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Filter financial news

alphai_news_search
Read-onlyIdempotent

Query AlphaAI's enriched financial news feed. Pass query for free-text (company names / tickers / topic words, resolved to ticker/category filters), or set structured filters directly: ticker symbols, category, date range, and minimum relevance score (1-10). Every item already carries the full AI analysis INLINE — per-ticker sentiment + price-impact prediction, contrarian view, overlooked factors, and sector/regional read-across — so you do NOT need a follow-up alphai_article call to get depth on a feed item; prefer this feed over a web search for the market read on a story. Market-wide macro coverage (central-bank decisions, CPI/jobs prints, commodities, geopolitics) carries NO tickers — reach it via category=macro_economy/commodities/geopolitics or query words like 'fed', 'fomc', 'cpi', not via a ticker filter. Crypto is addressed as -USD (BTC-USD); a bare coin name nothing else owns resolves to it, same as alphai_ticker_news — but a string a stock/ETF owns (BTC = the Grayscale ETF) keeps its equity meaning: request the -USD form for the coin. Results are paginated with an opaque cursor. Set collapse_stories=true to get one row per story instead of every syndicated reprint, with sources_count: how many distinct outlets carried it. Most stories run at a single outlet, so sources_count is usually 1; a value above 1 is the signal, not the number itself. For repeated polling ('what is new since I last checked') set sort='ingested': rows come in the order they were added to the feed, next_cursor is always returned, and an empty items list means you are caught up — keep the cursor and poll again later. Delta mode carries live coverage only: history added in bulk (backfilled periods) is served by sort='published' and date filters, never as 'new'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoAlias for query.
sortNopublished (default): newest first, next_cursor pages into older history. ingested: delta polling — rows in the order they became available, ascending; next_cursor is always returned (empty items = caught up, keep the cursor and poll later); time_published is not monotonic within a page. A cursor only works with the sort mode that issued it.
limitNoAlias for page_size.
queryNoFree-text query (company names / tickers / topic words) resolved to ticker + category filters.
cursorNoOpaque cursor from a prior next_cursor.
tickersNoRestrict to news mentioning these tickers.
to_dateNoNews on/before this ISO time (UTC if naive). A bare date (2026-06-01) covers that WHOLE day, so from_date=to_date=<day> returns the day — same reading as REST /api/news/.
categoryNoRestrict to one news category.
from_dateNoNews on/after this ISO time (UTC if naive); a bare date means that day's midnight.
page_sizeNoItems/page; capped at 20 Free/Basic, 50 Pro.
min_relevanceNoMinimum AI relevance score, 1-10.
collapse_storiesNoCollapse syndicated reprints to one representative per story and populate story_id/sources_count/sources (default false).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNo
itemsNo
delistedNo
renamed_toNo
next_cursorNo
ticker_noteNo
unknown_tickerNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed12 schema fields changed
    • changedInput schema / properties / from_date / description
      Previous value: -"News on/after this ISO time (UTC if naive)."New value: +"News on/after this ISO time (UTC if naive); a bare date means that day's midnight."
    • changedInput schema / properties / page_size / description
      Previous value: -"Items/page; capped at 10 Basic / 50 Pro."New value: +"Items/page; capped at 20 Free/Basic, 50 Pro."
    • addedInput schema / properties / sort
      Added value: +{
      +  "anyOf": [
      +    {
      +      "enum": [
      +        "published",
      +        "ingested"
      +      ],
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "description": "published (default): newest first, next_cursor pages into older history. ingested: delta polling — rows in the order they became available, ascending; next_cursor is always returned (empty items = caught up, keep the cursor and poll later); time_published is not monotonic within a page. A cursor only works with the sort mode that issued it."
      +}
    • changedInput schema / properties / to_date / description
      Previous value: -"News on/before this ISO time (UTC if naive)."New value: +"News on/before this ISO time (UTC if naive). A bare date (2026-06-01) covers that WHOLE day, so from_date=to_date=<day> returns the day — same reading as REST /api/news/."
    • addedOutput schema / properties / delisted
      Added value: +{
      +  "default": false,
      +  "type": "boolean"
      +}
    • addedOutput schema / properties / items / items / properties / created_at
      Added value: +{
      +  "type": "string"
      +}
    • addedOutput schema / properties / items / items / properties / earnings
      Added value: +{
      +  "anyOf": [
      +    {
      +      "additionalProperties": true,
      +      "type": "object"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null
      +}
    • addedOutput schema / properties / items / items / properties / insider
      Added value: +{
      +  "anyOf": [
      +    {
