X advanced search builder
Crypto & AI
Build an X (Twitter) advanced search from accounts, words, dates, likes and reply filters. Get the query, a results link and what each operator does.
Open tool: X advanced search builderFree tools for reading X, crypto and AI claims
A post link, an account, a transaction, an address, a number or a prompt. Start with what you have and work out what it can tell you. The tools work with what you enter and do not look anything up on other sites.
Posts and accounts on X
Tweet ID to date
Crypto & AI
Paste an X or Twitter post link to read the exact time it was posted from its ID, plus a clean link without tracking parameters.
Open tool: Tweet ID to dateCrypto records
Transaction hash lookup
Crypto
Check a transaction hash or signature against the format of Ethereum, Base, Arbitrum, Solana or Bitcoin and open it in that network's explorer.
Open tool: Transaction hash lookupWallet address checker
Crypto
Check that an Ethereum, Base, Arbitrum, Solana or Bitcoin address is valid, test its checksum and compare it with the address you expected.
Open tool: Wallet address checkerWei, gwei and ETH converter
Crypto
Convert between wei, gwei and ETH, or between satoshis and BTC, with exact decimals. Read gas prices and on-chain amounts written in their smallest units.
Open tool: Wei, gwei and ETH converterNumbers in a claim
Percentage change calculator
Crypto & AI
Calculate the percentage change between two values, or the percentage-point change between two rates, and see what the numbers leave unanswered.
Open tool: Percentage change calculatorCrypto market cap calculator
Crypto
Calculate the token price a market cap implies, how far it is from today and the fully diluted value. Test claims like "this goes to $1".
Open tool: Crypto market cap calculatorAPR to APY calculator
Crypto
Convert APR to APY or APY back to APR for daily, weekly, monthly, quarterly or yearly compounding, and see the per-period rate behind an advertised yield.
Open tool: APR to APY calculatorAI prompts
Token counter and LLM cost calculator
AI
Count the tokens in a prompt with the GPT tokenizer in your browser and estimate what it costs to send to OpenAI, Claude, Gemini and other models.
Open tool: Token counter and LLM cost calculatorRead a post, then check its claim
Start with the claim, find its inputs, then decide what the evidence supports. This exercise uses an invented post and table so you can work through the whole route.
Fictional practice example
Weekly active addresses are up 50%. Adoption is taking off.
Created for this exercise. This is not a quotation from a real person, project or X account.
Fictional source notes
Distinct addresses that sent at least one included transaction on Example Network, a fictional network, during each window.
| Observation window | Addresses |
|---|---|
| 1 January 2026, 00:00 UTC to 8 January 2026, 00:00 UTC | 100 |
| 8 January 2026, 00:00 UTC to 15 January 2026, 00:00 UTC | 150 |
Each window includes its starting instant and excludes its ending instant. Both use the same network, included transaction types and address-counting rule.
Separate the number from the interpretation
Which part of the post can you calculate?
“Up 50%” is a claim about a change in an address count. “Adoption is taking off” is an interpretation. Establishing the change does not establish that interpretation.
Find the starting value, period and denominator
50% compared with what, over how long, and measured how?
The starting value is 100 addresses and the ending value is 150. Each observation covers seven days under the same rule. The relative-change denominator is the first window's 100 addresses. There is no measured share of all users here: the table gives address counts.
Reproduce the arithmetic
Does the reported change follow from those inputs?
The difference is 150 − 100 = 50 addresses. Divide 50 by the starting 100 and multiply by 100: the relative increase is 50%.
Calculate 100 → 150Keep the conclusion within the source
What is established, and what would you need next?
Inside this fictional example, the table supports a 50% increase in the defined address count. It does not count people or explain why the count rose. One person can use several addresses, and several people can use a shared address. To investigate adoption, define what adoption means and seek records that measure it.
In a real post, an unavailable table leaves the inputs unconfirmed. You can understand the arithmetic without claiming that the real-world increase happened.
Write a reading note you can revisit
How would you retain the useful finding without overstating it?
“The linked table reports 100 → 150 transaction-sending addresses in two consecutive seven-day windows: +50% using the first window as the base. Check the underlying records and counting rule. This does not yet establish growth in people using the network.”
You now have a reproducible calculation and a narrower conclusion. For the next real post, keep the original URL, its date, the source values and the question those values actually answer.
Take it to a real post
- Follow a real claim through its original argument
The guide follows an actual X post, the author's explanation and a contrasting essay, preserving each speaker's position.
- Read a project announcement with its documentation
The worked Base announcement distinguishes a stated milestone from the network properties described in the underlying documents.
- Separate an author's interest from evidence
Use the real project-pitch example to distinguish a declared holding, paid promotion and the claims that still need checking.