a score needs context
that’s why ANTIREKT shows how many checks were completed alongside the result
missing information should stay visible
0xf79a66967F857439120a8F91E7A2d7897e476bfC
your first day trading shouldn’t require a dictionary.
ANTIREKT turns available token data into signals you can actually understand.
paste the CA. start there.
0xf79a66967F857439120a8F91E7A2d7897e476bfC
$ANTIREKT is live on Pons.
your token-checking agent on Robinhood Chain. check liquidity, trading activity and warning signs before you ape.
try it: https://t.co/U5EH8cIQil
official CA: 0xf79a66967F857439120a8F91E7A2d7897e476bfC
meet ANTIREKT, your token-checking agent on Robinhood Chain
paste a contract address. check the liquidity, trading activity and warning signs - all in language you can actually understand
no wallet connection needed
check before you ape → https://t.co/U5EH8cJo7T
good timing
bringing ANTIREKT to orbio today
been building a token-checking agent that helps you understand the liquidity, trading activity and warning signs before you ape
we’ll share the launch details here
good timing
bringing ANTIREKT to orbio today
been building a token-checking agent that helps you understand the liquidity, trading activity and warning signs before you ape
we’ll share the launch details here
New tools for agents on Orbio.
Your agent can now run code in sandboxes, ship apps, keep its own database, run 24/7 on always-on servers and answer email from its own inbox.
Paid for in CREDIT, same as its models, search and scraping.
“we couldn’t check it” and “we found a problem” are different results
ANTIREKT tracks check coverage separately from the score
for supported curve launches without enough scoring evidence, the result stays pending while the available launch data is shown
big volume isn’t automatically a green flag
$1m daily volume against $50k liquidity means turnover is 20× the liquidity
that deserves a closer look. it doesn’t prove wash trading, but it’s more useful than celebrating the volume number alone
bonding curves can use virtual reserves to calculate prices
those numbers aren’t all funds available to withdraw
ANTIREKT separates actual Pons curve reserves from virtual pricing reserves. calling both “liquidity” would give traders the wrong picture
a token can be trading before it appears on DexScreener
we added direct onchain reads for supported Pons V2 launches so ANTIREKT can show curve reserves, price and graduation progress before a DEX pool is available
early data matters
$100k liquidity doesn’t tell the whole story
against a $500k market cap, that’s 20%
against a $10m market cap, that’s 1%
ANTIREKT considers both liquidity depth and liquidity relative to valuation
one dollar figure shouldn’t decide the score
ANTIREKT’s scores come from formulas applied to the data we can retrieve
liquidity, trading activity, buy/sell balance and market age contribute to the assessment
the agent explains the signals
it doesn’t invent a score based on vibes
ANTIREKT’s score comes from defined formulas and measured inputs.
we can trace how each available component contributes to the result.
that matters when someone asks, “why did this token get that score?”
an unusual trading pattern deserves a closer look
it doesn’t automatically prove a scam
we want ANTIREKT’s warnings to explain what was observed without pretending to know more than the data shows
a token having a price doesn’t tell you what your whole bag would sell for
the size of the trade, available reserves and fees all matter
a scanner should make those questions easier to ask
we want someone on their first day trading to understand an ANTIREKT result
if a warning needs three paragraphs of technical explanation before it makes sense, we still have work to do