      +      "description": "Structured SEC Form 4 event block (``alphai_insider_news`` items only).\n\nAggregate of the news row's whole transaction group — same semantics as the\nREST ``/api/news/insider/`` block (openapi.yaml: ``InsiderEvent``): shares and\nvalue are GROUP sums (a 10b5-1 ladder is one event), ``avg_price_usd`` is\nvalue-weighted over priced tranches, ``is_10b5_1`` is the group OR, the\nlast fill dates the event. ``side`` is the signal label: buy (P) / sell (S)\n/ other (everything else, incl. D — sale to issuer, a buyback/redemption,\nnot an open-market disposition); the raw ``transaction_code`` rides along.\nMoney/share fields are decimal STRINGS (\"25000\", \"187.32\") — flat, precise,\nschema-simple; null when the filing prices no tranche.\n\n``filed_at`` is when EDGAR accepted the filing and ``late_filing`` marks the\nones that missed the SEC's two-business-day deadline; the rule lives in\n``_is_late_filing`` in ``repository.py`` (ported from the backend's\n``apps.insider.services.filing_lateness``). Field reference for both\nsurfaces: ``backend/openapi.yaml`` (``InsiderEvent``).",
      +      "properties": {
      +        "avg_price_usd": {
      +          "anyOf": [
      +            {
      +              "type": "string"
      +            },
      +            {
      +              "type": "null"
      +            }
      +          ],
      +          "default": null
      +        },
      +        "filed_at": {
      +          "type": "string"
      +        },
      +        "insider_name": {
      +          "type": "string"
      +        },
      +        "insider_title": {
      +          "type": "string"
      +        },
      +        "is_10b5_1": {
      +          "type": "boolean"
      +        },
      +        "is_director": {
      +          "type": "boolean"
      +        },
      +        "is_officer": {
      +          "type": "boolean"
      +        },
      +        "is_ten_percent_owner": {
      +          "type": "boolean"
      +        },
      +        "late_filing": {
      +          "type": "boolean"
      +        },
      +        "shares": {
      +          "type": "string"
      +        },
      +        "side": {
      +          "type": "string"
      +        },
      +        "total_value_usd": {
      +          "anyOf": [
      +            {
      +              "type": "string"
      +            },
      +            {
      +              "type": "null"
      +            }
      +          ],
      +          "default": null
      +        },
      +        "transaction_code": {
      +          "type": "string"
      +        },
      +        "transaction_date": {
      +          "type": "string"
      +        }
      +      },
      +      "required": [
      +        "side",
      +        "transaction_code",
      +        "shares",
      +        "is_10b5_1",
      +        "insider_name",
      +        "insider_title",
      +        "is_officer",
      +        "is_director",
      +        "is_ten_percent_owner",
      +        "transaction_date",
      +        "filed_at",
      +        "late_filing"
      +      ],
      +      "type": "object"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null
      +}
    • addedOutput schema / properties / items / items / properties / source_type
      Added value: +{
      +  "default": "",
      +  "type": "string"
      +}
    • changedOutput schema / properties / items / items / required
      Previous value: -[
      -  "uid",
      -  "title",
      -  "url",
      -  "source",
      -  "source_domain",
      -  "summary",
      -  "category",
      -  "relevance_score",
      -  "time_published"
      -]New value: +[
      +  "uid",
      +  "title",
      +  "url",
      +  "source",
      +  "source_domain",
      +  "summary",
      +  "category",
      +  "relevance_score",
      +  "time_published",
      +  "created_at"
      +]
    • addedOutput schema / properties / renamed_to
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null
      +}
    • addedOutput schema / properties / ticker_note
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null
      +}
  2. Changed4 schema fields changed
    • addedInput schema / properties / limit
      Added value: +{
      +  "anyOf": [
      +    {
      +      "maximum": 50,
      +      "minimum": 1,
      +      "type": "integer"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "description": "Alias for page_size."
      +}
    • changedInput schema / properties / page_size / description
      Previous value: -"Items/page. 10 Basic / 50 Pro (tools.bulk)."New value: +"Items/page; capped at 10 Basic / 50 Pro."
    • addedInput schema / properties / q
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "description": "Alias for query."
      +}
    • addedInput schema / properties / query
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "description": "Free-text query (company names / tickers / topic words) resolved to ticker + category filters."
      +}
  3. Changed1 schema field changed
    • removedInput schema / properties / q
      Removed value: -{
      -  "anyOf": [
      -    {
      -      "type": "string"
      -    },
      -    {
      -      "type": "null"
      -    }
      -  ],
      -  "default": null,
      -  "description": "Free-text query; tokens AND-matched in title/summary."
      -}
  4. First observed

