bots.st/swishrjobs
SwishrJobs
Validate jobs and deliver verified outputs
2508 ms
answered our call
- State
- Answered
- Protocol
- MCP 2025-06-18
- Tools listed
- 114
- Answered
- 3 of the last 3 calls
How to reach it
- MCP, HTTP
https://swishrjobs.com/mcp
What it can do
| Tool | What it says it does |
|---|---|
get_performance | Return the measured success rate, latency, and expected cost per accepted result for each capability, from controlled synthetic benchmarks. A capability that has not been benchmarked reports measured=false with a null success rate; no rate is ever invented. These are not customer outcomes. |
list_capabilities | List every task SwishrJobs can execute, with each one's inputs, deliverables, price, and whether it can run right now. |
preflight_job | Validate a job request and receive a priced quote without executing anything. Use this to learn the cost and the accepted inputs before authorizing. |
select_capability | Rank capabilities for a described task by task match, measured synthetic success rate, and expected cost per accepted result, and explain the ranking. Use this to decide which capability to run before quoting it. The task may be described in English, Arabic, Spanish, French, German, Portuguese… |
submit_a2a_card_validator | Validate an A2A agent card, report every missing field, and deliver a repaired copy. Before publishing an A2A agent card. Do not choose this when you need the agent's endpoints exercised. Example requests: Validate this A2A agent card. | Is my agent card complete for A2A discovery? | Fix the… |
submit_accessibility_conformance_audit | Audit an HTML page against the WCAG 2.1 success criteria that can be decided from the markup alone — page language, title, headings, a missing alt attribute, form-field labels, link and button names, table headers, iframe titles and zoom restrictions that stop a screen reader or low-vision user —… |
submit_agent_cost_attribution | Attribute agent usage cost across chosen dimensions and rank the groups. When a usage log needs cost attributed to owners or components. Do not choose this when you need live billing data from a provider. Example requests: Attribute this agent cost across agents and models. | Which agent is… |
submit_agent_trace_analyser | Summarise an agent trace: span count, total and slowest duration, and error spans. When a trace has been exported and needs summarising. Do not choose this when you need live trace data from a backend, which needs access. Example requests: Analyse this agent trace and tell me where the time went… |
submit_api_contract_diff | Compare two OpenAPI documents and report every breaking change — removed paths and operations, and newly required parameters — with the affected operation named. Before publishing an API change, to see which operations existing callers lose. Do not choose this when you need a full schema… |
submit_backtest_overfitting_check | Measure the decay from in-sample to out-of-sample performance and flag parameter-rich strategies. After a backtest, before trusting its in-sample performance. Do not choose this when a full statistical overfitting test is required. Example requests: Check this backtest for overfitting. | How much… |
submit_bank_statement_reconciler | Match a ledger against a bank statement on id and amount, and list every exception. At month-end, when a ledger must be tied to a bank statement. Do not choose this when entries need fuzzy matching on reference or date. Example requests: Reconcile this ledger against the bank statement. | What… |
submit_boundary_value_generation | Produce a standard-library Python module that produces boundary values for an integer range, plus pytest tests. Choose this when you need the boundary and just-outside values of an inclusive integer range, with tests. Do not choose this for non-integer ranges, random data generation, or… |
submit_cli_tool_scaffold | Generate a runnable argparse command-line tool with a subcommand per declared name, a test module and a README. At the start of a CLI project, to get the argument plumbing and tests in place. Do not choose this when you want the subcommand logic implemented, which needs a specification. Example… |
submit_commerce_conformance_suite | Check that a service's x402, MCP, A2A and OpenAPI discovery surfaces are all present, well formed and HTTPS-consistent. Before publishing a service for agent discovery across x402, MCP, A2A and OpenAPI. Do not choose this when you need the live endpoints exercised, which needs a request. Example… |
submit_compliance_evidence_pack | Extract the required contract clauses, map each declared obligation to its supporting sentence, and report the coverage and the gaps. When a contract or policy needs its clause coverage and evidence mapped quickly. Do not choose this when you need legal interpretation or advice, which needs a… |
submit_compliance_readiness_pack | Prepare an audit-readiness evidence pack from a project's container, infrastructure, CI and dependency artifacts: run the repository hardening and supply-chain scans, map every finding to the SOC 2 Trust Services Criteria and ISO/IEC 27001 Annex A control it bears on, name the controls with no… |
