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catalog / Finance / Ethereum ETL — On-Chain Data Pipeline
⬡PipelineFinanceFree

Ethereum ETL — On-Chain Data Pipeline

Extracts blocks, transactions, token transfers, receipts, and logs from Ethereum into CSV/JSON or warehouses for on-chain analytics.

@ai-supply
Installationen6.9k
⟳ upstream v2.4.2 · updated 2y ago
↗ Quell-Repository
← More FinanceFinance leaderboard →How we grade security →Source ↗
✓ Grade A · 100/100 · SafeSecurity assessment
✓No compromise signals11capabilities surfaced11of 20 OWASP controls clear
External endpoints declaredSuspicious network referencesExternal endpoints declaredExternal endpoints declared
scanned 1mo ago·osv · gitleaks · opengrep · picklescan + heuristics·full breakdown in the Security tab ↓

Ethereum ETL

Ethereum ETL is a widely used set of Python tools for extracting, transforming, and loading Ethereum blockchain data into analytics-ready formats. It converts raw JSON-RPC data into structured tables of blocks, transactions, ERC-20/ERC-721 token transfers, receipts, logs, and contracts, and is the pipeline behind Google BigQuery's public Ethereum dataset.

Key features

  • Exports blocks, transactions, receipts, logs, and contracts
  • Decodes ERC-20 and ERC-721 token transfers
  • Streams data to CSV/JSON, Postgres, BigQuery, or message queues
  • Extends to other EVM-compatible chains via the broader blockchain-ETL project
  • Scales from a single node to production data-warehouse ingestion

Point it at an Ethereum JSON-RPC endpoint and run ethereumetl export_all (or the streaming command) to build a queryable on-chain dataset for wallet analytics, DeFi research, or compliance investigations.

Curated mirror of the open-source Ethereum ETL (MIT). Get it from the source.

Rating rank
#1
of 15 in Finance
Install rank
#13
of 15 in Finance
Security score
100/100 · A
safe
Security rank
#1
of 15 in Finance
Installs
6.9k
cat avg 85k
This listing vs category average
Installs
this
cat avg
Security (of 100)
this
cat avg
Adoption trend
See the Finance leaderboard →
✓ Security: Safe · 100100/100 · grade Ascanned 1mo ago
✓ no compromise signals11 risk-surface · 4/20 OWASP controls flagged

Compromise signals — malicious or tampered code (leaked secrets, backdoors, a dropped executable) — reduce the score, and known dependency CVEs carry a bounded penalty (they warrant review but never QUARANTINE — update the dependency to clear). Other dangerous-by-capability traits are risk surface, expected for some capabilities. Every finding is mapped to its OWASP control below.

What this capability can do · med confidence (static)
⚑ filesystem⚑ network⚑ secrets
egress → test.pypi.org, docs.readthedocs.io, app.travis-ci.com, travis-ci.com, img.shields.io, t.me, x.com, console.cloud.google.com +32
7 steps⚑ uses secretsactions/checkout@masterelgohr/Publish-Docker-Github-Action@masteractions/setup-python@v1pypa/gh-action-pypi-publish@mastertest.pypi.orgdocs.readthedocs.iogithub.comwww.thegivingblock.com

Findings mapped to the OWASP Top 10 for LLM Applications (2025) and the OWASP Machine Learning Security Top 10. Expand any flagged control for the exact findings — compromise reduces the score; expected/risk-surface do not, except a known CVE, which carries a small bounded penalty (high/critical → Review).

