. Until then, query raw logs using topic hashes, though this requires manual parameter parsing.

Can I track retirements for a specific hotel or city like Dublin?

Yes, if the retirement event emits city or hotel metadata. Add a WHERE clause filtering by city name or hotel ID. If metadata is not on-chain, you can join booking IDs with an off-chain dataset uploaded to Dune. For Dublin-specific insights, filter WHERE city = 'Dublin' and visualize tonnage trends for Irish properties.

How do I verify that the tonnage numbers match IMPT's official reports?

Compare your dashboard's total tonnage query result with IMPT's public disclosures. On-chain data is the source of truth—if discrepancies arise, check for contract upgrades, multi-contract deployments, or filtering errors in your query. Cross-reference transaction hashes in a block explorer to confirm event emission.