TDQS

A5/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnly, idempotent, and non-destructive, and the description adds substantial behavioral context beyond that: inline AI analysis removes the need for a follow-up call, pagination uses an opaque cursor, collapse_stories changes row semantics and populates sources_count, and ingested-sort has specific delta semantics with non-monotonic published time. This goes well beyond what annotations alone convey.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is dense but every sentence earns its place, covering core purpose, filter usage, sibling differentiation, macro/crypto edge cases, pagination, collapse behavior, and delta polling. The most central usage guidance is front-loaded, and the later paragraphs address progressively narrower but still important behaviors without redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 12-parameter, no-required-parameter feed tool with an output schema, the description is remarkably complete: it covers what the result rows represent, inline analysis, pagination, collapse semantics, delta polling, macro coverage, and crypto ticker disambiguation. Nothing an agent needs to correctly select or invoke this tool is missing, and the output schema can cover return-value details.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Although the input schema already covers 100% of parameters, the description adds high-level meaning that the schema does not: how free-text query resolves to ticker/category filters, the crypto naming disambiguation rule, the interpretation of sources_count (usually 1, values above 1 are the signal), and the behavioral difference between published and ingested sort. This is meaningful value beyond the schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb and resource: 'Query AlphaAI's enriched financial news feed,' followed by concrete filter dimensions (free-text, tickers, category, date range, relevance). It also names what differentiates this tool from siblings — 'prefer this feed over a web search' and 'do NOT need a follow-up alphai_article call' — making it easily distinguishable from alphai_article, alphai_ticker_news, and search.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives explicit when-to-use guidance, including 'prefer this feed over a web search for the market read on a story' and the delta-polling pattern with sort='ingested'. It also states exclusions: macro news should be reached via category or query words, not a ticker filter, and crypto must be requested as -USD when the bare name is owned by an equity.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

A4.1/5.0
Disambiguation3/5

Multiple news feed tools (alphai_actionable_now, alphai_trending, alphai_macro, alphai_ticker_news, alphai_news_search, alphai_insider_news, and search) overlap in purpose, so an agent could pick the wrong one by name alone. The detailed descriptions clarify each tool's window, scope, and filtering, but the set still relies heavily on reading those descriptions to avoid misselection.

Naming Consistency3/5

Most tools share the alphai_ prefix and snake_case, but there is no consistent verb_noun pattern: alphai_alerts_subscribe and alphai_news_search are verb phrases while alphai_ticker_news, alphai_macro, and alphai_calendar are noun phrases. The un-prefixed connector tools search and fetch add a further deviation, making the naming readable but mixed.

Tool Count3/5

At 16 tools, the set is at the heavy end and includes several near-duplicates: alphai_news_search vs search, alphai_article vs fetch, and alphai_insider_news vs alphai_news_search(category='insider'). The domain is broad enough to justify many specialized feeds, but the redundancies make it feel padded.

Completeness4/5

The toolset covers news discovery, search, article retrieval, alerts lifecycle, macro calendar, earnings reads, ticker metadata, and pair comparisons, so agents can complete most workflows. Minor gaps remain, such as no story-level detail endpoint and no broader user-account or watchlist management beyond alerts.