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FlareSignal Intelligence

by flaresignal.io in Other

MCP serverPassing, checked 9 h ago

Flare and Songbird intelligence with provenance, source health, MCP access and x402 readiness.

https://flaresignal.io/wp-json/flaresignal/v1/mcp
Tools
59
open to any client
Uptime
87.1%
last 30 days
Response time
465 ms
754 ms slowest 5%
Last check
Passed
9 h ago, next any minute now

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How to connect

Add it to any MCP client that supports remote servers.

{
  "mcpServers": {
    "flaresignal-intelligence": {
      "type": "http",
      "url": "https://flaresignal.io/wp-json/flaresignal/v1/mcp"
    }
  }
}

59 tools

  • flaresignal.agent.access.catalog

    Describe API-key bootstrap, short-lived delegated agent sessions, read-only scope profiles, TTL limits, live entitlement/revocation policy and the non-delegable generic-surface boundary.

  • flaresignal.agent.brief.query

    Route a broad natural-language Flare question to a compact provenance-aware packet of entitled canonical observations with deterministic drill-down capabilities and follow-up questions.

  • flaresignal.agent.ontology.get

    Expose machine-only concepts, aliases and typed relationships connecting market, XRPFi, yield, collateral, productive capital, liquidity, value capture, events and historical coverage without asserting causality.

  • flaresignal.agent.plan

    Dry-run a evidence-backed research workflow over permanent cross-composition profiles. Returns declared claim/metric dependencies, execution order, propagated entitlements and current historical readiness without executing analytical compositions.

  • flaresignal.agent.questions.catalog

    Browse machine-only common questions and deterministic routes for broad Flare, XRPFi, yield, collateral, market-structure, risk and historical-research intents.

  • flaresignal.agent.research

    Execute a read-only research plan through the permanent cross-composition engine and return claim-level findings, contradictions, evidence gaps, selected evidence scope and reproducible lineage without re-deriving source metrics.

  • flaresignal.agent.research.trace

    Return cached read-only lineage for one recent research packet: finding to domain to permanent composition to claim to canonical metric, dataset and source evidence.

  • flaresignal.agent.session.create

    Create a short-lived read-only agent session rooted in an existing FlareSignal API key. Requested scopes may only narrow the parent account authority.

  • flaresignal.agent.session.get

    Inspect the current short-lived delegated agent session, its exact capability allow-list, expiry and live parent entitlement state without revealing the session secret.

  • flaresignal.agent.task.contract

    Describe the deterministic task envelope, acceptance policy, state model, idempotency, session binding, result retention and A2A-adapter readiness without claiming native A2A protocol conformance.

  • flaresignal.agent.task.get

    Retrieve one recent session-bound task packet, acceptance decision, state history and result without re-executing the research.

  • flaresignal.agent.task.submit

    Submit one session-bound read-only research task. FlareSignal preflights deterministic profile, delegated scope, live entitlement and historical readiness, then executes only the existing research stack when accepted.

  • flaresignal.agent.task.trace

    Trace a recent task from delegated task envelope through research and selected evidence lineage. The trace never broadens the underlying research evidence scope.

  • flaresignal.analytics.catalog

    List higher-level FlareSignal analytical capabilities that operate above raw data surfaces and declare their evidence, confidence and historical-completeness contract.

  • flaresignal.analytics.metric.context

    Return an evidence-aware analytical packet for one canonical metric: latest observation, deterministic retained-range statistics, source context, requested-window readiness and explicit historical-completeness constraints without interpolation or prediction.

  • flaresignal.composed.catalog

    List deterministic multi-dataset analytical compositions, their declared canonical component metrics, input mode, supported ranges/event horizons, claim IDs and truth boundaries.

  • flaresignal.composed.query

    Assemble canonical FlareSignal metrics or permanent Event Intelligence checkpoints into evidence-linked conclusion objects with claim-level confidence, actual retained-window coverage and coverage-gated claim voting. Supports nine permanent compositions plus deterministic…

  • flaresignal.composed.synthesis.catalog

    List permanent cross-composition profiles, their child composition/claim dependencies, voting domains and truth boundaries.

