StalkChain Data

Solana on-chain

Token on-chain intel (Solana) - 250 credits

stalkchain_token_onchain · 250 credits

Ask: "How many holders does this token really have, and is the LP burned?"

Everything about a Solana token that the tracked-trader data cannot see: TOTAL on-chain holder count (not just holders who use the app), circulating supply, how much of the liquidity pool is burned, whether mint and freeze authority are still live, top-10 concentration, the developer's own holding, sniper and insider share at launch, a risk score with named risks, and whether it is already flagged rugged. Also name, logo, price, market cap (live, circulating where known, with fdvUsd alongside; marketCapBasis and marketCapSource say which and from where), liquidity, 24h flow and price change across 12 windows. Use this before stalkchain_fomo_analyze_token when the question is 'is this token safe / real', and alongside it when the question is 'who holds it'.

InputTypeRequiredDescription
tokenstringyesSolana token mint address

REST: POST /api/v1/tools/stalkchain_token_onchain with the inputs as a JSON body, or GET /api/v1/tools/stalkchain_token_onchain?….

Who deployed this token, and what else they launched - 500 credits

stalkchain_token_deployer · 500 credits · Two calls: resolve the deployer, then list its launches. 250 if you pass the deployer wallet.

Ask: "Who deployed this coin, and has that wallet rugged before?"

Resolves the wallet that deployed a Solana token, Answers 'has the dev rugged before', 'what else did this deployer launch', 'is the creator a serial rugger'. then lists every other token that wallet has launched, with each one's current liquidity, market cap and LP burn, plus how many of them graduated. This is the rug-history check: a deployer with twenty dead tokens and no graduations is a very different bet from one with a single live launch. Answers 'who made this coin' and 'has this dev done it before'. Pass a mint to look up its deployer, or pass a wallet directly to inspect that deployer.

InputTypeRequiredDescription
tokenstringnoToken mint; its deployer is resolved first
deployerstringnoSkip the lookup and inspect this deployer wallet directly

REST: POST /api/v1/tools/stalkchain_token_deployer with the inputs as a JSON body, or GET /api/v1/tools/stalkchain_token_deployer?….

First buyers, snipers and bundlers - 500 credits

stalkchain_token_early_buyers · 500 credits · First buyers plus bundler concentration.

Ask: "Was this sniped, and have the early buyers already sold?"

The first wallets into a Solana token, when each bought, whether they have already sold, and what they made or lost. Adds bundler concentration: how much supply was taken by coordinated bundles at launch and how much of it they still hold. Answers 'was this sniped', 'did the early money already exit', and 'is the float real'. A token where every first buyer has sold and bundlers still hold a big share is a different risk from one where early buyers are still in.

InputTypeRequiredDescription
tokenstringyesSolana token mint address
limitintegernoHow many early buyers to return (default 20)

REST: POST /api/v1/tools/stalkchain_token_early_buyers with the inputs as a JSON body, or GET /api/v1/tools/stalkchain_token_early_buyers?….

Biggest winners and losers on a token - 250 credits

stalkchain_token_pnl_leaders · 250 credits

Ask: "Which wallets made the most money on this token?"

Who made and who lost the most money on THIS ONE token — the winners and losers table for a single coin. For the platform-wide trader rich list use stalkchain_fomo_leaderboard instead. The wallets with the largest realised plus unrealised PnL on one Solana token, with how much each put in, what they took out, and whether they are still holding. This is measured on chain, so it covers every wallet, not only tracked traders. Use it to find who is actually making money on a name, and to spot a single wallet sitting on most of the profit.

InputTypeRequiredDescription
tokenstringyesSolana token mint address
limitintegernoHow many wallets to return (default 20)

REST: POST /api/v1/tools/stalkchain_token_pnl_leaders with the inputs as a JSON body, or GET /api/v1/tools/stalkchain_token_pnl_leaders?….

On-chain PnL for any Solana wallet - 500 credits

stalkchain_wallet_pnl · 500 credits · PnL plus current holdings; 250 with includeHoldings=false.

Ask: "What is this wallet's realised PnL and win rate?"

Profit and loss for a raw Solana wallet address, measured on chain. Use when given an ADDRESS rather than a handle; for a handle use stalkchain_fomo_search. For the winners on one token use stalkchain_token_pnl_leaders. Realised and unrealised PnL for any Solana wallet, with win rate, total invested, average buy size, and its current token positions by value. Works for wallets that are not tracked traders, so it is the way to check a wallet you found in holders, first buyers or a deployer lookup. Pair it with stalkchain_fomo_resolve_trader when the wallet does belong to a known trader.