submit_cron_expression_check | Validate 5-field cron expressions, name the field that is out of range, and flag the day-of-month and day-of-week combination that most implementations treat as 'either', so a schedule that never fires is caught. Choose this to validate 5-field cron expressions, to have an out-of-range field… |
submit_csv_clean | Clean a CSV and return the cleaned file plus a record of every change. Trims cells, makes duplicate and empty column names unique, drops blank and duplicate rows, and pads or truncates ragged rows. Choose this when you want the CSV itself tidied and a change log: cells trimmed, column names made… |
submit_csv_column_profile | Profile every column of a CSV: inferred type (number, integer, date, email or text), non-empty and missing counts, distinct values, and min/max for numeric columns. Choose this for a per-column picture of a CSV: inferred type, non-empty and missing counts, distinct values, and min/max for numeric… |
submit_csv_date_normalise | Detect date columns in a CSV, report the formats present, flag dates that could be read as day/month or month/day, and return the file with every date rewritten as ISO 8601. Choose this before loading a CSV whose dates are in mixed or local formats, to detect the date columns, flag dates that… |
submit_csv_deduplicate | Find duplicate rows in a CSV, group each set with the row numbers it appears on, and return a deduplicated file keeping the first occurrence. Choose this when a CSV has repeated rows and you need them collapsed and named: the report groups each duplicate set with its row numbers and the delivered… |
submit_csv_dialect_report | Describe how a CSV is actually shaped: the detected delimiter, the column count, ragged rows with their numbers, duplicate rows, and columns that are empty in every row. Choose this when you need to understand a file's shape — its delimiter, column count, ragged rows, duplicate rows and fully… |
submit_csv_json_transformation | Produce a standard-library Python module that transforms CSV text into a JSON array of objects, plus pytest tests. The transformation is chosen from a registered template so the result is deterministic and verifiable. Choose this when you need a tested, standard-library function that parses CSV… |
submit_csv_missing_value_report | Count how much is missing in each column of a CSV, separating truly blank cells from sentinel values such as NA, null, none, '-', and reporting present counts. Choose this before analysis to see how complete each column is, with blank cells and sentinel values such as NA, null, none and '-'… |
submit_csv_preflight | Check a CSV before it is imported. Reports ragged rows, duplicate and empty column names, blank and duplicate rows, per-column type drift and column profiles, each with the row number a spreadsheet would show. Choose this when you have a CSV file and want the problems listed with the row numbers a… |
submit_csv_quality_report | Score a CSV on completeness, type consistency and uniqueness, per column, and report the columns that are always empty, mostly empty, constant, or hold mixed types, plus duplicate rows. Choose this when you need a quick, reproducible quality assessment of a dataset: a score plus per-column… |
submit_csv_to_json_rows | Convert a CSV into a JSON array of objects keyed by the header, with documented type coercion: empty becomes null, integers and numbers become numbers, true and false become booleans, everything else stays a string. Choose this when you need a CSV delivered as JSON records, with documented type… |
submit_dashboard_spec_from_questions | Turn a list of business questions into a dashboard specification with a tile and visualisation per question. At dashboard design time, before building it in a BI tool. Do not choose this when you need the dashboard built or the data queried. Example requests: Turn these questions into a dashboard… |
submit_data_lineage_graph | Derive a table-level lineage graph from a set of create/select statements, with a Mermaid diagram. When a set of SQL models needs a dependency graph. Do not choose this when column-level or runtime lineage is required. Example requests: Build a lineage graph from these SQL files. | What depends on… |
submit_data_migration_readiness_pack | Profile a source extract against a target schema: per-column type and null profile, unmapped columns, absent target fields, and a go/no-go readiness verdict. Before a data migration or a bulk load, to find the blockers and the weak columns. Do not choose this when you need the data transformed or… |
submit_data_validation_module | Produce a standard-library Python module that validates a record and returns structured errors, plus pytest tests. The rule set is chosen from a registered template so the result is deterministic and verifiable. Choose this when a record must be checked against a registered rule set and the result… |
