Base L2
PulseAugur coverage of Base L2 — every cluster mentioning Base L2 across labs, papers, and developer communities, ranked by signal.
5 day(s) with sentiment data
-
Tencent open-sources WeKnora, integrating DeepSeek Harness for RAG-to-agent workflows
Tencent has open-sourced WeKnora, a knowledge platform for retrieval-augmented generation (RAG) to agentic workflows, which has garnered over 25,000 GitHub stars. The release includes an official DeepSeek Harness plugin…
-
AlgoVault's DeepSeek Harness adds track record tool for AI agent verification
AlgoVault has introduced a new feature, `get_track_record`, within its DeepSeek MCP Harness. This tool allows AI agents to access the verifiable track record of external tools they interact with during the same session.…
-
AlgoVault tracks 676K trade calls with 91.2% Pfizer win rate
AlgoVault Labs has reported tracking over 676,000 trade calls, with a notable 91.2% win rate for Pfizer (PFE) across more than 2100 assets on Hyperliquid. The company's confidence band for 50-54 accuracy is performing a…
-
AlgoVault tracks 600K+ AI trade calls, achieving 91.6% Pfizer win rate
AlgoVault Labs reported tracking over 600,000 trade calls in the week of September 6, 2026. The system achieved a 91.6% win rate for Pfizer (PFE) across more than 1986 assets, with a 100% win rate for the HK1810 3m mode…
-
AlgoVault tracks 524K trade calls, achieving 91.7% win rate for Pfizer
AlgoVault's weekly report for the week of August 30, 2026, tracked 524,637 trade calls. The system achieved a 91.7% win rate for Pfizer (PFE) across over 1807 assets on Hyperliquid, with a confidence band of 50-54% demo…
-
AlgoVault reports 91.7% win rate on 500k+ trade calls
AlgoVault's weekly trade-call report for the week of August 23, 2026, indicates a 91.7% win rate across over 1736 assets, with Pfizer (PFE) being a notable focus. The report highlights a 100.0% win rate for GILD over a …
-
AlgoVault launches AI trading tool with regime-aware composite verdicts
AlgoVault has developed a new AI trading agent tool that addresses the challenge of reconciling conflicting signals from various market indicators. The tool provides a single, composite verdict that is classified by mar…
-
Crypto scanner ranks perps by open interest, not volume
This article explains how the `scan_trade_calls` tool selects the universe of cryptocurrency perpetuals it analyzes, a crucial parameter that influences the output more than confidence thresholds. It details the default…
-
AlgoVault simplifies AI agent Bitcoin analysis with new quick-btc-check skill
AlgoVault has released a new tool called quick-btc-check, designed to simplify market analysis for AI agents. This skill provides a single, clear verdict on Bitcoin's current status and potential trading implications, r…
-
AlgoVault launches audited crypto trade call API with 91.8% win rate
AlgoVault has launched an API for crypto trade calls that provides an audited win rate, addressing the issue of self-reported metrics in the industry. Each trade call is hashed at generation and anchored to the Base L2 …
-
AlgoVault reports 91.8% win rate on 457k+ trade calls
AlgoVault's weekly trade-call report for the week of August 9, 2026, indicates a 91.8% win rate across over 1560 assets, with a notable 100.0% win rate for MBABYDOGE 3m. The system tracked 457,240 trade calls, with its …
-
AlgoVault tracks 435K trade calls, reports 91.7% PFE win rate
AlgoVault Labs has reported tracking over 435,000 trade calls for the week of August 2, 2026. Their system achieved a 91.7% win rate for Pfizer (PFE) across more than 1496 assets, with a notable 100.0% win rate for COIN…
-
AlgoVault launches x402 pay-per-call API for crypto trading intelligence
AlgoVault has introduced a pay-per-call API for its crypto trading intelligence, utilizing the x402 protocol. This system allows autonomous agents to access trade call data without traditional API keys or subscriptions.…
-
AlgoVault's get_trade_call server provides AI agents with direct crypto trading decisions
AlgoVault has introduced a new Model Context Protocol (MCP) server called get_trade_call, designed to provide AI agents with direct trading decisions rather than raw market data. This server synthesizes complex indicato…
-
AlgoVault MCP offers AI agents crypto trading verdicts
AlgoVault has introduced a new tool, the AlgoVault MCP, designed to provide CrewAI agents with crypto trading decisions. This tool integrates via MCPServerAdapter and offers a single `get_trade_call` function that retur…
-
Claude integrates with AlgoVault MCP for verifiable crypto trading signals
A new crypto trading research stack integrates Claude's reasoning capabilities with AlgoVault's Model Context Protocol (MCP) for decision-making. This stack, designed for 2026, uses Claude Code or Claude Desktop to comm…
-
AlgoVault launches AI agent-focused MCP server for financial market data
AlgoVault has released an MCP server designed for AI agents to use for financial market data, aiming to provide actionable trading decisions rather than just raw data. The server offers a composite BUY/SELL/HOLD verdict…
-
AlgoVault launches composite quant trade calls for AI agents
AlgoVault has launched a new service that provides composite quantitative trading calls synthesized across multiple exchanges. This service aims to simplify decision-making for AI trading agents by offering a single, un…
-
AlgoVault launches on-chain verifiable crypto signal tracking
AlgoVault has launched a new platform that provides on-chain verifiable track records for crypto signal providers. This system allows autonomous agents to audit the performance data of signal providers, moving beyond un…
-
AlgoVault leads crypto agent MCP comparison with verifiable trade calls · 1 source tracked
A comparison of six Model Context Protocol (MCP) servers for crypto trading agents highlights AlgoVault as the top choice for agents needing actionable trade calls with verifiable accuracy. Unlike CCXT MCP and CoinGecko…