OWASP Top 10 for LLM Applications
⚠LLM05Improper Output Handlingmedium
Code that pipes model/user output into shell, eval, SQL or paths unsafely.
•Suspicious code patterns — dynamic code execution · blockchain-etl-ethereum-etl-909650d/ethereumetl/cli/filter_items.py (CWE-95)risk surface
⚠LLM06Excessive Agencymedium
Over-broad tool/permission surface or unrestricted egress.
•External endpoints declared — 1 distinct host(s) · blockchain-etl-ethereum-etl-909650d/.github/workflows/publish-to-pypi.ymlrisk surface
•External endpoints declared — 13 distinct host(s) · blockchain-etl-ethereum-etl-909650d/README.mdrisk surface
•External endpoints declared — 4 distinct host(s) · blockchain-etl-ethereum-etl-909650d/docs/amazon-athena.mdrisk surface
•External endpoints declared — 2 distinct host(s) · blockchain-etl-ethereum-etl-909650d/docs/commands.mdrisk surface
•External endpoints declared — 5 distinct host(s) · blockchain-etl-ethereum-etl-909650d/docs/exporting-the-blockchain.mdrisk surface
•External endpoints declared — 3 distinct host(s) · blockchain-etl-ethereum-etl-909650d/docs/index.mdrisk surface
•External endpoints declared — 6 distinct host(s) · blockchain-etl-ethereum-etl-909650d/tests/resources/test_export_origin_job/blocks_with_logs/ipfs_Qmcs4ixnxihovGs4oQxdj9KGR9P1T6Gxb1QB111GZAzdvp_victory-soap_victory-soap_data.jsonrisk surface
⚠LLM10Unbounded Consumptionmedium
Unbounded loops/recursion causing DoS or runaway cost.
Enforced at runtime by the gateway (rate limits + spend caps + size caps); static check flags unbounded loops.
•Potentially unbounded loop — an infinite loop (while True / while(1) / for(;;)) may cause runaway consumption · blockchain-etl-ethereum-etl-909650d/ethereumetl/providers/ipc.py (CWE-835)risk surface
§LLM09MisinformationGovernance
Artifacts designed to produce false/deceptive output.
Detectable only by runtime behavioral evaluation; addressed via responsible-use attestation.
✓LLM01Prompt InjectionPassed
✓LLM02Sensitive Information DisclosurePassed
✓LLM03Supply ChainPassed
✓LLM04Data and Model PoisoningPassed
Backdoors/poisoning in training data or serialized models.
Behavioral poisoning needs model execution; static check covers unsafe serialization + dataset skew only.
✓LLM07System Prompt LeakagePassed
✓LLM08Vector and Embedding WeaknessesPassed
PII or plaintext source leakage in embedding/vector exports.
Embedding inversion/poisoning is largely runtime; static check covers PII in vector exports.
OWASP Machine Learning Security Top 10
⚠ML09Output Integritymedium
Middleware tampering with model outputs in transit.
Gateway enforces TLS + response integrity; static check flags output-rewriting code.
•Suspicious code patterns — dynamic code execution · blockchain-etl-ethereum-etl-909650d/ethereumetl/cli/filter_items.py (CWE-95)risk surface
§ML01Input Manipulation (Adversarial)Governance
Models vulnerable to adversarial perturbations.
Requires runtime robustness evaluation; addressed via publisher robustness attestation.
§ML03Model InversionGovernance
Training data reconstructable from a model's outputs.
Runtime/evaluation property; addressed via model-card data-provenance + DP attestation.
§ML04Membership InferenceGovernance
Determining whether a record was in the training set.
Runtime/evaluation property; addressed via overfitting disclosure + DP attestation.
§ML08Model SkewingGovernance
Models trained on skewed data producing biased output.
Requires fairness evaluation; addressed via model-card bias/limitations disclosure.
✓ML02Data PoisoningPassed
Poisoned training datasets with triggers or anomalous distributions.
Static check covers trigger phrasing, PII and label skew; full poisoning detection is runtime.
✓ML05Model TheftPassed
Unlicensed re-distribution / license-incompatible derivatives.
Static check verifies license declaration; extraction throttling is runtime.
✓ML06AI Supply ChainPassed
✓ML07Transfer Learning AttackPassed
Backdoored base models / LoRA adapters propagating to derivatives.
Backdoor detection needs behavioral probing; static check covers unsafe serialization + provenance.
✓ML10Model Poisoning (Weights)Passed
Tampered model weight files; integrity must be verifiable.
Static check enforces safe formats + records a content hash for downstream verification.
Other findings (6) · hygiene / uncategorized
•Unrecognized file type — '.dockerignore' is not on the allowlist · blockchain-etl-ethereum-etl-909650d/.dockerignorerisk surface
•Unrecognized file type — '.gitignore' is not on the allowlist · blockchain-etl-ethereum-etl-909650d/.gitignorerisk surface
•Unrecognized file type — '.?' is not on the allowlist · blockchain-etl-ethereum-etl-909650d/Dockerfilerisk surface
•Suspicious network references — URL shortener (30 URLs) · blockchain-etl-ethereum-etl-909650d/README.mdrisk surface
•Suspicious network references — URL shortener (4 URLs) · blockchain-etl-ethereum-etl-909650d/docs/index.mdrisk surface
•Unrecognized file type — '.ini' is not on the allowlist · blockchain-etl-ethereum-etl-909650d/tox.inirisk surface
✔ verified source · pinned blockchain-etl-ethereum-etl-909650d
Check against a policy

The same gate an agent runs before installing (POST /api/v1/trust/ethereum-etl-onchain-data-pipeline/check). Click a policy:

Consume Ethereum ETL — On-Chain Data Pipeline programmatically. Authenticate with an API key or session — see Authorize an agent.

# Agents: CHECK BEFORE YOU INSTALL (no auth) — score, grade, level, capability manifest
curl https://ai-supply.store/api/v1/trust/ethereum-etl-onchain-data-pipeline

# Gate against your org policy (returns { pass, violations })
curl -X POST https://ai-supply.store/api/v1/trust/ethereum-etl-onchain-data-pipeline/check \
  -H "Content-Type: application/json" \
  -d '{"minGrade":"B","denyPermissions":["shell"],"denyUnknownEgress":true}'

# CLI
npx ai-supply add ethereum-etl-onchain-data-pipeline

# REST (install → download)
curl -X POST https://ai-supply.store/api/v1/listings/ethereum-etl-onchain-data-pipeline/install \
  -H "Authorization: Bearer $AIM_KEY"

# MCP tool
install_listing({ "slug": "ethereum-etl-onchain-data-pipeline" })
OpenAPI spec →
vlatest
✓ Security: Safe · 1001mo ago

Curated mirror — latest upstream source. See the repository for tagged releases.

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