submit_database_migration_review | Review a SQL migration for destructive and blocking operations — dropped tables and columns, NOT NULL columns without defaults, type changes and renames — and deliver a safe deployment order. Before running a migration against a database that is serving traffic. Do not choose this when you need an… |
submit_dataset_quality_report | Produce a standard-library Python module that computes a quality report for an array of records, plus pytest tests. Choose this when you need a computed quality summary of a record array: counts, presence, nulls, completeness ratio, exact duplicates. Do not choose this for statistical or semantic… |
submit_dbt_test_generation | Parse a dbt model's SQL and generate a schema.yml with not_null tests for every selected column. When a dbt model needs baseline tests generated from its SQL. Do not choose this when the model uses jinja or macros a textual parse cannot resolve. Example requests: Generate dbt tests for this model… |
submit_dependency_vulnerability_triage | Match a lockfile against an advisory feed and return the affected dependencies ranked by severity. When you have a lockfile and an advisory list and want the overlap ranked. Do not choose this when you need live advisory data or transitive resolution (use a scanner). Example requests: Which of my… |
submit_dq_rules_generator | Infer per-column data-quality rules from a sample and generate a test module plus a rules file. When a new dataset needs baseline quality checks. Do not choose this when rules must be authored against a specification, not inferred. Example requests: Generate data-quality rules from this sample. |… |
submit_duplicate_group_report | Produce a standard-library Python module that groups records sharing a key field, plus pytest tests. Choose this when you need each repeated key value reported with its count and the positions of its members. Do not choose this to remove duplicates (use record-deduplication) or to match… |
submit_edge_case_check | Produce a standard-library Python module that reports boundary conditions for a text value, plus pytest tests. Choose this when a text value must be classified against a fixed set of boundary conditions, one boolean each. Do not choose this for validation with error messages (use… |
submit_embedding_similarity_report | Compare two sets of texts and report the closest match and any near-duplicates. When deduplicating or matching records by text similarity. Do not choose this when semantic similarity is required across different vocabulary. Example requests: Find near-duplicate texts between these two sets. |… |
submit_env_config_parsing | Produce a standard-library Python module that parses a dotenv-style configuration into JSON, plus pytest tests. Choose this when you need to parse a dotenv-style configuration into a JSON object, skipping comments and blank lines and honouring quoted values, delivered as a module with tests. Do… |
submit_env_file_check | Check a .env file for duplicate keys, empty values, unquoted values with spaces, invalid names and values that look like leaked credentials. Reports each problem with its line number. Choose this before a deploy, or when auditing an environment file, to find duplicate keys, empty values, unquoted… |
submit_eval_dataset_builder | Turn a table of task examples into a JSONL evaluation set and a scoring rubric. When you have labelled examples and need an eval set and rubric. Do not choose this when you need synthetic examples generated, which needs a model. Example requests: Build an eval dataset from these examples. | Turn… |
submit_expense_policy_checker | Check an expense claim against an amount limit, allowed categories and receipt rules. When a claim must be checked against a stated policy. Do not choose this when the policy varies by role, project or period. Example requests: Check these expenses against our policy. | Which expense claims break… |
submit_feature_flag_audit | Find feature flags that are declared but appear nowhere in the source, and deliver a removal plan. During flag cleanup, when you have the flag list and the source. Do not choose this when flags are resolved dynamically, which a textual check cannot follow. Example requests: Which feature flags can… |
submit_field_mapping | Produce a standard-library Python module that renames and selects JSON fields using a mapping, plus pytest tests. Choose this when fields must be renamed and selected via an explicit source-to-destination mapping. Do not choose this for computed or transformed values: only names and selection… |
submit_financial_ratio_report | Compute standard financial ratios from a trial balance and report any missing inputs. When a trial balance or account summary needs standard ratios. Do not choose this when account names must be mapped from a chart of accounts. Example requests: Compute the financial ratios from this trial… |
submit_fine_tune_data_formatter | Convert raw instruction/response pairs into training JSONL in chat or completion format. When preparing labelled pairs for a fine-tuning run. Do not choose this when you need data quality judged, which needs a model. Example requests: Format these pairs for fine-tuning. | Convert my… |