InputTypeRequiredDescription
walletstringyesSolana wallet address
includeHoldingsbooleannoAlso return current token balances by value (default true)

REST: POST /api/v1/tools/stalkchain_wallet_pnl with the inputs as a JSON body, or GET /api/v1/tools/stalkchain_wallet_pnl?….

Could I actually sell this, and at what price - 500 credits

stalkchain_token_exit_check · 500 credits · Quotes both directions to expose a one-way book.

Ask: "If I sell $50k of this right now, what do I actually get?"

Quotes a real route for selling a given USD size of a Solana token into USDC, Answers 'can I actually get out of this', 'what is the real slippage', 'will it fill'. and reports what you would actually receive, the price impact, and which venues the route goes through. This is the exit test: liquidity numbers flatter a token, an executable quote does not. Use it before trusting a position size, and to sanity-check a token that looks liquid but cannot absorb a sell. Returns the round trip too, so a token that is cheap to buy and ruinous to sell stands out.

InputTypeRequiredDescription
tokenstringyesSolana token mint address
usdnumbernoSell size in USD to quote (default 10,000)

REST: POST /api/v1/tools/stalkchain_token_exit_check with the inputs as a JSON body, or GET /api/v1/tools/stalkchain_token_exit_check?….

Is this token real, and is its volume real - 250 credits

stalkchain_token_quality · 250 credits

Ask: "Is this token verified, and is its volume real or wash traded?"

A quality read on a Solana token: an organic score with its label, whether the token is verified, its tags, and an audit covering mint and freeze authority, top-holder concentration, the developer's own balance and how many tokens that developer has minted before. Crucially it separates organic volume from total volume across four windows, so wash trading shows up as a low organic share while raw volume looks healthy. Use it to filter a discovery list before spending credits on deeper tools.

InputTypeRequiredDescription
tokenstringyesSolana token mint address

REST: POST /api/v1/tools/stalkchain_token_quality with the inputs as a JSON body, or GET /api/v1/tools/stalkchain_token_quality?….

USD price for up to 50 mints in one call - 250 credits

stalkchain_token_prices · 250 credits · Up to 50 mints in one call.

Ask: "Price these 30 mints so I can value the wallet."

Current USD price, 24h change and pool liquidity for up to 50 Solana mints in a single call. Use it to value a wallet's holdings, to price a watchlist, or to check several candidates before picking one to research. Far cheaper than calling a per-token tool repeatedly.

InputTypeRequiredDescription
tokensarray of stringyesMint addresses, up to 50

REST: POST /api/v1/tools/stalkchain_token_prices with the inputs as a JSON body, or GET /api/v1/tools/stalkchain_token_prices?….

Of the tokens that hit $X market cap, how many went higher - 1 call per token studied

stalkchain_milestone_study · 6,750 credits · One call per token studied plus the cohort reads: ~6,750 at the default sample of 25, ~15,500 at 60.

Ask: "Of the coins that reached a $3M market cap, how many went higher?"

Studies a cohort of Solana launches against a market cap milestone and measures what happened after they reached it. Answers 'of the coins that crossed $3M, how many went higher', 'is hitting $3M a signal or a top', 'is $3M rare or routine for a new launch', 'what multiple do the ones that get there reach', 'how often does a token round-trip straight back below the milestone'. Returns how many of the cohort ever crossed, how many made a new high afterwards, how many fell straight back below, and the spread of peak multiples at 1.5x, 2x, 5x and 10x. Two cohorts: 'launches' (default) is every token created in the window including the dead ones, which is the only frame that gives an honest base rate; 'reached' draws from tokens that got near the milestone, which finds far more crossers per call but over-represents the ones that stayed high, so its 'went higher' share is an upper bound. Costs one upstream call per token studied plus a few for the cohort, so start small.

InputTypeRequiredDescription
thresholdUsdnumbernoThe market cap milestone (default 3,000,000)
cohortlaunches | reachedno'launches' (default) = every token created in the window, the only honest base rate. 'reached' = tokens that got near the milestone, ~7x more crossers per call but biased toward winners.
daysAgoFromintegernoCohort start, days ago (default 120)
daysAgoTointegernoCohort end, days ago (default 30). Leave a gap to now so tokens have had time to move.
sampleintegernoHow many tokens to study (default 25). Each costs one upstream call. Under the 'launches' cohort roughly 1 in 20 crosses $3M, so a small sample measures the base rate but rarely enough crossers for the rest.
minPeakMultiplenumbernoWhat counts as 'went higher' (default 1.5x). Do not set this to 1.0: reaching the line requires settling above it, so a later close above it is near-guaranteed and 'went higher' would read ~100% by construction.

REST: POST /api/v1/tools/stalkchain_milestone_study with the inputs as a JSON body, or GET /api/v1/tools/stalkchain_milestone_study?….

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