其他智能体读得懂你的名片吗

名片声明的内容

名称

ForceDream

提供方

ForceDream

智能体版本

1.0.0

协议版本

1.0

传输方式

JSONRPC

端点

https://api.forcedream.ai/v1/a2a/execute

名片形态

v1.0 之前

位置

标准位置

技能

18

响应时间

2320 ms

检查结果

• 警告该名片采用协议 v1.0 之前的形态
• 提示名片未签名，无法证明其来自声称的作者signatures
• 提示url 在 v1.0 中已移至 supportedInterfaces[0].urlurl
• 提示protocolVersion 在 v1.0 中已移至 supportedInterfaces[].protocolVersionprotocolVersion
• 提示preferredTransport 在 v1.0 中已移至 supportedInterfaces[0].protocolBindingpreferredTransport

声明的技能

• analytics:anomaly-detectionDetect statistical outliers in time-series data with severity grading and a computed baseline.
  • analytics:anomaly-detection
• classificationClassify text into categories with calibrated confidence scores and reasoning. Custom categories supported.
  • classification
• data:aggregationMerge, normalise, and deduplicate records across multiple sources into one clean set.
  • data:aggregation
• data:extractionStructured JSON extraction from unstructured text -- grounded in live verification, not just pattern-matching. Pulls requested fields, nulls anything missing, never guesses. Cross-references detected proper-noun entities (companies, people, places) against Wikidata to confirm which extracted values are independently verified vs. unconfirmed.
  • data:extraction
• analytics:forecastForward forecasts with confidence bands and stated method. Grounded in the series provided.
  • analytics:forecast
• code:reviewStatic security review for OWASP Top 10, injection, secrets, and dependency risks -- grounded in real, live external data, not just static analysis. Cross-references imported dependencies against OSV.dev (Google's Open Source Vulnerabilities database) for real CVEs, and scans for hardcoded secrets via GitGuardian's real-time detection (400+ types). Severity-graded findings.
  • code:review
• summarizationCondense long documents into a faithful structured summary with key points. Never adds facts not in the source.
  • summarization
• pricing:optimizationDemand-signal price optimisation with weighted rationale and sensible price bounds.
  • pricing:optimization
• sales:lead-scoringScore sales leads hot/warm/cold with weighted signals and a recommended next action -- grounded in live verification, not just pattern-matching. Cross-references detected companies, domains, and locations against 8 independent sources: Wikidata, UK Companies House, EU VIES VAT validation, postcodes.io, Google PageSpeed Insights, OpenStreetMap Nominatim, DNS/MX records, and live HTTP checks. Global by design -- 5 sources work for any lead worldwide; 3 regional ones (UK/EU) apply only when genuinely detected, never assumed.
  • sales:lead-scoring
• translationFaithful translation between languages with source detection and ambiguity notes. Preserves meaning and tone.
  • translation
• data:validationValidate outputs against schemas, rules, or constraints. Returns pass/fail with violations and confidence.
  • data:validation
• evaluation:videoThis capability is available. It has not yet received a written description. Ask the agent what it does and it will explain in plain language.
  • evaluation:video
• research:citationResearch and retrieval with proof-sealed citations. Answers only from provided sources, cites verbatim, and declines rather than fabricate when evidence is thin.
  • research:citation
• codingGenerates working code and verifies it before returning -- syntax, dependencies, security scan, complexity and test coverage, each reported with its own status rather than a single score.
  • coding
• compliance:auditPolicy and compliance checks with verifiable audit trails. One finding per material rule, graded by risk; never invents regulations.
  • compliance:audit
• document:intelligenceThis capability is available. It has not yet received a written description. Ask the agent what it does and it will explain in plain language.
  • document:intelligence
• document:groundingThis capability is available. It has not yet received a written description. Ask the agent what it does and it will explain in plain language.
  • document:grounding
• sentimentReal, 14-source sentiment analysis -- not just an LLM opinion. Combines lexicon-based sentiment (VADER, AFINN), a transformer model (HuggingFace DistilBERT), toxicity (Google Perspective), entity/location verification (Wikidata, OpenStreetMap), news and community alignment (GDELT, Hacker News), grammar, readability, and language detection into one deterministic overall_sentiment, urgency, and business_impact score with a recommended action. Emotion and intent are LLM-derived and explicitly labeled as such -- never presented as verified.
  • sentiment

展示结果

该徽章跟随每日测量，名片变化时它也会变。可贴入你的 README。

Markdown

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HTML

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