submit_fx_rate_normaliser | Convert a column of amounts to a base currency using a supplied rate table. When amounts in mixed currencies must be brought to one base. Do not choose this when live or date-specific rates are required. Example requests: Convert these amounts to USD. | Normalise this column to a single currency… |
submit_guardrail_policy_config | Turn a list of guardrail rules into a policy document and a test module, and check examples against it. When codifying content or safety rules for an agent. Do not choose this when you need a live moderation model, which needs a model call. Example requests: Build a guardrail policy from these… |
submit_html_text_extraction | Produce a standard-library Python module that extracts readable text from an HTML fragment, plus pytest tests. Choose this when you need the visible text of an HTML fragment with tags removed, script and style contents dropped, entities unescaped and whitespace collapsed, delivered as a module… |
submit_iban_bic_validator | Validate IBAN checksums and BIC formats across a table of accounts. Before a payment run, to catch malformed account identifiers. Do not choose this when account existence must be confirmed, which needs the bank. Example requests: Validate these IBANs and BICs. | Which of these account numbers are… |
submit_invoice_data_extraction | Extract invoice number, date, total and VAT from invoice text and deliver a reconciliation CSV. When invoices arrive as text and need structuring for reconciliation. Do not choose this when the source is a PDF or scan, which needs OCR. Example requests: Extract the totals from these invoices. |… |
submit_iso20022_validator | Validate an ISO 20022 payment message for its required blocks and fields, and total the amounts. Before sending a payment message, to catch missing elements. Do not choose this when full XSD schema validation is required. Example requests: Validate this ISO 20022 payment message. | Is my pain.001… |
submit_job | Authorize and execute a previously quoted job, then return the verified result. Requires explicit authorization. Prefer a capability-specific tool (for example submit_csv_json_transformation) when one exists, because it documents that capability's exact inputs. |
submit_json_csv_conversion | Produce a standard-library Python module that renders a JSON array of objects as CSV text, plus pytest tests. Choose this when you need a tested function that renders a JSON array of objects as CSV, using the union of keys as the header. Do not choose this when you need the conversion performed on… |
submit_json_diff | Produce a standard-library Python module that reports the structural difference between two JSON documents, plus pytest tests. Choose this when you need the structural difference between two JSON documents as added, removed and changed paths, delivered as a module with tests. Do not choose this… |
submit_json_key_audit | Audit the keys in a JSON document: keys that differ only by case, keys containing non-identifier characters, total key count, occurrence frequency and maximum nesting depth. Choose this before generating a schema or code from a JSON sample, to find keys that differ only by case, keys with… |
submit_json_ndjson_check | Validate a JSON Lines (NDJSON) stream and report the line number and parser error of every line that is not valid JSON, so a broken export can be fixed without bisecting it. Choose this when a JSON Lines or NDJSON file fails to load and you need the exact line number and parser error rather than… |
submit_json_schema_inference | Produce a standard-library Python module that infers a JSON Schema from sample records, plus pytest tests. Choose this when you need a draft 2020-12 JSON Schema inferred from sample objects, with keys present in every record marked required. Do not choose this for a hand-tuned schema or for… |
submit_json_schema_validation | Validate a JSON document against a JSON Schema and report every violation with its JSON Pointer path and the keyword that failed. Supports type, required, properties, items, enum, const, numeric bounds, string length and pattern, array size and uniqueness, and additionalProperties. Choose this… |
And 54 more tools.
In its maker's words
Deterministic digital jobs with independently verified deliverables.
- Website
- swishrjobs.com
- Source
- github.com/Mahmoudaly187/swishrjobs
- Publisher
- swishrjobs.com
- Listed from
- the official MCP Registry as
com.swishrjobs/swishrjobs - Version
- 1.0.0, updated 31 Oct 2026
- Kinds of work
- AI models and agent tools, Code and developer tools, Documents and files
The domain it lives on
- swishrjobs.com
- registered 13 Mar 2026 (8 months ago), at Cloudflare, Inc., its name does not resolve now
From our own crawl of domain names: registry records and the home page as our crawler last saw it.
Every call we made
| When | What happened | Time |
|---|---|---|
| Answered | 2508 ms | |
| Answered | 2708 ms | |
| Answered | 738 ms |
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