InspectorLab

Checked, with gaps

CRAWLNET

$CRAWLSolana

Checked, with gapsin 21m 15s · Oct 6, 07:33 UTC

CRAWL is presented as a utility token burned to create crawlers or order web crawls for the crypto-focused AI model Queen, but no wallet-based product test was suppliedC6C7. The on-chain snapshot shows no mint or freeze authority and no listed restrictive token capabilities; this does not establish that the advertised product works. Rewards reportedly depend on variable creator fees, making advertised payback estimates conditional rather than dependable returns. Website and model-documentation training-token figures are inconsistent, and the dossier does not independently establish training results, reward execution or an identifiable team.

crawlnet.network
headless crawlers work the crypto web in real browsers: whitepapers, docs, governance, code. every page they pull is cleaned, deduped and tokenized into queen's dataset.

Crawlnet says it crawls crypto-related web content with headless browsers, processes pages into a dataset, and uses the dataset to pretrain Queen from scratch.

UntestedNot tested this run. Checked against Site capture

Project documentation describes the workflow, but no independent crawl-to-training test or inspection establishes execution.

To settle it: Inspect live crawler state and crawl reports, and compare dataset/model artifacts and training records.

Skeptic: plausible

The published repository describes a small model trained from scratch and documents a dataset containing crawler pages, which supports the basic crawler-to-model workflow. The stronger site wording that the dataset consists of crawler material alone is not accurate as written; see the data-source discrepancy below. [E6] [E10]

crawlnet.network
75M parameters, pretrained on 89M tokens from 79,250 pages. weights ↗

The site reports Queen v2 as a 75-million-parameter model pretrained on 89 million tokens from 79,250 pages, with weights linked on Hugging Face.

UntestedNot tested this run. Checked against Claim review

The project's linked model documentation does not independently verify weights, parameter counts or training data. Contradictory project figures support an inconsistency tag rather than refutation.

To settle it: Check the linked Hugging Face model files/config and compare them with the site's displayed version and training claims.

Skeptic: doubtful

The model card supports a roughly 75.5M-parameter model and a 79,250-page export, but it reports 75,776,124 unique training tokens and 352,321,536 tokens trained, rather than the site's 89M figure. The page count can describe a prior training snapshot, but the token-count distinction is not clearly reconciled. [E1] [E10]

crawlnet.network
next: v3 data ready, training next ... data: 182M tokens, the 160M needed for v3 is in (74,052 pages) , compute already set aside

Crawlnet says its next model version is v3, that 182 million tokens of data are ready, and that compute has been set aside for training.

UntestedNot tested this run. Checked against the record

Available training data and allocated compute are testable assertions, but no independent inspection was supplied; v3 training is still planned.

To settle it: Check later model releases and public artifacts for v3 and compare their dataset size and training status.

Skeptic: plausible

The Queen page reports 182M tokens ready for v3 and compute set aside; the treasury page also reports a substantial SOL balance. These make the roadmap feasible, though the future training run has not yet been demonstrated by the cited pages. [E1] [E8]

crawlnet.network
pump.fun creator fees land in the queen's wallet. 60% pays for crawl compute (browsers + models) and pretraining runs (GPU hours). 40% goes into a pool for crawler owners that closes every 12 hours, at 00:00 and 12:00 UTC

Crawlnet says 60% of pump.fun creator fees fund crawling and training compute and 40% goes to crawler-owner rewards paid in SOL in 12-hour rounds.

UntestedNot tested this run. Checked against Site capture

Observed treasury endpoints do not establish fee receipts, the spending allocation or twice-daily payouts; no transaction verification was supplied.

To settle it: Trace creator-fee inflows, wallet transfers, compute payments, and payout transactions using the linked Solana ledger and explorer records.

Skeptic: plausible

The manual states the 60/40 allocation, and the treasury page reports creator fees, the wallet balance, and the current 40% pool in a way consistent with that split. The funding source remains variable creator fees rather than a fixed revenue commitment. [E7] [E8]

crawlnet.network
it is split per crawler that brought 25+ new pages in that round, weighted by its owner's bag ... and per sub-agent, weighing ×0.25 ... (20% of a sub-agent's share to the crawler's owner); paid in SOL, twice a day.

The site says crawler rewards require 25 or more new pages in a round, are weighted by each owner's token holdings, and are paid in SOL; sub-agents have a quarter-weight and split proceeds 80/20 with the parent crawler owner.

UntestedNot tested this run. Checked against the record

No independently checked reward round establishes eligibility thresholds, holdings weights or sub-agent revenue splits.

To settle it: Compare round participation, wallet balances used for the stated bag calculation, and on-chain SOL payouts.

Skeptic: plausible

The manual specifies the 25-new-page eligibility threshold, bag-based weighting, SOL payouts, and sub-agent weighting and revenue split. The site also displays round pool and crawler eligibility figures. [E7] [E8]

crawlnet.network
Burn $CRAWL to spawn your own crawler.

The site says spawning a crawler burns 100,000 CRAWL and ordering a crawl burns 10,000 CRAWL after checks pass.

UntestedNot tested this run. Checked against Site capture

No wallet-tested spawn or order transaction confirms the claimed burn amounts or checks.

To settle it: Use the spawn/order flow and inspect the wallet transaction and token supply/burn records; the site states a crawler costs 100,000 tokens and an order costs 10,000.

Skeptic: plausible

The site describes 100,000 CRAWL burns to spawn crawlers and 10,000 CRAWL burns for crawl orders; the order page describes the checks before an order is burned. [E7] [E9]

crawlnet.network
Burn 10,000 $CRAWL and the crawlers read up to 25 pages of a site you name, within 3 hours: one host, robots.txt obeyed, never past a bot check.

The site says an order burns 10,000 CRAWL to crawl up to 25 pages of one host within three hours and provides a public report of what Queen retained, subject to eligibility checks and robots.txt.

UntestedNot tested this run. Checked against the record

No paid crawl was independently tested to verify timing, page limits, robots.txt compliance or retained-data reports.

To settle it: Submit an eligible URL, inspect the order status/report, and verify any token burn on-chain.

Skeptic: plausible

The order page describes a one-host crawl of up to 25 pages, robots.txt and bot-check limits, and public order reports. Its displayed examples include cases where few or no pages were retained, so an order does not imply useful retained data. [E9]

crawlnet.network
3M no cap ×4 0.483 0.966 4.8 ... # a crawler costs 100,000 $CRAWL ≈ 4.66 SOL. an estimate: fees move.

The site says crawler returns may reach stated daily SOL amounts according to token-bag multipliers, and explicitly notes that fee levels vary.

UntestedNot tested this run. Checked against the record

Actual fee pools, weighting and payouts were not independently tested against the projected SOL amounts; the quoted amounts are estimates, not guarantees.

To settle it: Compare actual round rewards and ongoing costs over time; the displayed figures are estimates, not guaranteed returns.

Skeptic: plausible

The stated SOL amounts are presented as estimates tied to the current pool, weighting rules, and variable fees, rather than guaranteed returns. However, the listed payback periods compare rewards with the crawler's burn cost and do not clearly account for the substantial CRAWL holdings needed for higher multipliers. [E2] [E8]

InspectorLab lists and checks; it doesn't rule. Nothing here is financial advice. Every verdict cites the stored files it rests on.