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Get Started Free →Access DeFi data from DexPaprika: token prices, liquidity pools, OHLCV, transactions across 34+ blockchains and 30M+ pools. Free, no API key needed. Install MCP: add https://mcp.dexpaprika.com/sse as SSE server, or install plugin: /plugin marketplace add coinpaprika/claude-marketplace
.claude/skills/davepoon-dexpaprika-api/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 11% | 0% |
| case-20 | ✓→✓ | ＝ Same ✓ | 37% | 0% |
| case-21 | ✓→✓ | ＝ Same ✓ | -34% | 0% |
| case-22 | ✓→✓ | ＝ Same ✓ | 8% | 0% |
| case-02 | ✗→✗ | ＝ Same ✗ | -73% | 0% |
Access DeFi data across 34+ blockchains, 30M+ liquidity pools, and 28M+ tokens via the DexPaprika MCP server.
Add the MCP server to your Claude Code config:
json{ "mcpServers": { "dexpaprika": { "url": "https://mcp.dexpaprika.com/sse" } } }
Or install the full plugin (includes agent + 4 skills):
/plugin marketplace add coinpaprika/claude-marketplace
/plugin install dexpaprika@coinpaprika-pluginsgetCapabilities — Server capabilities, workflow examples, network synonymsgetNetworks — List 34+ supported blockchainsgetStats — Platform-wide statisticsgetNetworkDexes — DEXes on a networkgetNetworkPools — Top pools (sortable by volume, price, txns)getNetworkPoolsFilter — Filter pools by volume, txns, creation dategetDexPools — Pools for a specific DEXgetPoolDetails — Pool details (tokens, volume, liquidity)getPoolOHLCV — Historical price candles (1m to 24h intervals)getPoolTransactions — Recent swaps and tradesgetTokenDetails — Token price, liquidity, metricsgetTokenPools — All pools containing a tokengetTokenMultiPrices — Batch prices for up to 10 tokenssearch — Search tokens, pools, DEXes across all networksethereum, solana, bsc, polygon, arbitrum, base, avalanche, optimism, sui, ton, tron
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | 12,609 | 14,154 | +12% | 1 | 1 | 0% | 2,081 | 2,309 | +11% | 0 | 0 | — |
case-02 | fail→fail | 15,486 | 6,322 | -59% | 1 | 1 | 0% | 2,875 | 772 | -73% | 0 | 0 | — |
case-03 | fail→fail | 10,689 | 5,320 | -50% | 1 | 1 | 0% | 1,951 | 1,217 | -38% | 0 | 0 | — |
case-04 | fail→fail | 12,643 | 3,637 | -71% | 1 | 1 | 0% | 2,190 | 625 | -71% | 0 | 0 | — |
case-05 | fail→fail | 14,050 | 5,545 | -61% | 1 | 1 | 0% | 2,726 | 1,446 | -47% | 0 | 0 | — |
case-06 | fail→fail | 10,207 | 9,474 | -7% | 1 | 1 | 0% | 1,811 | 1,944 | +7% | 0 | 0 | — |
case-07 | fail→fail | 6,945 | 6,970 | +0% | 1 | 1 | 0% | 1,325 | 840 | -37% | 0 | 0 | — |
case-08 | fail→fail | 8,201 | 2,995 | -63% | 1 | 1 | 0% | 1,404 | 837 | -40% | 0 | 0 | — |
case-09 | fail→fail | 6,155 | 3,310 | -46% | 1 | 1 | 0% | 886 | 604 | -32% | 0 | 0 | — |
case-10 | fail→fail | 11,597 | 6,188 | -47% | 1 | 1 | 0% | 1,954 | 626 | -68% | 0 | 0 | — |
case-11 | fail→fail | 9,063 | 9,890 | +9% | 1 | 1 | 0% | 1,478 | 863 | -42% | 0 | 0 | — |
case-12 | fail→fail | 9,524 | 5,082 | -47% | 1 | 1 | 0% | 1,879 | 621 | -67% | 0 | 0 | — |
case-13 | fail→fail | 10,121 | 9,346 | -8% | 1 | 1 | 0% | 2,052 | 988 | -52% | 0 | 0 | — |
case-14 | fail→fail | 17,931 | 4,576 | -74% | 1 | 1 | 0% | 2,676 | 732 | -73% | 0 | 0 | — |
case-15 | fail→fail | 10,359 | 6,920 | -33% | 1 | 1 | 0% | 2,045 | 860 | -58% | 0 | 0 | — |
case-16 | fail→fail | 11,689 | 6,867 | -41% | 1 | 1 | 0% | 2,441 | 839 | -66% | 0 | 0 | — |
case-17 | fail→fail | 10,549 | 5,529 | -48% | 1 | 1 | 0% | 1,895 | 593 | -69% | 0 | 0 | — |
case-18 | fail→fail | 7,416 | 5,879 | -21% | 1 | 1 | 0% | 1,267 | 764 | -40% | 0 | 0 | — |
case-19 | fail→fail | 14,088 | 6,110 | -57% | 1 | 1 | 0% | 2,869 | 1,325 | -54% | 0 | 0 | — |
case-20 | pass→pass | 7,895 | 7,788 | -1% | 1 | 1 | 0% | 1,338 | 1,835 | +37% | 0 | 0 | — |
case-21 | pass→pass | 11,866 | 4,824 | -59% | 1 | 1 | 0% | 2,183 | 1,431 | -34% | 0 | 0 | — |
case-22 | pass→pass | 7,675 | 4,845 | -37% | 1 | 1 | 0% | 1,179 | 1,279 | +8% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted, and 9 counted toward the lift figure. The other 13 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +5 percentage points is the difference between those two pass rates over the 9 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.