  • flaresignal.composed.synthesis.query

    Reuse permanent composition packets to produce transparent cross-domain regime labels with visible domain postures, child claim lineage, no hidden score and optional non-voting Event Intelligence context.

  • flaresignal.discovery.a2a.get

    Describe the native A2A 0.3 HTTP+JSON interface, supported operations, delegated-session authentication, polling task lifecycle and the exact boundary between A2A transport and the existing FlareSignal task/research engine.

  • flaresignal.discovery.capabilities.get

    Resolve one canonical FlareSignal machine capability definition by permanent capability ID.

  • flaresignal.discovery.capabilities.list

    Enumerate the canonical FlareSignal machine capability registry with stable IDs, truth boundaries, access modes and discovery metadata.

  • flaresignal.discovery.catalog

    Browse capability semantics designed for autonomous agents: assets, domains, intents, example questions, truth boundaries, access policy and invocation metadata.

  • flaresignal.discovery.datasets.get

    Resolve one permanent FlareSignal machine dataset contract by dataset ID.

  • flaresignal.discovery.datasets.list

    Enumerate permanent machine dataset IDs for every active canonical metric and canonical historical data family, including schemas, methodology, access and evidence-coverage state.

  • flaresignal.discovery.distribution.get

    Return FlareSignal machine-distribution identity and publication artefacts for MCP Registry, x402 Bazaar and llms.txt without claiming third-party publication or indexing.

  • flaresignal.discovery.inventory.query

    Inspect the current canonical metric, source and Intelligence module inventory without scraping presentation-layer pages.

  • flaresignal.discovery.metrics.catalog

    Browse every active canonical FlareSignal metric definition with question examples, methodology/accounting metadata and direct machine invocation hints.

  • flaresignal.discovery.metrics.search

    Deterministically search the complete active FlareSignal metric registry by natural-language question, asset, domain or concept and return exact metric keys plus safe live/history invocation routes.

  • flaresignal.discovery.parity.get

    Audit every registered FlareSignal GET/read surface against the machine surface registry and report any human-data route without a structured machine equivalent.

  • flaresignal.discovery.search

    Deterministically rank FlareSignal capabilities for a natural-language data question using curated capability semantics and synonyms; no LLM is used and the search does not answer the underlying intelligence question.

  • flaresignal.discovery.surfaces.get

    Resolve one FlareSignal human-product read surface contract, including its source route, machine route, input schema and original permission boundary.

  • flaresignal.discovery.surfaces.list

    Enumerate every structured GET surface used by the FlareSignal product with a permanent surface ID, schema and permission-preserving machine equivalent.

  • flaresignal.events.archive.query

    Query the permanent classified Event Intelligence archive with provenance and outcome-state references through the common machine envelope.

  • flaresignal.events.live.query

    Query significance-ranked current FlareSignal events from the canonical live-event ledger. Returned event direction, actor and protocol context are evidence-backed and are not reconstructed by the machine layer.

  • flaresignal.flow_atlas.stream

    Query the structured Flow Atlas composite stream used by the live visual: verified market executions, evidence-backed live events, verified wallet transfers and explicitly labelled measured state changes. The machine layer does not infer geography, trade side or protocol…

  • flaresignal.history.availability.query

    Expose verified monthly historical availability with canonical dataset identity plus canonical metric-history coverage so agents can assess what evidence is available before requesting a research packet.

  • flaresignal.history.coverage.query

    Query retained metric history and, on request, canonical dataset readiness with alias resolution, earliest/latest evidence bounds, completeness where defensible, explicit gaps and source-bounded semantics.

  • flaresignal.history.intelligence.query

    Classify canonical dataset history by coverage quality, explicit gap type, provenance strength, deterministic evidence confidence, completeness and safe-use decision support. Optionally includes cadence-based expected-vs-observed metric gap reasoning without manufacturing…

  • flaresignal.intelligence.catalog.get

    Discover the current FlareSignal Intelligence modules, sections, access boundaries and readiness state as structured metadata rather than scraping the navigation or rendered page HTML.

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